Your browser doesn't support javascript.
loading
RSeeds: Rigid Seeding Method for Studying Heterogeneous Crystal Nucleation.
Yuan, Tianmu; DeFever, Ryan S; Zhou, Jiarun; Cortes-Morales, Ernesto Carlos; Sarupria, Sapna.
Afiliação
  • Yuan T; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States.
  • DeFever RS; Department of Chemical Engineering, The University of Manchester, Manchester, U.K. M13 9PL.
  • Zhou J; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States.
  • Cortes-Morales EC; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States.
  • Sarupria S; Department of Chemistry, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, United States.
J Phys Chem B ; 127(18): 4112-4125, 2023 May 11.
Article em En | MEDLINE | ID: mdl-37130351
Heterogeneous nucleation is the dominant form of liquid-to-solid transition in nature. Although molecular simulations are most uniquely suited to studying nucleation, the waiting time to observe even a single nucleation event can easily exceed the current computational capabilities. Therefore, there exists an imminent need for methods that enable computationally fast and feasible studies of heterogeneous nucleation. Seeding is a technique that has proven to be successful at dramatically expanding the range of computationally accessible nucleation rates in simulation studies of homogeneous crystal nucleation. In this article, we introduce a new seeding method for heterogeneous nucleation called Rigid Seeding (RSeeds). Crystalline seeds are treated as pseudorigid bodies and simulated on a surface with metastable liquid above its melting temperature. This allows the seeds to adapt to the surface and identify favorable seed-surface configurations, which is necessary for reliable predictions of crystal polymorphs that form and the corresponding heterogeneous nucleation rates. We demonstrate and validate RSeeds for heterogeneous ice nucleation on a flexible self-assembled monolayer surface, a mineral surface based on kaolinite, and two model surfaces. RSeeds predicts the correct ice polymorph, exposed crystal plane, and rotation on the surface. RSeeds is semiquantitative and can be used to estimate the critical nucleus size and nucleation rate when combined with classical nucleation theory. We demonstrate that RSeeds can be used to evaluate nucleation rates spanning many orders of magnitude.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article