collaborators

10 papers

cond-mat.mtrl-sci2026

Intrinsic Wannier Functions for Hamiltonian downfolding

Shuoxue Li, Garnet Kin-Lic Chan

Downfolding ab initio material band structure into a low-energy subspace spanned by orbitals of specified atomic character, a procedure known as Wannier downfolding, is a common ta…

physics.chem-ph2026

Classical computational simulation of the FeMo-cofactor model to chemical accuracy and its implications

Huanchen Zhai, Chenghan Li, Xing Zhang +3

We use classical computational methods to estimate the ground-state energy to chemical accuracy in a model of the FeMo-cofactor of nitrogenase which is widely studied as a target o…

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

Implementation of the multigrid Gaussian-Plane-Wave algorithm with GPU acceleration in PySCF

Rui Li, Xing Zhang, Qiming Sun +3

We introduce a GPU-accelerated multigrid Gaussian-Plane-Wave density fitting (FFTDF) approach for efficient Fock builds and nuclear gradient evaluations within Kohn-Sham density fu…

physics.chem-ph2025

Accurate crystal field Hamiltonians of single-ion magnets at mean-field cost

Linqing Peng, Shuanglong Liu, Xing Zhang +4

The effective crystal field Hamiltonian provides the key description of the electronic properties of single-ion magnets, but obtaining its parameters from ab initio computation is…

physics.chem-ph2025

Predictive Free Energy Simulations Through Hierarchical Distillation of Quantum Hamiltonians

Chenghan Li, Garnet Kin-Lic Chan

Obtaining the free energies of condensed phase chemical reactions remains computationally prohibitive for high-level quantum mechanical methods. We introduce a hierarchical machine…