20 citations · 22 across the 8 of their papers we have counts for
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physics.comp-ph2026
Towards stable and accurate electron dynamics via neural network based time-dependent variational Monte Carlo
Weizhong Fu, Zhe Li, Yubing Qian +3
Real-time dynamics of interacting electrons lies at the interface between quantum mechanics and non-equilibrium physics, governing the microscopic origin of ultrafast phenomena of…
physics.comp-ph2023★ 1 cited
Penalty and auxiliary wave function methods for electronic Excitation in neural network variational Monte Carlo
Zixiang Lu, Weizhong Fu
This study explores the application of neural network variational Monte Carlo (NN-VMC) for the computation of low-lying excited states in molecular systems. Our focus lies on the i…
physics.comp-ph2023★ 1 cited
Variance extrapolation method for neural-network variational Monte Carlo
Weizhong Fu, Weiluo Ren, Ji Chen
Constructing more expressive ansatz has been a primary focus for quantum Monte Carlo, aimed at more accurate \textit{ab initio} calculations. However, with more powerful ansatz, e.…