Density fitting reduces the computational cost of both energy and gradient calculations by avoiding the computation and manipulation of four-index electron repulsion integrals. With this algorithm, one can efficiently optimize the geometries of large systems with an accurate multireference treatment. Here, we present the derivation of multiconfiguration pair-density functional theory for energies and analytic gradients with density fitting. Six systems are studied, and the results are compared to those obtained with no approximation to the electron repulsion integrals and to the results obtained by complete active space second-order perturbation theory. With the new approach, there is an increase in the speed of computation with a negligible loss in accuracy. Smaller grid sizes have also been used to reduce the computational cost of multiconfiguration pair-density functional theory with little effect on the optimized geometries and gradient values.
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21 February 2021
Research Article|
February 18 2021
Analytic gradients for multiconfiguration pair-density functional theory with density fitting: Development and application to geometry optimization in the ground and excited states Available to Purchase
Special Collection:
Special Collection in Honor of Women in Chemical Physics and Physical Chemistry
Thais R. Scott
;
Thais R. Scott
1
Pritzker School of Molecular Engineering and Department of Chemistry, University of Chicago
, Chicago, Illinois 60637, USA
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Meagan S. Oakley
;
Meagan S. Oakley
2
Department of Chemistry, Chemical Theory Center, and Minnesota Supercomputing Institute, University of Minnesota
, Minneapolis, Minnesota 55455, USA
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Matthew R. Hermes
;
Matthew R. Hermes
1
Pritzker School of Molecular Engineering and Department of Chemistry, University of Chicago
, Chicago, Illinois 60637, USA
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Andrew M. Sand
;
Andrew M. Sand
3
Department of Chemistry and Biochemistry, Butler University
, Indianapolis, Indiana 46208, USA
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Roland Lindh
;
Roland Lindh
4
Department of Chemistry—BMC, Organic Chemistry, Uppsala University
, SE-75123 Uppsala, Sweden
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Donald G. Truhlar
;
Donald G. Truhlar
a)
2
Department of Chemistry, Chemical Theory Center, and Minnesota Supercomputing Institute, University of Minnesota
, Minneapolis, Minnesota 55455, USA
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Laura Gagliardi
Laura Gagliardi
a)
1
Pritzker School of Molecular Engineering and Department of Chemistry, University of Chicago
, Chicago, Illinois 60637, USA
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Thais R. Scott
1
Meagan S. Oakley
2
Matthew R. Hermes
1
Andrew M. Sand
3
Roland Lindh
4
Donald G. Truhlar
2,a)
Laura Gagliardi
1,a)
1
Pritzker School of Molecular Engineering and Department of Chemistry, University of Chicago
, Chicago, Illinois 60637, USA
2
Department of Chemistry, Chemical Theory Center, and Minnesota Supercomputing Institute, University of Minnesota
, Minneapolis, Minnesota 55455, USA
3
Department of Chemistry and Biochemistry, Butler University
, Indianapolis, Indiana 46208, USA
4
Department of Chemistry—BMC, Organic Chemistry, Uppsala University
, SE-75123 Uppsala, Sweden
Note: This paper is part of the JCP Special Collection in Honor of Women in Chemical Physics and Physical Chemistry.
J. Chem. Phys. 154, 074108 (2021)
Article history
Received:
December 01 2020
Accepted:
January 17 2021
Citation
Thais R. Scott, Meagan S. Oakley, Matthew R. Hermes, Andrew M. Sand, Roland Lindh, Donald G. Truhlar, Laura Gagliardi; Analytic gradients for multiconfiguration pair-density functional theory with density fitting: Development and application to geometry optimization in the ground and excited states. J. Chem. Phys. 21 February 2021; 154 (7): 074108. https://doi.org/10.1063/5.0039258
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