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1. Implementing youth participatory action research at a continuation high school.

Author

Lárez, Natalie A, Lárez, Natalie A, Sharkey, Jill D, Frattaroli, Shannon, Avila, Elena, Medina, Andres, Lárez, Natalie A, Lárez, Natalie A, Sharkey, Jill D, Frattaroli, Shannon, Avila, Elena, and Medina, Andres

Abstract

ObjectiveTo describe the process of implementing a Youth Participatory Action Research (YPAR) project at a continuation high school (CHS) and share the results of a youth-designed research project that explores barriers to high school completion.Data sources and study settingYPAR was implemented across three cohorts at a CHS in the central coast of California from 2019 to 2022. Student survey respondents were enrolled CHS students between March and April 2021.Study designA modified YPAR curriculum integrating research methodology and social justice topics was used to guide student-led research that resulted in a cross-sectional survey.Data collectionField notes maintained by the first author documented the process of implementing YPAR including the curriculum, conversations, and research decisions and procedures. A student-designed survey disseminated to all enrolled students resulted in 76 (66%) participant responses. The survey included 18 close-ended questions and three narrative responses.Principal findingsThis study details how YPAR methodologies can be translated to a high school credit recovery program. For example, student cohorts were needed to maintain continuity over time. A student-designed survey revealed that 72% of student respondents reported taking care of family members and illuminated high rates of depression symptoms.ConclusionsThis study offers a detailed description of how we implemented YPAR at a credit recovery program and provides student-driven perspectives on educational reform and evaluation. This project addresses the implementation and challenges of using YPAR to engage youth in transformational resistance to rapidly study and improve CHS' policy and practice.

Published
2023

2. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, González, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martínez-Denegri, Guillermo, Näsström, Hampus, Michaels, Hannes, Köbler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jerónimo-Rendón, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjörnsson, Kári, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud. H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V., Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schröder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, González, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martínez-Denegri, Guillermo, Näsström, Hampus, Michaels, Hannes, Köbler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jerónimo-Rendón, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjörnsson, Kári, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud. H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V., Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schröder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022

3. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022
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4. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022
Full Text
View/download PDF

5. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences., Funding Agencies|European UnionEuropean Commission [841386, 795079, 840751, 787289, 764787, 756962, 764047, 850937]; Helmholtz-Zentrum Berlin fur Materialien und Energie; Cambridge India Ramanujan Scholarship; China Scholarship CouncilChina Scholarship Council; Deutscher Akademischer Austauschdienst (DAAD)Deutscher Akademischer Austausch Dienst (DAAD); EPSRCUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/S009213/1]; GCRF/EPSRC SUNRISEUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/P032591/1]; German Federal Ministry for Education and Research (BMBF)Federal Ministry of Education & Research (BMBF) [03XP0091, ZT-0024, 03SF0540, 03SF0557A]; Helmholtz Energy Materials Foundry; The Helmholtz Innovation Laboratory HySPRINT; HyPerCells graduate school; Helmholtz AssociationHelmholtz Association; Helmholtz International Research School (HI-SCORE); Erasmus programme (CDT-PV) [EP/L01551X/1]; European Unions Horizon 2020 research and innovation programme (Marie Sklodowska-Curie grant) [841386, 795079, 840751]; Royal Society University Research FellowshipRoyal Society of London [UF150033]; SNaPSHoTs (BMBF)Federal Ministry of Education & Research (BMBF); SPARC II; German Research Foundation (DFG)German Research Foundation (DFG) [SPP2196]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51872014]; Recruitment Programme of Global Experts; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities; 111 projectMinistry of Education, China - 111 Project [B17002]; US Department of Energys Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) agreementUnited States Department of Energy (DOE) [DE-EE0008551]; Colombia Scientific Programme [FP44842-218-2018]; committee for the development of research (CODI) of the Universidad de Antioqui

