Relaxation dynamics in lattice reverse Monte Carlo

被引:6
作者
Ball, Akash Kumar [1 ]
Haque, Suhail [1 ]
Chatterjee, Abhijit [1 ]
机构
[1] Indian Inst Technol, Dept Chem Engn, Mumbai, India
关键词
Reverse Monte Carlo; convergence; detailed balance; short-ranged order; stretched exponential; STRETCHED EXPONENTIAL RELAXATION; RMC; SIMULATION; ALGORITHM; CARBONS;
D O I
10.1080/08927022.2023.2202780
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
The reverse Monte Carlo (RMC) method is widely used in structural modelling and analysis of experimental data. More recently, RMC has been applied to the calculation of equilibrium thermodynamic properties and in dynamic problems. These studies require properly converged RMC calculations and an understanding of the relaxation behaviour in RMC. From our detailed lattice RMC calculations, we show that the relaxation comprises both fast and slow aspects. A metric is introduced to assess whether fast equilibration is achieved, i.e. detailed balance condition is satisfied. The metric is used as a test for quasi-equilibration. The slow evolution is analogous to glassy materials, i.e. it is characterised empirically in terms of the Kohlrausch-Williams-Watts (KWW) function, i.e. stretched exponentials. This feature can be exploited to estimate the convergence error or to extrapolate statistical quantities from short RMC calculations.
引用
收藏
页码:993 / 1005
页数:13
相关论文
共 54 条
[1]   Thermodynamic calculations using reverse Monte Carlo: convergence aspects, sources of error and guidelines for improving accuracy [J].
Agrahari, Gargi ;
Chatterjee, Abhijit .
MOLECULAR SIMULATION, 2022, 48 (13) :1143-1154
[2]   Thermodynamic calculations using reverse Monte Carlo [J].
Agrahari, Gargi ;
Chatterjee, Abhijit .
PHYSICAL REVIEW E, 2021, 104 (04)
[3]   Speed-up of Monte Carlo simulations by preparing starting off-lattice structures that are close to equilibrium [J].
Agrahari, Gargi ;
Chatterjee, Abhijit .
JOURNAL OF CHEMICAL PHYSICS, 2020, 152 (04)
[4]  
Allen M. P., 2017, Computer Simulation of Liquids, V2nd, DOI DOI 10.1093/OSO/9780198803195.001.0001
[5]  
[Anonymous], 1986, An Introduction to Statistical Thermodynamics
[6]   Fullrmc, a rigid body reverse monte carlo modeling package enabled with machine learning and artificial intelligence [J].
Aoun, Bachir .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 2016, 37 (12) :1102-1111
[7]   Accelerated calculation of configurational free energy using a combination of reverse Monte Carlo and neural network models: Adsorption isotherm for 2D square and triangular lattices [J].
Ball, Akash Kumar ;
Rana, Swati ;
Agrahari, Gargi ;
Chatterjee, Abhijit .
COMPUTER PHYSICS COMMUNICATIONS, 2023, 285
[8]   Fluctuation of the pair-correlation function [J].
Baranyai, A ;
Toth, G .
JOURNAL OF CHEMICAL PHYSICS, 1997, 107 (20) :8575-8576
[9]  
Bousige C., 2015, J CHEM PHYS, P142
[10]   The history of the stretched exponential function [J].
Cardona, M. ;
Chamberlin, R. V. ;
Marx, W. .
ANNALEN DER PHYSIK, 2007, 16 (12) :842-845