Machine Learning Enables Prediction of Halide Perovskites’ Optical Behavior with >90% Accuracy

Subjects

Subjects :

Fuel Technology
Renewable Energy, Sustainability and the Environment
Chemistry (miscellaneous)
Materials Chemistry
Energy Engineering and Power Technology

Details

ISSN :

23808195

Volume :

8

Database :

OpenAIRE

Journal :

ACS Energy Letters

Accession number :

edsair.doi...........faf3e7bcf1349eb8e65bc9a41706495b

Full Text :

https://doi.org/10.1021/acsenergylett.2c02555