Machine learning bandgaps of double perovskites

  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},
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

7 Figures & Tables



Citations per Year

Citation Velocity: 5

Averaging 5 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.