7 citations · 7 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2024
Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
Hao Tang, Brian Xiao, Wenhao He +6
Machine learning (ML) plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules. However, most existing ML mode…
hep-lat2022★ 7 cited
Neural-network preconditioners for solving the Dirac equation in lattice gauge theory
Salvatore Calì, Daniel C. Hackett, Yin Lin +2
This work develops neural-network--based preconditioners to accelerate solution of the Wilson-Dirac normal equation in lattice quantum field theories. The approach is implemented f…