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      The MOBH35 Metal–Organic Barrier Heights Reconsidered: Performance of Local-Orbital Coupled Cluster Approaches in Different Static Correlation Regimes

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      Journal of Chemical Theory and Computation
      American Chemical Society

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          Abstract

          We have revisited the MOBH35 (Metal–Organic Barrier Heights, 35 reactions) benchmark [ , , J. Phys. Chem. A, 2019, 123 ( (17), ), 3761−3781[ PubMed]; ibid. 2019, 123, 6379–6380] for realistic organometallic catalytic reactions, using both canonical CCSD(T) and localized orbital approximations to it. For low levels of static correlation, all of DLPNO-CCSD(T), PNO-LCCSD(T), and LNO-CCSD(T) perform well; for moderately strong levels of static correlation, DLPNO-CCSD(T) and (T 1) may break down catastrophically, and PNO-LCCSD(T) is vulnerable as well. In contrast, LNO-CCSD(T) converges smoothly to the canonical CCSD(T) answer with increasingly tight convergence settings. The only two reactions for which our revised MOBH35 reference values differ substantially from the original ones are reaction 9 and to a lesser extent 8, both involving iron. For the purpose of evaluating density functional theory (DFT) methods for MOBH35, it would be best to remove reaction 9 entirely as its severe level of static correlation makes it just too demanding for a test. The magnitude of the difference between DLPNO-CCSD(T) and DLPNO-CCSD(T 1) is a reasonably good predictor for errors in DLPNO-CCSD(T 1) compared to canonical CCSD(T); otherwise, monitoring all of T 1, D 1, max| t i A |, and 1/(ε LUMO – ε HOMO) should provide adequate warning for potential problems. Our conclusions are not specific to the def2-SVP basis set but are largely conserved for the larger def2-TZVPP, as they are for the smaller def2-SV(P): the latter may be an economical choice for calibrating against canonical CCSD(T). Finally, diagnostics for static correlation are statistically clustered into groups corresponding to (1) importance of single excitations in the wavefunction; (2a) the small band gap, weakly separated from (2b) correlation entropy; and (3) thermochemical importance of correlation energy, as well as the slope of the DFT reaction energy with respect to the percentage of HF exchange. Finally, a variable reduction analysis reveals that much information on the multireference character is provided by T 1, I ND/ I tot, and the exchange-based diagnostic A 100[TPSS].

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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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            Thermal Properties of the Inhomogeneous Electron Gas

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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
                19 January 2022
                08 February 2022
                : 18
                : 2
                : 883-898
                Affiliations
                [1]Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science , Reḥovot 7610001, Israel
                Author notes
                Author information
                https://orcid.org/0000-0002-4464-4057
                https://orcid.org/0000-0002-0005-5074
                Article
                10.1021/acs.jctc.1c01126
                8830049
                35045709
                5c1a5b74-251b-425e-bd80-9241e28ce0d9
                © 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
                : 08 November 2021
                Funding
                Funded by: Minerva Foundation, doi 10.13039/501100001658;
                Award ID: 2020/05
                Funded by: Helen and Martin Kimmel Center for Molecular Design, doi NA;
                Award ID: NA
                Funded by: Alexander S. Onassis Public Benefit Foundation, doi 10.13039/501100005302;
                Award ID: F ZP 052-1/2019-2020
                Funded by: Israel Science Foundation, doi 10.13039/501100003977;
                Award ID: 1969/20
                Categories
                Article
                Custom metadata
                ct1c01126
                ct1c01126

                Computational chemistry & Modeling
                Computational chemistry & Modeling

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