Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials

1 code implementation • 10 Feb 2022 • Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po, Li Jing, Liang Fu, Marin Soljačić

Topological materials present unconventional electronic properties that make them attractive for both basic science and next-generation technological applications.

Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science

1 code implementation • 15 Oct 2021 • Charlotte Loh, Thomas Christensen, Rumen Dangovski, Samuel Kim, Marin Soljacic

Deep learning techniques have been increasingly applied to the natural sciences, e. g., for property prediction and optimization or material discovery.

Contrastive Learning