21 citations · 41 across the 6 of their papers we have counts for
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physics.comp-ph2024★ 19 cited
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions
Gil Goldshlager, Nilin Abrahamsen, Lin Lin
Neural network wavefunctions optimized using the variational Monte Carlo method have been shown to produce highly accurate results for the electronic structure of atoms and small m…
physics.comp-ph2021★ 21 cited
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation
Jeffmin Lin, Gil Goldshlager, Lin Lin
The combination of neural networks and quantum Monte Carlo methods has arisen as a path forward for highly accurate electronic structure calculations. Previous proposals have combi…