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      Reconciling Local Coupled Cluster with Multireference Approaches for Transition Metal Spin-State Energetics

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          Abstract

          Spin-state energetics of transition metal complexes remain one of the most challenging targets for electronic structure methods. Among single-reference wave function approaches, local correlation approximations to coupled cluster theory, most notably the domain-based local pair natural orbital (DLPNO) approach, hold the promise of bringing the accuracy of coupled cluster theory with single, double, and perturbative triple excitations, CCSD(T), to molecular systems of realistic size with acceptable computational cost. However, recent studies on spin-state energetics of iron-containing systems raised doubts about the ability of the DLPNO approach to adequately and systematically approximate energetics obtained by the reference-quality complete active space second-order perturbation theory with coupled-cluster semicore correlation, CASPT2/CC. Here, we revisit this problem using a diverse set of iron complexes and examine several aspects of the application of the DLPNO approach. We show that DLPNO-CCSD(T) can accurately reproduce both CASPT2/CC and canonical CCSD(T) results if two basic principles are followed. These include the consistent use of the improved iterative (T 1) versus the semicanonical perturbative triple corrections and, most importantly, a simple two-point extrapolation to the PNO space limit. The latter practically eliminates errors arising from the default truncation of electron-pair correlation spaces and should be viewed as standard practice in applications of the method to transition metal spin-state energetics. Our results show that reference-quality results can be readily achieved with DLPNO-CCSD(T) if these principles are followed. This is important also in view of the applicability of the method to larger single-reference systems and multinuclear clusters, whose treatment of dynamic correlation would be challenging for multireference-based approaches.

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          Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy.

          Gaussian basis sets of quadruple zeta valence quality for Rb-Rn are presented, as well as bases of split valence and triple zeta valence quality for H-Rn. The latter were obtained by (partly) modifying bases developed previously. A large set of more than 300 molecules representing (nearly) all elements-except lanthanides-in their common oxidation states was used to assess the quality of the bases all across the periodic table. Quantities investigated were atomization energies, dipole moments and structure parameters for Hartree-Fock, density functional theory and correlated methods, for which we had chosen Møller-Plesset perturbation theory as an example. Finally recommendations are given which type of basis set is used best for a certain level of theory and a desired quality of results.
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            Relativistic regular two‐component Hamiltonians

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              Relativistic total energy using regular approximations

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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
                18 May 2022
                14 June 2022
                : 18
                : 6
                : 3538-3548
                Affiliations
                []Inorganic Chemistry Laboratory, National and Kapodistrian University of Athens , Panepistimiopolis, Zografou 15771, Greece
                []Max-Planck-Institut für Kohlenforschung , Kaiser-Wilhelm-Platz 1, 45470 Mülheim an der Ruhr, Germany
                Author notes
                Author information
                https://orcid.org/0000-0002-4550-710X
                https://orcid.org/0000-0002-0172-7362
                https://orcid.org/0000-0002-2146-9065
                Article
                10.1021/acs.jctc.2c00265
                9202354
                35582788
                f0c9b18e-5de3-4b32-9fd8-c9dc1e4e4ae2
                © 2022 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 16 March 2022
                Funding
                Funded by: Max-Planck-Gesellschaft, doi 10.13039/501100004189;
                Award ID: NA
                Funded by: Hellenic Foundation for Research and Innovation, doi 10.13039/501100013209;
                Award ID: 16199
                Categories
                Article
                Custom metadata
                ct2c00265
                ct2c00265

                Computational chemistry & Modeling
                Computational chemistry & Modeling

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