activity
20102026
most citedRecent developments in the PySCF program package

1.2k citations · 1.6k across the 10 of their papers we have counts for

collaborators

11 papers

physics.chem-ph2026

Learning to Rank for Selected Configuration Interaction

Wan Nie, Songwei Liu, Yingying Yu +2

The accurate description of electron correlation is a central challenge in computational chemistry, with selected configuration interaction (SCI) emerging as a powerful tool to app…

physics.chem-ph2026

Multi-GPU MBE(3)-OSV-MP2 for Performant Large-Scale ab initio Calculations

Qiujiang Liang, Jun Yang

The computational acceleration of orbital-invariant local correlation methods on graphics processing units (GPUs) has remained largely unexplored due to substantial algorithmic com…

physics.chem-ph2024

Polarizable Water Model with Ab Initio Neural Network Dynamic Charges and Spontaneous Charge Transfer

Qiujiang Liang, Jun Yang

Simulating water accurately has been a challenge due to the complexity of describing polarization and intermolecular charge transfer. Quantum mechanical (QM) electronic structures…

physics.chem-ph2023★ 11 cited

Low-data deep quantum chemical learning for accurate MP2 and coupled-cluster correlations

Wai-Pan Ng, Qiujiang Liang, Jun Yang

Accurate ab-initio prediction of electronic energies is very expensive for macromolecules by explicitly solving post-Hartree-Fock equations. We here exploit the physically justifie…

physics.chem-ph2022

Downfolded Configuration Interaction for Chemically Accurate Electron Correlation

Jiasheng Li, Jun Yang

A model subspace configuration interaction method is developed to obtain chemically accurate electron correlations by diagonalising a very compact effective Hamiltonian of realisti…

physics.chem-ph2021

Third-order many-body expansion of OSV-MP2 wavefunction for low-order scaling analytical gradient computation

Qiujiang Liang, Jun Yang

We present a many-body expansion (MBE) formulation and implementation for efficient computation of analytical energy gradients from OSV-MP2 theory based on our earlier work (Zhou e…

physics.chem-ph2021★ 3 cited

Nucleus-electron correlation revising molecular bonding fingerprints from the exact wavefunction factorization

Ziyong Chen, Jun Yang

We present a novel theory and implementation for computing coupled electronic and quantal nuclear subsystems on a single potential energy surface, moving beyond the standard Born-O…

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…

physics.chem-ph2019★ 17 cited

A complete OSV-MP2 analytical gradient theory for molecular structure and dynamics simulations

Ruiyi Zhou, Qiujiang Liang, Jun Yang

We propose an exact algorithm for computing the analytical gradient within the framework of the orbital-specific-virtual (OSV) second-order Møller-Plesset (MP2) theory in resolutio…

physics.chem-ph2016★ 138 cited

A general second order complete active space self-consistent-field solver for large-scale systems

Qiming Sun, Jun Yang, Garnet Kin-Lic Chan

We present a new second order complete active space self-consistent field implementation to converge wavefunctions for both large active spaces and large atomic orbital (AO) bases.…

physics.comp-ph2010★ 183 cited

Tensor factorizations of local second-order Møller Plesset theory

Jun Yang, Yuki Kurashige, Frederick R. Manby +1

Efficient electronic structure methods can be built around efficient tensor representations of the wavefunction. Here we describe a general view of tensor factorization for the com…