most citedEnhancing GPU-acceleration in the Python-based Simulations of Chemistry Framework

11 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

THEMol dataset: Torsion, Hessian, and Energy of Molecules

Jiashu Liang, Tianze Zheng, Yu Xia +13

We present THEMol (Torsion, Hessian, Energy of Molecules), a massive open-source collection of quantum mechanical properties tailored for closed-shell organic molecules, with up to…

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…

cs.LG2024

Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space Coverage

Tianze Zheng, Ailun Wang, Xu Han +9

A force field is a critical component in molecular dynamics simulations for computational drug discovery. It must achieve high accuracy within the constraints of molecular mechanic…

physics.comp-ph2024★ 11 cited

Enhancing GPU-acceleration in the Python-based Simulations of Chemistry Framework

Xiaojie Wu, Qiming Sun, Zhichen Pu +11

We describe our contribution as industrial stakeholders to the existing open-source GPU4PySCF project (https: //github.com/pyscf/gpu4pyscf), a GPU-accelerated Python quantum chemis…

cond-mat.mtrl-sci2024★ 8 cited

A predictive machine learning force field framework for liquid electrolyte development

Sheng Gong, Yumin Zhang, Zhenliang Mu +13

Despite the widespread applications of machine learning force fields (MLFF) in solids and small molecules, there is a notable gap in applying MLFF to simulate liquid electrolyte, a…