Molecular Dynamics Simulations of Crystal Nucleation from Solution at Constant Chemical Potential

被引:35
|
作者
Karmakar, Tarak [1 ,2 ]
Piaggi, Pablo M. [1 ,2 ]
Parrinello, Michele [1 ,2 ]
机构
[1] Swiss Fed Inst Technol, Dept Chem & Appl Biosci, C-O USI Campus,Via Giuseppe Buffi 13, CH-6900 Lugano, Ticino, Switzerland
[2] Univ Svizzera Italiana, Ist Sci Computat, Fac Informat, Via Giuseppe Buffi 13, CH-6900 Lugano, Ticino, Switzerland
关键词
STRING METHOD; ICE NUCLEATION; NACL; SUPERSATURATION; MECHANISM; CRYSTALLIZATION; POLYMORPHISM; DESOLVATION; PREDICTION; KINETICS;
D O I
10.1021/acs.jctc.9b00795
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A widespread method of crystal preparation is to precipitate it from a supersaturated solution. In such a process, control of solution concentration is of paramount importance. The nucleation process, polymorph selection, and crystal habits depend crucially on this thermodynamic parameter. When performing molecular dynamics simulations with a fixed number of molecules in the canonical ensemble, crystal growth is accompanied by a decrease in the solution concentration. This modification of the thermodynamic condition leads to significant artifacts. Inspired by the recent development of the constant chemical potential molecular dynamics simulation method by Perego et al. [J. Chem. Phys. 2015, 142, 144113], we develop a spherical variant of it to study nucleation from solution. Our method allows determining the crystal nucleus size and nucleation rates at constant supersaturation. As an example, we study the homogeneous nucleation of sodium chloride from its supersaturated aqueous solution.
引用
收藏
页码:6923 / 6930
页数:8
相关论文
共 50 条
  • [31] Nucleation rate analysis of methane hydrate from molecular dynamics simulations
    Yuhara, Daisuke
    Barnes, Brian C.
    Suh, Donguk
    Knott, Brandon C.
    Beckham, Gregg T.
    Yasuoka, Kenji
    Wu, David T.
    Sum, Amadeu K.
    FARADAY DISCUSSIONS, 2015, 179 : 463 - 474
  • [32] Comparative Study of Force Fields for Molecular Dynamics Simulations of α-Glycine Crystal Growth from Solution
    Cheong, Daniel W.
    Di Boon, Yi
    CRYSTAL GROWTH & DESIGN, 2010, 10 (12) : 5146 - 5158
  • [33] Modeling crystal growth from solution with molecular dynamics simulations: Approaches to transition rate constants
    Reilly, Anthony M.
    Briesen, Heiko
    JOURNAL OF CHEMICAL PHYSICS, 2012, 136 (03):
  • [34] Micellar crystals in solution from molecular dynamics simulations
    Anderson, J. A.
    Lorenz, C. D.
    Travesset, A.
    JOURNAL OF CHEMICAL PHYSICS, 2008, 128 (18):
  • [35] Simulations of the nucleation of AgBr from solution
    Shore, JD
    Perchak, D
    Shnidman, Y
    JOURNAL OF CHEMICAL PHYSICS, 2000, 113 (15): : 6276 - 6284
  • [36] Constant chemical potential-quantum mechanical-molecular dynamics simulations of the graphene-electrolyte double layer
    Di Pasquale, Nicodemo
    Finney, Aaron R.
    Elliott, Joshua D.
    Carbone, Paola
    Salvalaglio, Matteo
    JOURNAL OF CHEMICAL PHYSICS, 2023, 158 (13):
  • [37] Machine learning for molecular simulations of crystal nucleation and growth
    Sarupria, Sapna
    Hall, Steven W.
    Rogal, Jutta
    MRS BULLETIN, 2022, 47 (09) : 949 - 957
  • [38] Machine learning for molecular simulations of crystal nucleation and growth
    Sapna Sarupria
    Steven W. Hall
    Jutta Rogal
    MRS Bulletin, 2022, 47 : 949 - 957
  • [39] A DIRECT METHOD FOR DETERMINATION OF CHEMICAL-POTENTIAL FROM OSMOTIC MOLECULAR-DYNAMICS SIMULATIONS
    ROWLEY, RL
    SHUPE, TD
    SCHUCK, MW
    FLUID PHASE EQUILIBRIA, 1995, 104 : 159 - 171
  • [40] Constant pH molecular dynamics in biopolymer simulations
    Brooks, Charles L.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2012, 244