Machine-learned approximations to Density Functional Theory Hamiltonians
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/srep42669.pdf
Reference34 articles.
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4. Hegde, G., Povolotskyi, M., Kubis, T., Boykin, T. & Klimeck, G. An environment-dependent semi-empirical tight binding model suitable for electron transport in bulk metals, metal alloys, metallic interfaces, and metallic nanostructures. i. model and validation. Journal of Applied Physics 115 (2014).
5. Friedman, J., Hastie, T. & Tibshirani, R. The elements of statistical learning vol. 1 (Springer series in statistics Springer, Berlin, 2001).
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