activity
20202026
most citedRecent developments in the PySCF program package

1.2k citations · 1.4k across the 10 of their papers we have counts for

collaborators

11 papers

physics.chem-ph2026★ 1 cited

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-ph2024

General Quantum Alchemical Free Energy Simulations via Hamiltonian Interpolation

Chenghan Li, Xing Zhang, Garnet Kin-Lic Chan

We present an implementation of alchemical free energy simulations at the quantum mechanical level by directly interpolating the electronic Hamiltonian. The method is compatible wi…

physics.comp-ph2024★ 4 cited

Introducing GPU-acceleration into the Python-based Simulations of Chemistry Framework

Rui Li, Qiming Sun, Xing Zhang +1

We introduce the first version of GPU4PySCF, a module that provides GPU acceleration of methods in PySCF. As a core functionality, this provides a GPU implementation of two-electro…

physics.chem-ph2024★ 8 cited

Performant Automatic Differentiation of Local Coupled Cluster Theories: Response Properties and Ab Initio Molecular Dynamics

Xing Zhang, Chenghan Li, Hong-Zhou Ye +2

In this work, we introduce a differentiable implementation of the local natural orbital coupled cluster (LNOCC) method within the automatic differentiation framework of the PySCFAD…

quant-ph2023

Fermionic reduced density low-rank matrix completion, noise filtering, and measurement reduction in quantum simulations

Linqing Peng, Xing Zhang, Garnet Kin-Lic Chan

Fermionic reduced density matrices summarize the key observables in fermionic systems. In electronic systems, the two-particle reduced density matrix (2-RDM) is sufficient to deter…

cond-mat.supr-con2023★ 20 cited

Ab initio quantum many-body description of superconducting trends in the cuprates

Zhi-Hao Cui, Junjie Yang, Johannes Tölle +9

Using a systematic ab initio quantum many-body approach that goes beyond low-energy models, we directly compute the superconducting pairing order and estimate the pairing gap of se…

physics.chem-ph2022★ 18 cited

Multi-site Reaction Dynamics Through Multi-fragment Density Matrix Embedding

Chenghan Li, Junjie Yang, Xing Zhang +1

The practical description of disordered chemical reactions, where reactions involve multiple species at multiple sites, is presently challenge using correlated electronic structure…

physics.chem-ph2022★ 43 cited

Differentiable quantum chemistry with PySCF for molecules and materials at the mean-field level and beyond

Xing Zhang, Garnet Kin-Lic Chan

We introduce an extension to the PySCF package which makes it automatically differentiable. The implementation strategy is discussed, and example applications are presented to demo…

cond-mat.supr-con2021★ 72 cited

Systematic electronic structure in the cuprate parent state from quantum many-body simulations

Zhi-Hao Cui, Huanchen Zhai, Xing Zhang +1

The quantitative description of correlated electron materials remains a modern computational challenge. We demonstrate a numerical strategy to simulate correlated materials at the…

physics.chem-ph2021

Quantum harmonic free energies for biomolecules and nanomaterials

Alec F. White, Chenghan Li, Xing Zhang +1

Obtaining the free energy of large molecules from quantum mechanical energy functions is a longstanding challenge. We describe a method that allows us to estimate, at the quantum m…

physics.chem-ph2020★ 1.2k cited

Recent developments in the PySCF program package

Qiming Sun, Xing Zhang, Samragni Banerjee +46

PYSCF is a Python-based general-purpose electronic structure platform that both supports first-principles simulations of molecules and solids, as well as accelerates the developmen…