Published
2022
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6. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022
Full Text
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7. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences., Funding Agencies|European UnionEuropean Commission [841386, 795079, 840751, 787289, 764787, 756962, 764047, 850937]; Helmholtz-Zentrum Berlin fur Materialien und Energie; Cambridge India Ramanujan Scholarship; China Scholarship CouncilChina Scholarship Council; Deutscher Akademischer Austauschdienst (DAAD)Deutscher Akademischer Austausch Dienst (DAAD); EPSRCUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/S009213/1]; GCRF/EPSRC SUNRISEUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/P032591/1]; German Federal Ministry for Education and Research (BMBF)Federal Ministry of Education & Research (BMBF) [03XP0091, ZT-0024, 03SF0540, 03SF0557A]; Helmholtz Energy Materials Foundry; The Helmholtz Innovation Laboratory HySPRINT; HyPerCells graduate school; Helmholtz AssociationHelmholtz Association; Helmholtz International Research School (HI-SCORE); Erasmus programme (CDT-PV) [EP/L01551X/1]; European Unions Horizon 2020 research and innovation programme (Marie Sklodowska-Curie grant) [841386, 795079, 840751]; Royal Society University Research FellowshipRoyal Society of London [UF150033]; SNaPSHoTs (BMBF)Federal Ministry of Education & Research (BMBF); SPARC II; German Research Foundation (DFG)German Research Foundation (DFG) [SPP2196]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51872014]; Recruitment Programme of Global Experts; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities; 111 projectMinistry of Education, China - 111 Project [B17002]; US Department of Energys Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) agreementUnited States Department of Energy (DOE) [DE-EE0008551]; Colombia Scientific Programme [FP44842-218-2018]; committee for the development of research (CODI) of the Universidad de Antioqui

Published
2022
Full Text
View/download PDF

8. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022
Full Text
View/download PDF

9. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences., Funding Agencies|European UnionEuropean Commission [841386, 795079, 840751, 787289, 764787, 756962, 764047, 850937]; Helmholtz-Zentrum Berlin fur Materialien und Energie; Cambridge India Ramanujan Scholarship; China Scholarship CouncilChina Scholarship Council; Deutscher Akademischer Austauschdienst (DAAD)Deutscher Akademischer Austausch Dienst (DAAD); EPSRCUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/S009213/1]; GCRF/EPSRC SUNRISEUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/P032591/1]; German Federal Ministry for Education and Research (BMBF)Federal Ministry of Education & Research (BMBF) [03XP0091, ZT-0024, 03SF0540, 03SF0557A]; Helmholtz Energy Materials Foundry; The Helmholtz Innovation Laboratory HySPRINT; HyPerCells graduate school; Helmholtz AssociationHelmholtz Association; Helmholtz International Research School (HI-SCORE); Erasmus programme (CDT-PV) [EP/L01551X/1]; European Unions Horizon 2020 research and innovation programme (Marie Sklodowska-Curie grant) [841386, 795079, 840751]; Royal Society University Research FellowshipRoyal Society of London [UF150033]; SNaPSHoTs (BMBF)Federal Ministry of Education & Research (BMBF); SPARC II; German Research Foundation (DFG)German Research Foundation (DFG) [SPP2196]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51872014]; Recruitment Programme of Global Experts; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities; 111 projectMinistry of Education, China - 111 Project [B17002]; US Department of Energys Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) agreementUnited States Department of Energy (DOE) [DE-EE0008551]; Colombia Scientific Programme [FP44842-218-2018]; committee for the development of research (CODI) of the Universidad de Antioqui

Published
2022
Full Text
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10. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, González, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martínez-Denegri, Guillermo, Näsström, Hampus, Michaels, Hannes, Köbler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jerónimo-Rendón, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjörnsson, Kári, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud. H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V., Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schröder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, González, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martínez-Denegri, Guillermo, Näsström, Hampus, Michaels, Hannes, Köbler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jerónimo-Rendón, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjörnsson, Kári, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud. H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V., Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schröder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022

11. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, García-Fernández, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Bayrak Pehlivan, Ilknur, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, JunXin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark, V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.

