JARVIS-DFT: High-throughput identification and characterization of two-dimensional, solar-cell, topological and high-performance materials using quantum density functional theory. Link: http://www.ctcms.nist.gov/~knc6/JVASP.html
JARVIS-ML: Classical force-field inspired descriptors (CFID) for materials, active learning, combining experiments with computational data. Link: https://www.ctcms.nist.gov/jarvisml
Development of classical force-fields using charge-optimized many body formalism and Neural-network.
Implementation of Artificial Intelligence (AI) tools in Materials Science and Engineering.