Monte Carlo Potential Energy Sampling for Molecular Entropy in Zeolites

被引:33
|
作者
Jorgensen, Mikkel
Chen, Lin
Gronbeck, Henrik [1 ]
机构
[1] Chalmers Univ Technol, Dept Phys, S-41296 Gothenburg, Sweden
来源
JOURNAL OF PHYSICAL CHEMISTRY C | 2018年 / 122卷 / 35期
基金
瑞典研究理事会;
关键词
WAVE BASIS-SET; METHANOL CONVERSION; PRODUCT SELECTIVITY; DYNAMICS; ADSORPTION; ACTIVATION; CATALYSIS; THERMODYNAMICS; SILICALITE; DIFFUSION;
D O I
10.1021/acs.jpcc.8b05382
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
Zeolites are widely applied as molecular sieves and porous host materials for active sites in heterogeneous catalysis. Adsorption and reaction kinetics depend critically on the molecular entropy in the zeolite. In this work, we introduce a method to calculate the entropy of molecules in zeolites using Monte Carlo integration of the semiclassical partition function. The method is demonstrated for N-2 and CH4 in chabazite and MFI silicalites. We find that the molecular entropy is lowered by a factor between 1/3 and 1/2 with respect to the gas-phase value. The results are corroborated by explicit molecular dynamics simulations revealing the active molecular degrees of freedom. The possibility of accurate entropy estimations opens up for an improved description of catalytic reactions and sorption phenomena in zeolites.
引用
收藏
页码:20351 / 20357
页数:7
相关论文
共 50 条
  • [1] Monte Carlo Potential Energy Sampling for Molecular Entropy in Zeolites (vol 122, pg 20351, 2018)
    Jorgensen, Mikkel
    Chen, Lin
    Gronbeck, Henrik
    JOURNAL OF PHYSICAL CHEMISTRY C, 2019, 123 (15): : 10166 - 10166
  • [2] Monte Carlo, maximum entropy and importance sampling
    Levine, RD
    CHEMICAL PHYSICS, 1998, 228 (1-3) : 255 - 264
  • [3] Entropy sampling Monte Carlo for polypeptides and proteins
    Scheraga, HA
    Hao, MH
    MONTE CARLO METHODS IN CHEMICAL PHYSICS, 1999, 105 : 243 - 272
  • [4] Method of Monte Carlo entropy sampling in polymer systems
    Sikorski, A
    POLIMERY, 2000, 45 (7-8) : 514 - 519
  • [5] Efficient sampling for ab initio Monte Carlo simulation of molecular clusters using an interpolated potential energy surface
    Nakayama, Akira
    Seki, Nanami
    Taketsugu, Tetsuya
    JOURNAL OF CHEMICAL PHYSICS, 2009, 130 (02):
  • [6] Adaptive sampling with Renyi entropy in Monte Carlo path tracing
    Xu, Q
    Hu, RJ
    Xing, LP
    Xu, Y
    2005 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Vols 1 and 2, 2005, : 784 - 788
  • [7] Chemical potential, Helmholtz free energy and entropy of argon with kinetic Monte Carlo simulation
    Fan, C.
    Do, D. D.
    Nicholson, D.
    Ustinov, E.
    MOLECULAR PHYSICS, 2014, 112 (01) : 60 - 73
  • [8] Reactive Monte Carlo sampling with an ab initio potential
    Leiding, Jeff
    Coe, Joshua D.
    JOURNAL OF CHEMICAL PHYSICS, 2016, 144 (17):
  • [9] Monte Carlo simulations in zeolites
    Smit, B
    Krishna, R
    CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE, 2001, 5 (05): : 455 - 461
  • [10] Monte Carlo vs molecular dynamics for conformational sampling
    Jorgensen, WL
    TiradoRives, J
    JOURNAL OF PHYSICAL CHEMISTRY, 1996, 100 (34): : 14508 - 14513