Machine learning bandgaps of double perovskites

@inproceedings{Pilania2016MachineLB,
  title={Machine learning bandgaps of double perovskites},
  author={G Pilania and A. Mannodi-Kanakkithodi and Blas Pedro Uberuaga and R. Ramprasad and James E. Gubernatis and Turab Lookman},
  booktitle={Scientific reports},
  year={2016}
}
The ability to make rapid and accurate predictions on bandgaps of double perovskites is of much practical interest for a range of applications. While quantum mechanical computations for high-fidelity bandgaps are enormously computation-time intensive and thus impractical in high throughput studies, informatics-based statistical learning approaches can be a… CONTINUE READING

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