activity
20172026
most citedThe HANDE-QMC project: open-source stochastic quantum chemistry from the ground state up

44 citations · 145 across the 9 of their papers we have counts for

collaborators

10 papers

physics.chem-ph2026

RLEASE: Reinforcement Learning Efficient Active Space Engine

Etinosa Osaro, Abhishek Mitra, Andrew J. Jenkins +6

Selecting the active space for multireference electronic-structure calculations is a long-standing bottleneck that often requires expert chemical intuition and costly trial-and-err…

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…

cond-mat.mtrl-sci2023★ 1 cited

Highly accurate electronic structure of metallic solids from coupled-cluster theory with nonperturbative triple excitations

Verena A. Neufeld, Timothy C. Berkelbach

Coupled-cluster theory with single, double, and perturbative triple excitations (CCSD(T)) -- often considered the "gold standard" of main-group quantum chemistry -- is inapplicable…

cond-mat.mtrl-sci2022

Ground-state properties of metallic solids from ab initio coupled-cluster theory

Verena A. Neufeld, Hong-Zhou Ye, Timothy C. Berkelbach

Metallic solids are a challenging target for wavefunction-based electronic structure theories and have not been studied in great detail by such methods. Here, we use coupled-cluste…

physics.chem-ph2019★ 9 cited

Accelerating Stochastic Quantum Chemistry

Verena A. Neufeld, Alex J. W. Thom

The convergence of full configuration interaction quantum Monte Carlo (FCIQMC) is accelerated using a quasi-Newton propagation (QN) which can also be applied to coupled cluster Mon…

physics.comp-ph2019★ 1 cited

Making the most of data: Quantum Monte Carlo Post-Analysis Revisited

Tom Ichibha, Kenta Hongo, Ryo Maezono +1

In quantum Monte Carlo (QMC) methods, energy estimators are calculated as the statistical average of the Markov chain sampling of energy estimator along with an associated statisti…