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      Multilevel Density Functional Theory

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          Abstract

          Following recent developments in multilevel embedding methods, we introduce a novel density matrix-based multilevel approach within the framework of density functional theory (DFT). In this multilevel DFT, the system is partitioned in an active and an inactive fragment, and all interactions are retained between the two parts. The decomposition of the total system is performed upon the density matrix. The orthogonality between the two parts is maintained by solving the Kohn–Sham equations in the MO basis for the active part only, while keeping the inactive density matrix frozen. This results in the reduction of computational cost. We outline the theory and implementation and discuss the differences and similarities with state-of-the-art DFT embedding methods. We present applications to aqueous solutions of methyloxirane and glycidol.

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          Generalized Gradient Approximation Made Simple

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            Density-functional thermochemistry. III. The role of exact exchange

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              Self-Consistent Equations Including Exchange and Correlation Effects

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                Author and article information

                Journal
                J Chem Theory Comput
                J Chem Theory Comput
                ct
                jctcce
                Journal of Chemical Theory and Computation
                American Chemical Society
                1549-9618
                1549-9626
                15 January 2021
                09 February 2021
                : 17
                : 2
                : 791-803
                Affiliations
                []Scuola Normale Superiore , Piazza dei Cavalieri 7, 56126 Pisa, Italy
                []Department of Chemistry, Norwegian University of Science and Technology , 7491 Trondheim, Norway
                Author notes
                Article
                10.1021/acs.jctc.0c00940
                7880574
                33449681
                b7a189fd-f016-4bcc-bf97-addb8ec23481
                © 2021 The Authors. Published by American Chemical Society

                This is an open access article published under a Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.

                History
                : 10 September 2020
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                Custom metadata
                ct0c00940
                ct0c00940

                Computational chemistry & Modeling
                Computational chemistry & Modeling

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