Siemenn, Alexander E. http://orcid.org/0000-0001-8841-7887
Ren, Zekun http://orcid.org/0000-0002-6987-1715
Li, Qianxiao
Buonassisi, Tonio
Funding for this research was provided by:
U.S. Department of Energy (DE-EE0009366)
Article History
Received: 26 August 2022
Accepted: 12 May 2023
First Online: 26 May 2023
Competing interests
: Although our laboratory has IP filed covering photovoltaic technologies and materials informatics broadly, we do not envision a direct COI with this study, the content of which is open-sourced. Two of the authors (Z.R. and T.B.) own equity in Xinterra Pte Ltd, which applies machine learning to accelerate novel materials development.