Predicting the Band Gaps of Inorganic Solids by Machine Learning.

By Ya Zhuo, Aria Mansouri Tehrani, Jakoah Brgoch. Journal of Physical Chemistry Letters, 2018

409 citations recorded by the source corpus.

Subfields: Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/24636a3ee6b9fdfed2c4eb1643d8e1b39665f06d

Citations in the corpus

• Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning (2020, neutral): “58 .”