Cite
High-Throughput Prediction of the Thermal and Electronic Transport Properties of Large Physical and Chemical Spaces Accelerated by Machine Learning: Charting the ZT of Binary Skutterudites
MLA
Universidad de Sevilla. Departamento de Química Física, et al. High-Throughput Prediction of the Thermal and Electronic Transport Properties of Large Physical and Chemical Spaces Accelerated by Machine Learning: Charting the ZT of Binary Skutterudites. 2024. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1442718143&authtype=sso&custid=ns315887.
APA
Universidad de Sevilla. Departamento de Química Física, Ministerio de Ciencia e Innovación (MICIN). España, Red Española de Supercomputación (RES), Santana Andreo, J., Márquez Cruz, A. M., Plata Ramos, J. J., Blancas, E. J., González Sánchez, J. L., Fernández Sanz, J., & Nath, P. (2024). High-Throughput Prediction of the Thermal and Electronic Transport Properties of Large Physical and Chemical Spaces Accelerated by Machine Learning: Charting the ZT of Binary Skutterudites.
Chicago
Universidad de Sevilla. Departamento de Química Física, Ministerio de Ciencia e Innovación (MICIN). España, Red Española de Supercomputación (RES), Julia Santana Andreo, Antonio Marcial Márquez Cruz, José Javier Plata Ramos, Ernesto J. Blancas, José Luis González Sánchez, Javier Fernández Sanz, and Pinku Nath. 2024. “High-Throughput Prediction of the Thermal and Electronic Transport Properties of Large Physical and Chemical Spaces Accelerated by Machine Learning: Charting the ZT of Binary Skutterudites.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1442718143&authtype=sso&custid=ns315887.