2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Inhomogeneity Effects on Reactions in Supercritical Fluids: A Computational Study on the Pyrolysis of n-Decane

      research-article
      , , , § ,
      JACS Au
      American Chemical Society
      supercritical, pyrolysis, n-decane, hyperdynamics, machine learning

      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

          Supercritical fluids exhibit peculiar inhomogeneity, which strongly affects reaction behaviors in them. However, explanations for inhomogeneity and its effect on reactions are both ambiguous so far. Here, we provide an atomic-level understanding of inhomogeneity effects on reactions via the computational method, with the example of n-decane pyrolysis under supercritical conditions. We describe the characteristic pyrolysis behaviors through collective variable-driven hyperdynamics (CVHD) simulations and explain the inhomogeneity of supercritical n-decane as the coexistence of gas-like and liquid-like atoms by a trained machine learning classifier. Due to their specific local environment, the appearance of liquid-like atoms under supercritical conditions significantly increases the type and frequency of bimolecular reactions and eventually causes changes in product distributions. Future research with this method is expected to extend the effect of inhomogeneity on other reactions under supercritical conditions or other condensed phases.

          Related collections

          Most cited references49

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

          Fast Parallel Algorithms for Short-Range Molecular Dynamics

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

            Chemistry with ADF

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

              Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids

                Bookmark

                Author and article information

                Journal
                JACS Au
                JACS Au
                au
                jaaucr
                JACS Au
                American Chemical Society
                2691-3704
                06 September 2022
                26 September 2022
                : 2
                : 9
                : 2081-2088
                Affiliations
                []Key Laboratory for Green Chemical Technology of Ministry of Education, School of Chemical Engineering and Technology, Tianjin University , Tianjin 300072, China
                []Haihe Laboratory of Sustainable Chemical Transformations , Tianjin 300192, China
                [§ ]Zhejiang Institute of Tianjin University , Ningbo, Zhejiang 315201, China
                Author notes
                [* ]Email: gliu@ 123456tju.edu.cn . Tel./Fax: +86-22-85356099.
                Author information
                https://orcid.org/0000-0003-2193-5289
                Article
                10.1021/jacsau.2c00359
                9516705
                e2a90f85-2790-42c0-be22-bf9f71586098
                © 2022 The Authors. Published by American Chemical Society

                Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works ( https://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 19 June 2022
                : 24 August 2022
                : 24 August 2022
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 22025802
                Categories
                Article
                Custom metadata
                au2c00359
                au2c00359

                supercritical,pyrolysis,n-decane,hyperdynamics,machine learning

                Comments

                Comment on this article