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      Local Energy Decomposition of Open-Shell Molecular Systems in the Domain-Based Local Pair Natural Orbital Coupled Cluster Framework

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          Abstract

          Local energy decomposition (LED) analysis decomposes the interaction energy between two fragments calculated at the domain-based local pair natural orbital CCSD(T) (DLPNO-CCSD(T)) level of theory into a series of chemically meaningful contributions and has found widespread applications in the study of noncovalent interactions. Herein, an extension of this scheme that allows for the analysis of interaction energies of open-shell molecular systems calculated at the UHF-DLPNO-CCSD(T) level is presented. The new scheme is illustrated through applications to the CH 2···X (X = He, Ne, Ar, Kr, and water) and heme···CO interactions in the low-lying singlet and triplet spin states. The results are used to discuss the mechanism that governs the change in the singlet–triplet energy gap of methylene and heme upon adduct formation.

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          Gaussian basis sets for use in correlated molecular calculations. IV. Calculation of static electrical response properties

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            RI-MP2: optimized auxiliary basis sets and demonstration of efficiency

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              Auxiliary basis sets to approximate Coulomb potentials

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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
                31 January 2019
                12 March 2019
                : 15
                : 3
                : 1616-1632
                Affiliations
                []Max-Planck-Institut für Kohlenforschung , Kaiser-Wilhelm-Platz 1, D-45470 Mülheim an der Ruhr, Germany
                []Department of Chemistry, Graduate School of Science, Nagoya University , 1-5 Chikusa-ku, 464-8602 Nagoya, Japan
                Author notes
                Article
                10.1021/acs.jctc.8b01145
                6728066
                30702888
                f96e91ed-5ae6-4a71-ace6-ed5ce02dbaa0
                Copyright © 2019 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 November 2018
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                Custom metadata
                ct8b01145
                ct-2018-01145s

                Computational chemistry & Modeling
                Computational chemistry & Modeling

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