activity
20242026
most citedEnhancing GPU-acceleration in the Python-based Simulations of Chemistry Framework

11 citations · 12 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…

physics.chem-ph2026★ 1 cited

GPU Accelerated Minimal Auxiliary Basis Approach TDDFT for Large Organic Molecules

Zehao Zhou, Xiaojie Wu, Yanheng Li +5

We introduce a GPU-accelerated implementation of time-dependent density functional theory with the minimal auxiliary basis approach (TDDFT-risp) in GPU4PySCF, together with large s…

physics.chem-ph2025

Towards A Transferable Acceleration Method for Density Functional Theory

Zhe Liu, Yuyan Ni, Zhichen Pu +3

Recently, sophisticated deep learning-based approaches have been developed for generating efficient initial guesses to accelerate the convergence of density functional theory (DFT)…

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…