11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.AR2026
A Survey of Neural Network Variational Monte Carlo from a Computing Workload Characterization Perspective
Zhengze Xiao, Xuanzhe Ding, Yuyang Lou +2
Neural Network Variational Monte Carlo (NNVMC) has emerged as a promising paradigm for solving quantum many-body problems by combining variational Monte Carlo with expressive neura…
physics.chem-ph2025
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
Adam Foster, Zeno Schätzle, P. Bernát Szabó +7
Reliable description of bond breaking remains a major challenge for quantum chemistry due to the multireferential character of the electronic structure in dissociating species. Mul…
physics.chem-ph2024★ 11 cited
Highly Accurate Real-space Electron Densities with Neural Networks
Lixue Cheng, P. Bernát Szabó, Zeno Schätzle +7
Variational ab-initio methods in quantum chemistry stand out among other methods in providing direct access to the wave function. This allows in principle straightforward extractio…