Published
2022
Full Text
View/download PDF

12. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences., Funding Agencies|European UnionEuropean Commission [841386, 795079, 840751, 787289, 764787, 756962, 764047, 850937]; Helmholtz-Zentrum Berlin fur Materialien und Energie; Cambridge India Ramanujan Scholarship; China Scholarship CouncilChina Scholarship Council; Deutscher Akademischer Austauschdienst (DAAD)Deutscher Akademischer Austausch Dienst (DAAD); EPSRCUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/S009213/1]; GCRF/EPSRC SUNRISEUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/P032591/1]; German Federal Ministry for Education and Research (BMBF)Federal Ministry of Education & Research (BMBF) [03XP0091, ZT-0024, 03SF0540, 03SF0557A]; Helmholtz Energy Materials Foundry; The Helmholtz Innovation Laboratory HySPRINT; HyPerCells graduate school; Helmholtz AssociationHelmholtz Association; Helmholtz International Research School (HI-SCORE); Erasmus programme (CDT-PV) [EP/L01551X/1]; European Unions Horizon 2020 research and innovation programme (Marie Sklodowska-Curie grant) [841386, 795079, 840751]; Royal Society University Research FellowshipRoyal Society of London [UF150033]; SNaPSHoTs (BMBF)Federal Ministry of Education & Research (BMBF); SPARC II; German Research Foundation (DFG)German Research Foundation (DFG) [SPP2196]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51872014]; Recruitment Programme of Global Experts; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities; 111 projectMinistry of Education, China - 111 Project [B17002]; US Department of Energys Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) agreementUnited States Department of Energy (DOE) [DE-EE0008551]; Colombia Scientific Programme [FP44842-218-2018]; committee for the development of research (CODI) of the Universidad de Antioqui

Published
2022
Full Text
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13. An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Author

Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, Unger, Eva, Jacobsson, T. Jesper, Hultqvist, Adam, Garcia-Fernandez, Alberto, Anand, Aman, Al-Ashouri, Amran, Hagfeldt, Anders, Crovetto, Andrea, Abate, Antonio, Ricciardulli, Antonio Gaetano, Vijayan, Anuja, Kulkarni, Ashish, Anderson, Assaf Y., Darwich, Barbara Primera, Yang, Bowen, Coles, Brendan L., Perini, Carlo A. R., Rehermann, Carolin, Ramirez, Daniel, Fairen-Jimenez, David, Di Girolamo, Diego, Jia, Donglin, Avila, Elena, Juarez-Perez, Emilio J., Baumann, Fanny, Mathies, Florian, Gonzalez, G. S. Anaya, Boschloo, Gerrit, Nasti, Giuseppe, Paramasivam, Gopinath, Martinez-Denegri, Guillermo, Nasstrom, Hampus, Michaels, Hannes, Kobler, Hans, Wu, Hua, Benesperi, Iacopo, Dar, M. Ibrahim, Pehlivan, Ilknur Bayrak, Gould, Isaac E., Vagott, Jacob N., Dagar, Janardan, Kettle, Jeff, Yang, Jie, Li, Jinzhao, Smith, Joel A., Pascual, Jorge, Jeronimo-Rendon, Jose J., Montoya, Juan Felipe, Correa-Baena, Juan-Pablo, Qiu, Junming, Wang, Junxin, Sveinbjornsson, Kari, Hirselandt, Katrin, Dey, Krishanu, Frohna, Kyle, Mathies, Lena, Castriotta, Luigi A., Aldamasy, Mahmoud H., Vasquez-Montoya, Manuel, Ruiz-Preciado, Marco A., Flatken, Marion A., Khenkin, Mark V, Grischek, Max, Kedia, Mayank, Saliba, Michael, Anaya, Miguel, Veldhoen, Misha, Arora, Neha, Shargaieva, Oleksandra, Maus, Oliver, Game, Onkar S., Yudilevich, Ori, Fassl, Paul, Zhou, Qisen, Betancur, Rafael, Munir, Rahim, Patidar, Rahul, Stranks, Samuel D., Alam, Shahidul, Kar, Shaoni, Unold, Thomas, Abzieher, Tobias, Edvinsson, Tomas, David, Tudur Wyn, Paetzold, Ulrich W., Zia, Waqas, Fu, Weifei, Zuo, Weiwei, Schroeder, Vincent R. F., Tress, Wolfgang, Zhang, Xiaoliang, Chiang, Yu-Hsien, Iqbal, Zafar, Xie, Zhiqiang, and Unger, Eva

