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20222026
most citedInteratomic force from neural network based variational quantum Monte Carlo

20 citations · 46 across the 8 of their papers we have counts for

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physics.chem-ph2026

The Python Simulations of Chemistry Framework: 10 years of an open-source quantum chemistry project

Qiming Sun, Matthew R Hermes, Xiaojie Wu +100

Over the past decade, the Python-based Simulations of Chemistry Framework (PySCF) has developed into a widely used open-source platform for electronic structure theory and quantum…

physics.chem-ph2026

Permutation invariant multi-scale full quantum neural network wavefunction

Pengzhen Cai, Yubing Qian, Li Deng +8

Solving the intricate quantum behavior of interacting particles is key to unlocking the mysteries of condensed matter, but capturing their complex correlations across different sca…

physics.chem-ph2024★ 6 cited

Deep learning quantum Monte Carlo for solids

Yubing Qian, Xiang Li, Zhe Li +2

Deep learning has deeply changed the paradigms of many research fields. At the heart of chemical and physical sciences is the accurate ab initio calculation of many-body wavefuncti…

physics.chem-ph2023★ 9 cited

Electric Polarization from Many-Body Neural Network Ansatz

Xiang Li, Yubing Qian, Ji Chen

Ab initio calculation of dielectric response with high-accuracy electronic structure methods is a long-standing problem, for which mean-field approaches are widely used and electro…

physics.chem-ph2022★ 20 cited

Interatomic force from neural network based variational quantum Monte Carlo

Yubing Qian, Weizhong Fu, Weiluo Ren +1

Accurate ab initio calculations are of fundamental importance in physics, chemistry, biology, and materials science, which have witnessed rapid development in the last couple of ye…