The Python simulations of chemistry framework: 10 years of an open-source quantum chemistry project

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 chemical method development. This article reviews the major advances since the previous overview in 2020, covering new modules and methodology, infrastructure changes, and performance benchmarks.

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Journal
The Journal of Chemical Physics
Published
2026-09-10
DOI
https://doi.org/10.1063/5.0337441
Citations
5
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
9.19
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The Python simulations of chemistry framework: 10 years of an open-source quantum chemistry project

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The Journal of Chemical Physics
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article

The Python simulations of chemistry framework: 10 years of an open-source quantum chemistry project

Nastasia Mauger, Sebastian Ehlert, Matthew R. Hennefarth, Aniruddha Seal, Huanchen Zhai, Xiaojie Wu, Timothy C. Berkelbach, Thijs Vogels, Nikolay A. Bogdanov, Oliver J. Backhouse, Zehao Zhou, Pablo del Mazo‐Sevillano, Ardavan Farahvash, Ivan Yu. Chernyshov, Kori E. Smyser, Linqing Peng, Simon Ewing, Andrew J. Jenkins, Janus J. Eriksen, Shirong Wang, Thais R. Scott, T. F. Wang, Jan Hermann, Jonas Greiner, Stephen Jon Quiton, Shiv Upadhyay, Aleksandr O. Lykhin, Peter Pinski, Matthew R. Hermes, Christopher Hillenbrand, Ankit Mahajan, Samragni Banerjee, Joonatan Huhtasalo, Chenghan Li, Pavel Pokhilko, Juan J. Aucar, Shuhang Li, Kevin Focke, Linus Bjarne Dittmer, Frédéric Chapoton, Andrew Zhu, Abdelrahman Ahmed, Basil Ibrahim, James D. Serna, Helen Clifford, Egor Trushin, Hong-Zhou Ye, James E T Smith, Zhichen Pu, Ning-Yuan Chen, Sander Cohen-Janes, Victor Wen-zhe Yu, Haiyang Yu, Jiachen Li, Zhi-Hao Cui, Jincheng Yu, Ethan A. Vo, Qiming Sun, Xing Zhang, Kyle Bystrom, Rui Li, Hao Li, Peng Bao, Wanja T. Schulze, Francesco A. Evangelista, Terrence Stahl, Kousuke Nakano, Jonathan Moussa, Bryan Tak Gwong Lau, Yann D. Damour, Jo S. Kurian, Nathan Gillispie, Alireza Nejati Javaremi, Derk Pieter Kooi, Mark Williamson, Seunghoon Lee, Henrik R. Larsson, Yu Jin, Susi Lehtola, Dayou Zhang, Daniel S. King, Junjie Yang, Chia-Nan Yeh, Chong Sun, Kevin J. Sung, Zijun Zhao, Xiao Wang, Verena A. Neufeld, Bhavnesh Jangid, Nike Dattani, Tianyu Zhu, Hung Viet Pham, Xubo Wang, Yuanheng Wang, Yubing Qian, Chaoqun Zhang, Kevin E. Gasperich, Laura Gagliardi, Yichi Zhang, Yang Gao
article en
5 citations

Abstract

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 chemical method development. This article reviews the major advances since the previous overview in 2020, covering new modules and methodology, infrastructure changes, and performance benchmarks.

The Journal of Chemical PhysicsVol. 165(10)
Rutgers, The State University of New Jersey (US), California Institute of Technology (US), Argonne National Laboratory (US), Microsoft (United States) (US), University of Vienna (AT), University of Minnesota (US), University of Helsinki (FI), IBM (United States) (US), Bowdoin College (US), Seoul National University (KR), Johns Hopkins University (US), Emory University (US), University of California, Merced (US), Santa Clara University (US), King's College - North Carolina (US), University of Pittsburgh (US), ITMO University (RU), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), King's College London (GB), Universidad de Salamanca (ES), University of California, Santa Cruz (US), University of Colorado Boulder (US), Schiller International University (FR), University of Washington (US), Peking University (CN), Nankai University (CN), National Institute for Materials Science (JP), Heidelberg University (DE), Fudan University (CN), Johns Hopkins Medicine (US), Helsinki Institute of Physics (FI), University of Colorado System (US), Regional Municipality of Waterloo (CA), New Generation University College (ET), National University of the Northeast (AR), Yale University (US), University of Illinois Chicago (US), University of Chicago (US), Beijing Academy of Social Sciences (CN), Quark Pharmaceuticals (United States) (US), Max Planck Institute for Solid State Research (DE), Quantum Intelligence (United States) (US), Environmental and Occupational Health Sciences Institute (US), Granta Design (United Kingdom) (GB), IBM Research - Thomas J. Watson Research Center (US), Quantum Simulations (United States) (US), Beijing National Laboratory for Molecular Sciences (CN), Institut de Recherche Mathématique Avancée (FR), Clover Seed (China) (CN), Molecular Sciences Software Institute (US), Japan Coal Energy Center (JP), Flatiron Health (United States) (US), Microsoft Research (United Kingdom) (GB), The Ohio State University (US), University of Maryland, College Park (US), Friedrich Schiller University Jena (DE), Columbia University (US), Atlanta University Center (US), Texas A&M University (US), Technische Universität Braunschweig (DE), University of Memphis (US), University of California, Berkeley (US), Technical University of Denmark (DK)
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Openalex Percentile: Top 2%
Machine Learning in Materials Science
9.19
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