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      Anharmonic quantum nuclear densities from full dimensional vibrational eigenfunctions with application to protonated glycine

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          Abstract

          The interpretation of molecular vibrational spectroscopic signals in terms of atomic motion is essential to understand molecular mechanisms and for chemical characterization. The signals are usually assigned after harmonic normal mode analysis, even if molecular vibrations are known to be anharmonic. Here we obtain the quantum anharmonic vibrational eigenfunctions of the 11-atom protonated glycine molecule and we calculate the density distribution of its nuclei and its geometry parameters, for both the ground and the O-H stretch excited states, using our semiclassical method based on ab initio molecular dynamics trajectories. Our quantum mechanical results describe a molecule elongated and more flexible with respect to what previously thought. More importantly, our method is able to assign each spectral peak in vibrational spectroscopy by showing quantitatively how normal modes involving different functional groups cooperate to originate that spectroscopic signal. The method will possibly allow for a better rationalization of experimental spectroscopy.

          Abstract

          Accurate interpretation of molecular vibrational spectroscopic signals is key to understand chemical processes. Here the authors introduce a new computational approach to represent vibrational modes in terms of nuclear densities that captures anharmonic effects in protonated glycine.

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          Variational quantum approaches for computing vibrational energies of polyatomic molecules

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            Vibrational energy distribution analysis (VEDA): scopes and limitations.

            The principle of operations of the VEDA program written by the author for Potential Energy Distribution (PED) analysis of theoretical vibrational spectra is described. Nowadays, the PED analysis is indispensible tool in serious analysis of the vibrational spectra. To perform the PED analysis it is necessary to define 3N-6 linearly independent local mode coordinates. Already for 20-atomic molecules it is a difficult task. The VEDA program reads the input data automatically from the Gaussian program output files. Then, VEDA automatically proposes an introductory set of local mode coordinates. Next, the more adequate coordinates are proposed by the program and optimized to obtain maximal elements of each column (internal coordinate) of the PED matrix (the EPM parameter). The possibility for an automatic optimization of PED contributions is a unique feature of the VEDA program absent in any other programs performing PED analysis.
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              Molecular Charge Distributions and Chemical Binding

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                Author and article information

                Contributors
                michele.ceotto@unimi.it
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                28 August 2020
                28 August 2020
                2020
                : 11
                : 4348
                Affiliations
                [1 ]GRID grid.4708.b, ISNI 0000 0004 1757 2822, Dipartimento di Chimica, , Università degli Studi di Milano, ; via C. Golgi 19, 20133 Milano, Italy
                [2 ]GRID grid.425358.d, ISNI 0000 0001 0691 504X, Istituto Nazionale di Ricerca Metrologica, ; Strada delle Cacce 91, 10135 Torino, Italy
                Author information
                http://orcid.org/0000-0003-1433-8451
                http://orcid.org/0000-0002-9440-4537
                http://orcid.org/0000-0002-8270-3409
                Article
                18211
                10.1038/s41467-020-18211-3
                7455743
                32859910
                b0453eef-fb33-4e60-a9bd-7d31fe1bba59
                © The Author(s) 2020

                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
                : 23 January 2020
                : 29 July 2020
                Funding
                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: 647107
                Award Recipient :
                Funded by: Italian Ministry of Education, University, and Research (MIUR) (FARE programme R16KN7XBRB project QURE)
                Categories
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                © The Author(s) 2020

                Uncategorized
                method development,quantum simulation
                Uncategorized
                method development, quantum simulation

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