3 results on '"Gallego, Lucía"'
Search Results
2. Design‐to‐Device Approach Affords Panchromatic Co‐Sensitized Solar Cells.
- Author
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Cooper, Christopher B., Beard, Edward J., Vázquez‐Mayagoitia, Álvaro, Stan, Liliana, Stenning, Gavin B. G., Nye, Daniel W., Vigil, Julian A., Tomar, Tina, Jia, Jingwen, Bodedla, Govardhana B., Chen, Song, Gallego, Lucía, Franco, Santiago, Carella, Antonio, Thomas, K. R. Justin, Xue, Song, Zhu, Xunjin, and Cole, Jacqueline M.
- Subjects
DYE-sensitized solar cells ,CHEMISTRY experiments ,PHOTOVOLTAIC power systems ,MATHEMATICAL combinations ,CLUSTERING of particles - Abstract
Data‐driven materials discovery has become increasingly important in identifying materials that exhibit specific, desirable properties from a vast chemical search space. Synergic prediction and experimental validation are needed to accelerate scientific advances related to critical societal applications. A design‐to‐device study that uses high‐throughput screens with algorithmic encodings of structure–property relationships is reported to identify new materials with panchromatic optical absorption, whose photovoltaic device applications are then experimentally verified. The data‐mining methods source 9431 dye candidates, which are auto‐generated from the literature using a custom text‐mining tool. These candidates are sifted via a data‐mining workflow that is tailored to identify optimal combinations of organic dyes that have complementary optical absorption properties such that they can harvest all available sunlight when acting as co‐sensitizers for dye‐sensitized solar cells (DSSCs). Six promising dye combinations are shortlisted for device testing, whereupon one dye combination yields co‐sensitized DSSCs with power conversion efficiencies comparable to those of the high‐performance, organometallic dye, N719. These results demonstrate how data‐driven molecular engineering can accelerate materials discovery for panchromatic photovoltaic or other applications. A design‐to‐device study, based on algorithmic encodings of structure–property relationships, is used to identify new materials with panchromatic optical absorption. 9431 dyes are mined from the literature and optimally paired together to afford co‐sensitizing dyes with complementary optical absorption properties. Promising combinations are experimentally verified in dye‐sensitized solar cells and novel methods for characterizing dye aggregation in co‐sensitized devices are presented. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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3. Design-to-device approach affords panchromatic co-sensitized solar cells
- Author
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Jacqueline M. Cole, Xunjin Zhu, Liliana Stan, Jingwen Jia, Julian A. Vigil, Edward J. Beard, Govardhana Babu Bodedla, K. R. Justin Thomas, Santiago Franco, Daniel W. Nye, Christopher B. Cooper, Song Chen, Antonio Carella, Tina Tomar, Lucía Gallego, Gavin B. G. Stenning, Álvaro Vázquez-Mayagoitia, Song Xue, Winston Churchill Foundation of the USA, Ministerio de Economía y Competitividad (España), Gobierno de Aragón, European Commission, Research Grants Council (Hong Kong), Hong Kong Baptist University, Argonne National Laboratory (US), Department of Energy (US), Cooper, Christopher B., Beard, Edward J., Vázquez-Mayagoitia, Álvaro, Stan, Liliana, Stenning, Gavin B. G., Nye, Daniel W., Vigil, Julian A., Tomar, Tina, Jia, Jingwen, Bodedla, Govardhana B., Chen, Song, Gallego, Lucía, Franco, Santiago, Carella, Antonio, Thomas, K. R. Justin, Xue, Song, Zhu, Xunjin, and Cole, Jacqueline M.
- Subjects
Materials science ,data-mining ,Renewable Energy, Sustainability and the Environment ,media_common.quotation_subject ,Library science ,Co sensitization ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,Royal Commission ,Exhibition ,Excellence ,dye-sensitized solar cell ,General Materials Science ,Materials Science (all) ,0210 nano-technology ,National laboratory ,co-sensitization ,photovoltaic device ,media_common ,materials discovery - Abstract
Data‐driven materials discovery has become increasingly important in identifying materials that exhibit specific, desirable properties from a vast chemical search space. Synergic prediction and experimental validation are needed to accelerate scientific advances related to critical societal applications. A design‐to‐device study that uses high‐throughput screens with algorithmic encodings of structure–property relationships is reported to identify new materials with panchromatic optical absorption, whose photovoltaic device applications are then experimentally verified. The data‐mining methods source 9431 dye candidates, which are auto‐generated from the literature using a custom text‐mining tool. These candidates are sifted via a data‐mining workflow that is tailored to identify optimal combinations of organic dyes that have complementary optical absorption properties such that they can harvest all available sunlight when acting as co‐sensitizers for dye‐sensitized solar cells (DSSCs). Six promising dye combinations are shortlisted for device testing, whereupon one dye combination yields co‐sensitized DSSCs with power conversion efficiencies comparable to those of the high‐performance, organometallic dye, N719. These results demonstrate how data‐driven molecular engineering can accelerate materials discovery for panchromatic photovoltaic or other applications., C.B.C. and J.A.V. gratefully acknowledge funding from the Winston Churchill Foundation of the United States. S.F. acknowledges financial support from MINECO (CTQ2014‐52331‐R) and the Gobierno de Aragón‐FEDER‐Fondo Social Europeo 2014‐2020 (E14_17R). X.Z. acknowledges support from the Hong Kong Research Grants Council (HKBU22304115‐ECS and C5015‐15GF), Areas of Excellence Scheme ([AoE/P‐03/08]), and the Hong Kong Baptist University (RC‐ICRS/15‐16/02E, RC‐ICRS/1617/02C‐CHE, and RC‐IRMS/16/17/02CHEM). J.M.C. thanks the 1851 Royal Commission of the Great Exhibition for the 2014 Fellowship in Design, hosted by Argonne National Laboratory where work was done supported by DOE Office of Science, Office of Basic Energy Sciences, and research resources from the Center of Nanoscale Materials and the Argonne Leadership Computing Facility, which are DOE Office of Science Facilities, all under contract no. DE‐AC02‐06CH11357.
- Published
- 2019
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