Abstract

Making large datasets findable, accessible, interoperable and reusable could accelerate technology development. Now, Jacobsson et al. present an approach to build an open-access database and analysis tool for perovskite solar cells. Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences., Funding Agencies|European UnionEuropean Commission [841386, 795079, 840751, 787289, 764787, 756962, 764047, 850937]; Helmholtz-Zentrum Berlin fur Materialien und Energie; Cambridge India Ramanujan Scholarship; China Scholarship CouncilChina Scholarship Council; Deutscher Akademischer Austauschdienst (DAAD)Deutscher Akademischer Austausch Dienst (DAAD); EPSRCUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/S009213/1]; GCRF/EPSRC SUNRISEUK Research & Innovation (UKRI)Engineering & Physical Sciences Research Council (EPSRC) [EP/P032591/1]; German Federal Ministry for Education and Research (BMBF)Federal Ministry of Education & Research (BMBF) [03XP0091, ZT-0024, 03SF0540, 03SF0557A]; Helmholtz Energy Materials Foundry; The Helmholtz Innovation Laboratory HySPRINT; HyPerCells graduate school; Helmholtz AssociationHelmholtz Association; Helmholtz International Research School (HI-SCORE); Erasmus programme (CDT-PV) [EP/L01551X/1]; European Unions Horizon 2020 research and innovation programme (Marie Sklodowska-Curie grant) [841386, 795079, 840751]; Royal Society University Research FellowshipRoyal Society of London [UF150033]; SNaPSHoTs (BMBF)Federal Ministry of Education & Research (BMBF); SPARC II; German Research Foundation (DFG)German Research Foundation (DFG) [SPP2196]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51872014]; Recruitment Programme of Global Experts; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities; 111 projectMinistry of Education, China - 111 Project [B17002]; US Department of Energys Office of Energy Efficiency and Renewable Energy under Solar Energy Technologies Office (SETO) agreementUnited States Department of Energy (DOE) [DE-EE0008551]; Colombia Scientific Programme [FP44842-218-2018]; committee for the development of research (CODI) of the Universidad de Antioqui

Published
2022
Full Text
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14. The dependency of red Rubisco on its cognate activase for enhancing plant photosynthesis and growth

Author

Gunn, Laura, Martin Avila, Elena, Birch, Rosemary, Whitney, Spencer M, Gunn, Laura, Martin Avila, Elena, Birch, Rosemary, and Whitney, Spencer M

Abstract

Plant photosynthesis and growth are often limited by the activity of the CO2-fixing enzyme Rubisco. The broad kinetic diversity of Rubisco in nature is accompanied by differences in the composition and compatibility of the ancillary proteins needed for its folding, assembly, and metabolic regulation. Variations in the protein folding needs of catalytically efficient red algae Rubisco prevent their production in plants. Here, we show this impediment does not extend to Rubisco from Rhodobacter sphaeroides (RsRubisco)-a red-type Rubisco able to assemble in plant chloroplasts. In transplastomic tobRsLS lines expressing a codon optimized Rs-rbcLS operon, the messenger RNA (mRNA) abundance was ∼25% of rbcL transcript and RsRubisco ∼40% the Rubisco content in WT tobacco. To mitigate the low activation status of RsRubisco in tobRsLS (∼23% sites active under ambient CO2), the metabolic repair protein RsRca (Rs-activase) was introduced via nuclear transformation. RsRca production in the tobRsLS::X progeny matched endogenous tobacco Rca levels (∼1 µmol protomer·m2) and enhanced RsRubisco activation to 75% under elevated CO2 (1%, vol/vol) growth. Accordingly, the rate of photosynthesis and growth in the tobRsLS::X lines were improved >twofold relative to tobRsLS. Other tobacco lines producing RsRubisco containing alternate diatom and red algae S-subunits were nonviable as CO2-fixation rates (kcatc) were reduced >95% and CO2/O2 specificity impaired 30-50%. We show differences in hybrid and WT RsRubisco biogenesis in tobacco correlated with assembly in Escherichia coli advocating use of this bacterium to preevaluate the kinetic and chloroplast compatibility of engineered RsRubisco, an isoform amenable to directed evolution.

