band gap regression
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in band gap regression
Most implemented papers
Deep-Learning Estimation of Band Gap with the Reading-Periodic-Table Method and Periodic Convolution Layer
Deep Learning Model for Finding New Superconductors, which utilizes deep learning to read the periodic table and the laws of the elements, is applicable not only for superconductors, for which the method was originally applied but also for other problems of materials by demonstrating band gap estimations.
Band-gap regression with architecture-optimized message-passing neural networks
The domain of applicability of the ensemble model is analyzed with respect to the crystal systems, the inclusion of a Hubbard parameter in the density functional calculations, and the atomic species building up the materials.
