6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Nuclear quantum effects (NQE) tend to generate delocalized molecular dynamics due to the inclusion of the zero point energy and its coupling with the anharmonicities in interatomic interactions. Here, we present evidence that NQE often enhance electronic interactions and, in turn, can result in dynamical molecular stabilization at finite temperature. The underlying physical mechanism promoted by NQE depends on the particular interaction under consideration. First, the effective reduction of interatomic distances between functional groups within a molecule can enhance the n →  π * interaction by increasing the overlap between molecular orbitals or by strengthening electrostatic interactions between neighboring charge densities. Second, NQE can localize methyl rotors by temporarily changing molecular bond orders and leading to the emergence of localized transient rotor states. Third, for noncovalent van der Waals interactions the strengthening comes from the increase of the polarizability given the expanded average interatomic distances induced by NQE. The implications of these boosted interactions include counterintuitive hydroxyl–hydroxyl bonding, hindered methyl rotor dynamics, and molecular stiffening which generates smoother free-energy surfaces. Our findings yield new insights into the versatile role of nuclear quantum fluctuations in molecules and materials.

          Abstract

          The inclusion of nuclear quantum effects (NQE) in atomistic simulations of chemical systems is of key importance. Here the authors use machine learned force fields trained on coupled cluster reference data to show the dynamical strengthening of covalent and non-covalent molecular interactions induced by NQE.

          Related collections

          Most cited references80

          • Record: found
          • Abstract: not found
          • Article: not found

          Software update: the ORCA program system, version 4.0

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found
            Is Open Access

            Accurate Molecular Van Der Waals Interactions from Ground-State Electron Density and Free-Atom Reference Data

            We present a parameter-free method for an accurate determination of long-range van der Waals interactions from mean-field electronic structure calculations. Our method relies on the summation of interatomic C6 coefficients, derived from the electron density of a molecule or solid and accurate reference data for the free atoms. The mean absolute error in the C6 coefficients is 5.5% when compared to accurate experimental values for 1225 intermolecular pairs, irrespective of the employed exchange-correlation functional. We show that the effective atomic C6 coefficients depend strongly on the bonding environment of an atom in a molecule. Finally, we analyze the van der Waals radii and the damping function in the C6R(-6) correction method for density-functional theory calculations.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Intermolecular interactions from a natural bond orbital, donor-acceptor viewpoint

                Bookmark

                Author and article information

                Contributors
                sauceda@tu-berlin.de
                klaus-robert.mueller@tu-berlin.de
                alexandre.tkatchenko@uni.lu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                19 January 2021
                19 January 2021
                2021
                : 12
                : 442
                Affiliations
                [1 ]GRID grid.16008.3f, ISNI 0000 0001 2295 9843, Department of Physics and Materials Science, , University of Luxembourg, ; L-1511 Luxembourg City, Luxembourg
                [2 ]GRID grid.6734.6, ISNI 0000 0001 2292 8254, Machine Learning Group, Technische Universität Berlin, ; 10587 Berlin, Germany
                [3 ]GRID grid.6734.6, ISNI 0000 0001 2292 8254, BASLEARN, BASF-TU joint Lab, Technische Universität Berlin, ; 10587 Berlin, Germany
                [4 ]GRID grid.222754.4, ISNI 0000 0001 0840 2678, Department of Artificial Intelligence, , Korea University, ; Anam-dong, Seongbuk-gu, Seoul, 02841 Korea
                [5 ]GRID grid.419528.3, ISNI 0000 0004 0491 9823, Max Planck Institute for Informatics, ; Stuhlsatzenhausweg, 66123 Saarbrücken, Germany
                [6 ]Google Research, Brain team, Berlin, Germany
                Author information
                http://orcid.org/0000-0001-6091-3408
                http://orcid.org/0000-0001-7532-3590
                http://orcid.org/0000-0003-0892-952X
                http://orcid.org/0000-0002-3861-7685
                http://orcid.org/0000-0002-1012-4854
                Article
                20212
                10.1038/s41467-020-20212-1
                7815839
                33469007
                6905001d-d4a0-468f-bfed-863ee382f3e5
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 June 2020
                : 12 November 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001866, Fonds National de la Recherche Luxembourg (National Research Fund);
                Award ID: DTU PRIDE MASSENA
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: ERC-CoG BeStMo
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: Math+, EXC 2046/1, Project ID 390685689
                Award Recipient :
                Funded by: Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea Government (No. 2019-0-00079, Artificial Intelligence Graduate School Program, Korea University). German Ministry for Education and Research (BMBF) under Grants 01IS14013A-E, 01GQ1115, 01GQ0850, 01IS18025A and 01IS18037A.
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                physical chemistry,computational chemistry,molecular dynamics,electronic structure of atoms and molecules

                Comments

                Comment on this article