4.7 Article

PSI4 1.1: An Open-Source Electronic Structure Program Emphasizing Automation, Advanced Libraries, and Interoperability

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 13, 期 7, 页码 3185-3197

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.7b00174

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资金

  1. U.S. National Science Foundation [ACI-1147843, CHE-1300497, CHE-1351978, CHE-1361178, ACI-1449723, ACI-1450169, ACI-1465149, CHE-1566192, ACI-1609842]
  2. U.S. Department of Energy [DE-SC0015512, DE-SC0016004]
  3. U.S. Department of Defense through an HPCMP Applications Software Initiative (HASI) grant
  4. Scientific and Technological Research Council of Turkey [TUBITAK-114Z786]
  5. European Cooperation in Science and Technology [CM1405]
  6. Research Council of Norway through a Centre of Excellence Grant [179568/V30]
  7. Swiss NSF [P2ELP2_155351]
  8. U.S. Department of Energy (DOE) [DE-SC0015512] Funding Source: U.S. Department of Energy (DOE)
  9. Swiss National Science Foundation (SNF) [P2ELP2_155351] Funding Source: Swiss National Science Foundation (SNF)
  10. Direct For Computer & Info Scie & Enginr
  11. Office of Advanced Cyberinfrastructure (OAC) [1449723, 1147843] Funding Source: National Science Foundation
  12. Division Of Chemistry
  13. Direct For Mathematical & Physical Scien [1465149, 1351978] Funding Source: National Science Foundation
  14. Division Of Chemistry
  15. Direct For Mathematical & Physical Scien [1566192] Funding Source: National Science Foundation
  16. Office of Advanced Cyberinfrastructure (OAC)
  17. Direct For Computer & Info Scie & Enginr [1609842] Funding Source: National Science Foundation

向作者/读者索取更多资源

PSI4 is an ab initio electronic structure program providing methods such as Hartree Fock, density functional theory, configuration interaction, and coupled-cluster theory. The 1.1 release represents a major update meant to automate complex tasks, such as geometry optimization using complete basis-set extrapolation or focal-point methods. Conversion of the top-level code to a Python module means that PRI-can now be used in complex workflows alongside other Python tools. Several new features have been added with the aid of libraries providing easy access to techniques such as density fitting, Cholesky decomposition, and Laplace denominators. The build system has been completely rewritten to simplify interoperability with independent, reusable software components for quantum chemistry. Finally, a wide range of new theoretical methods and analyses have been added to the code base, including functional-group and open-shell symmetry adapted perturbation theory, density-fitted coupled cluster with frozen natural orbitals, orbital-optimized perturbation and coupled-cluster methods (e.g., OO-MP2 and OO-LCCD), density-fitted multiconfigurational self-consistent field, density cumulant functional theory, algebraic-diagrammatic construction excited states, improvements to the geometry optimizer, and the X2C approach to relativistic corrections, among many other improvements.

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