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Analytic gradients for compressed multistate pair-density functional theory
Univ Minnesota, Chem Theory Ctr, Dept Chem, Minneapolis, MN 55455 USA.;Univ Minnesota, Minnesota Supercomp Inst, Minneapolis, MN 55455 USA..ORCID iD: 0000-0003-0197-3405
Univ Chicago, James Franck Inst, Pritzker Sch Mol Engn, Dept Chem,Chicago Ctr Theoret Chem, 5640 S Ellis Ave, Chicago, IL 60637 USA.;Argonne Natl Lab, Lemont, IL 60439 USA..
Univ Chicago, James Franck Inst, Pritzker Sch Mol Engn, Dept Chem,Chicago Ctr Theoret Chem, 5640 S Ellis Ave, Chicago, IL 60637 USA.;Argonne Natl Lab, Lemont, IL 60439 USA..ORCID iD: 0000-0002-5746-5517
Butler Univ, Dept Chem & Biochem, Indianapolis, IN 46208 USA..ORCID iD: 0000-0002-7166-2066
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2022 (English)In: Molecular Physics, ISSN 0026-8976, E-ISSN 1362-3028, Vol. 120, no 19-20, article id e2110534Article in journal (Refereed) Published
Abstract [en]

Photochemical reactions often involve states that are closely coupled due to near degeneracies, for example by proximity to conical intersections. Therefore, a multistate method is used to accurately describe these states; for example, ordinary perturbation theory is replaced by quasidegenerate perturbation theory. Multiconfiguration pair-density functional theory (MC-PDFT) provides an efficient way to approximate the full dynamical correlation energy of strongly correlated systems, and we recently proposed compressed multistate pair-density functional theory (CMS-PDFT) to treat closely coupled states. In the present paper, we report the implementation of analytic gradients for CMS-PDFT in both OpenMolcas and PySCF, and we illustrate the use of these gradients by applying the method to the excited states of formaldehyde and phenol.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2022. Vol. 120, no 19-20, article id e2110534
Keywords [en]
Analytic gradients, pair-density functional theory, electronic structure method, molecular geometry, excited states
National Category
Theoretical Chemistry
Identifiers
URN: urn:nbn:se:uu:diva-496950DOI: 10.1080/00268976.2022.2110534ISI: 000851288300001OAI: oai:DiVA.org:uu-496950DiVA, id: diva2:1738568
Funder
Swedish Research Council, 2020-03182Available from: 2023-02-22 Created: 2023-02-22 Last updated: 2023-02-22Bibliographically approved

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Lindh, Roland

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