Resolution of the Band Gap Prediction Problem for Materials Design.
By J. Crowley, J. Tahir-Kheli, W. Goddard. 2016
295 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Materials Chemistry
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In Electrical and Electronic Engineering
In Materials Chemistry
Citations in the corpus
- Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning (2020, background): “We note nevertheless that a large number of tests and benchmarks are often conducted with similar small data sets 76,86,136 – 138 .”