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Recent developments in the PySCF program package.

Authors :
Sun, Qiming
Zhang, Xing
Banerjee, Samragni
Bao, Peng
Barbry, Marc
Blunt, Nick S.
Bogdanov, Nikolay A.
Booth, George H.
Chen, Jia
Cui, Zhi-Hao
Eriksen, Janus J.
Gao, Yang
Guo, Sheng
Hermann, Jan
Hermes, Matthew R.
Koh, Kevin
Koval, Peter
Lehtola, Susi
Li, Zhendong
Liu, Junzi
Source :
Journal of Chemical Physics. 7/14/2020, Vol. 153 Issue 2, p1-20. 20p. 3 Diagrams, 11 Charts, 6 Graphs.
Publication Year :
2020

Abstract

PySCF is a Python-based general-purpose electronic structure platform that supports first-principles simulations of molecules and solids as well as accelerates the development of new methodology and complex computational workflows. This paper explains the design and philosophy behind PySCF that enables it to meet these twin objectives. With several case studies, we show how users can easily implement their own methods using PySCF as a development environment. We then summarize the capabilities of PySCF for molecular and solid-state simulations. Finally, we describe the growing ecosystem of projects that use PySCF across the domains of quantum chemistry, materials science, machine learning, and quantum information science. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00219606
Volume :
153
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Chemical Physics
Publication Type :
Academic Journal
Accession number :
144565129
Full Text :
https://doi.org/10.1063/5.0006074