Published
2020
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15. Stress Management of Student Practice Teaching of Bachelor of Secondary Education at Bagumbong High School Caloocan City

Author

Zapata Jr., Sandro, Vallez, Charmaine, Castaneda, Clairebe Joy, Dalagdon, Analie, Avila, Elena Marie, Ablen,Ph.D., Amelia, Zapata Jr., Sandro, Vallez, Charmaine, Castaneda, Clairebe Joy, Dalagdon, Analie, Avila, Elena Marie, and Ablen,Ph.D., Amelia

Abstract

The 21st-century teachers and students now face different kinds of stress that can already affect their performance and functionality as an individual. Teaching becoming more challenging as a profession, and it is known as the noblest profession in the world. Schools are also an extremely important organization in our society. In teaching, there are tough times; teachers face difficult challenges and new opportunities in teaching 21st-century students. As a teacher, we face expectations of the school and our co-teachers. The conditions and characteristics tell those stressful situations build up not only inside but also outside the school. 21st-century students also facing different kinds of challenges that can affect their academic performance and one of these is stress. If the student is also a teacher, a Student Practice Teaching (SPT) conducting his/her teaching at a school that is surrounded by different stressors. Stress is an extremely serious problem if it crosses its limits. Hence, we need to use different methods, strategies, and treatments to manage stress. The descriptive method was applied here to select 30 students to practice teaching, with 17 females and 13 males. The majority of the respondents are within the age bracket of 19–24. survey and unstructured interviews were conducted to determine the causes and effects of stress on the respondents. Based on the data gathered, the majority of the respondents are female (57%). The main causes of stress to the respondents were personal, family, physical, and academic stressors. The top stressors with the interpretation of “high effect” were being underweight or malnourished with a weighted mean of 3.66, traumatic event with a weighted mean of 3.5, and serious illness in the family with a weighted mean of 3.5. The respondents’ solutions to minimize stress was having an open and positive attitude toward any circumstance; taking extra time to think; eating a healthy, well-balanced, and nutritious diet; and ge

Published
2020

16. Stress Management of Student Practice Teaching of Bachelor of Secondary Education at Bagumbong High School Caloocan City

Author

Zapata Jr., Sandro, Vallez, Charmaine, Castaneda, Clairebe Joy, Dalagdon, Analie, Avila, Elena Marie, Ablen,Ph.D., Amelia, Zapata Jr., Sandro, Vallez, Charmaine, Castaneda, Clairebe Joy, Dalagdon, Analie, Avila, Elena Marie, and Ablen,Ph.D., Amelia

Abstract

The 21st-century teachers and students now face different kinds of stress that can already affect their performance and functionality as an individual. Teaching becoming more challenging as a profession, and it is known as the noblest profession in the world. Schools are also an extremely important organization in our society. In teaching, there are tough times; teachers face difficult challenges and new opportunities in teaching 21st-century students. As a teacher, we face expectations of the school and our co-teachers. The conditions and characteristics tell those stressful situations build up not only inside but also outside the school. 21st-century students also facing different kinds of challenges that can affect their academic performance and one of these is stress. If the student is also a teacher, a Student Practice Teaching (SPT) conducting his/her teaching at a school that is surrounded by different stressors. Stress is an extremely serious problem if it crosses its limits. Hence, we need to use different methods, strategies, and treatments to manage stress. The descriptive method was applied here to select 30 students to practice teaching, with 17 females and 13 males. The majority of the respondents are within the age bracket of 19–24. survey and unstructured interviews were conducted to determine the causes and effects of stress on the respondents. Based on the data gathered, the majority of the respondents are female (57%). The main causes of stress to the respondents were personal, family, physical, and academic stressors. The top stressors with the interpretation of “high effect” were being underweight or malnourished with a weighted mean of 3.66, traumatic event with a weighted mean of 3.5, and serious illness in the family with a weighted mean of 3.5. The respondents’ solutions to minimize stress was having an open and positive attitude toward any circumstance; taking extra time to think; eating a healthy, well-balanced, and nutritious diet; and ge

Published
2020

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