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PSI4 1.4: Open-source software for high-throughput quantum chemistry

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Last modified
  • 05/22/2025
Type of Material
Authors
    Daniel GA Smith, Molecular Sciences Software InstituteLori A Burns, Georgia Institute of TechnologyAndrew C Simmonett, National Heart, Lung and Blood InstituteRobert M Parrish, Georgia Institute of TechnologyMatthew C Schieber, Georgia Institute of TechnologyRaimondas Galvelis, Acellera LabsPeter Kraus, Curtin UniversityHolger Kruse, Czech Academy of SciencesRoberto Di Remigio, The Arctic University of NorwayAsem Alenaizan, Georgia Institute of TechnologyAndrew M James, Virginia TechSusi Lehtola, University of HelsinkiJonathan P Misiewicz, University of GeorgiaMaximilian Scheurer, Heidelberg UniversityRobert A Shaw, RMIT UniversityJeffrey B Schriber, Georgia Institute of TechnologyYi Xie, Georgia Institute of TechnologyZachary L Glick, Georgia Institute of TechnologyDominic A Sirianni, Georgia Institute of TechnologyJoseph S O'Brien, Georgia Institute of TechnologyJonathan M Waldrop, Auburn UniversityAshutosh Kumar, Virginia TechEdward G Hohenstein, Stanford PULSE InstBenjamin P Pritchard, Molecular Sciences Software InstituteBernard R Brooks, National Heart, Lung and Blood InstituteHenry F Schaefer, University of GeorgiaAlexander Y Sokolov, Ohio State UniversityKonrad Patkowski, Auburn UniversityEugene A DePrince, Florida State UniversityUğur Bozkaya, Hacettepe UniversityRollin A King, Bethel University, St. PaulFrancesco Evangelista, Emory UniversityJustin M Turney, University of GeorgiaDaniel T Crawford, Molecular Sciences Software InstituteDavid Sherrill, Georgia Institute of Technology
Language
  • English
Date
  • 2020-05-14
Publisher
  • AMER INST PHYSICS
Publication Version
Copyright Statement
  • © 2020 Author(s)
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 152
Issue
  • 18
Start Page
  • 184108
End Page
  • 184108
Grant/Funding Information
  • Several of the co-authors were supported in their development of psi4 and affiliated projects by the U.S. National Science Foundation through Grant Nos. CHE-1351978, ACI-1449723, CHE-1566192, ACI-1609842, CHE-1661604, CHE-1554354, CHE-1504217 ACI-1547580, and CHE-1900420; by the U.S. Department of Energy through Grant Nos. DE-SC0018412 and DE-SC0016004; by the Office of Basic Energy Sciences Computational Chemical Sciences (CCS) Research Program through Grant No. AL-18-380-057; and by the Exascale Computing Project through Grant No. 17-SC-20-SC, a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. U.B. acknowledges support from the Scientific and Technological Research Council of Turkey (Grant Nos. TUBITAK-114Z786, TUBITAK-116Z506, and TUBITAK-118Z916) and the European Cooperation in Science and Technology (Grant No. CM1405). The work at the National Institutes of Health was supported by the intramural research program of the National Heart, Lung, and Blood Institute. T.D.C. and The Molecular Sciences Software Institute acknowledge the Advanced Research Computing at Virginia Tech for providing computational resources and technical support. H.K. was supported by the SYMBIT project (Reg. No. CZ.02.1.01/0.0/0.0/15_003/0000477) financed by the ERDF. S.L. was supported by the Academy of Finland (Suomen Akatemia) through Project No. 311149. R.D.R. acknowledges partial support by the Research Council of Norway through its Centres of Excellence scheme, Project No. 262695, and through its Mobility Grant scheme, Project No. 261873. P.K. acknowledges support of the Forrest Research Foundation and the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. D.G.A.S. also acknowledges the Open Force Field Consortium and Initiative for financial and scientific support.
Abstract
  • PSI4 is a free and open-source ab initio electronic structure program providing implementations of Hartree-Fock, density functional theory, many-body perturbation theory, configuration interaction, density cumulant theory, symmetry-adapted perturbation theory, and coupled-cluster theory. Most of the methods are quite efficient, thanks to density fitting and multi-core parallelism. The program is a hybrid of C++ and Python, and calculations may be run with very simple text files or using the Python API, facilitating post-processing and complex workflows; method developers also have access to most of PSI4's core functionalities via Python. Job specification may be passed using The Molecular Sciences Software Institute (MolSSI) QCSCHEMA data format, facilitating interoperability. A rewrite of our top-level computation driver, and concomitant adoption of the MolSSI QCARCHIVE INFRASTRUCTURE project, makes the latest version of PSI4 well suited to distributed computation of large numbers of independent tasks. The project has fostered the development of independent software components that may be reused in other quantum chemistry programs.
Author Notes
Keywords
Research Categories
  • Chemistry, Biochemistry

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