Ensemble averaging vs. time averaging in molecular dynamics simulations of thermal conductivity
Author(s) -
Kiarash Gordiz,
David J. Singh,
Asegun Henry
Publication year - 2015
Publication title -
journal of applied physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.699
H-Index - 319
eISSN - 1089-7550
pISSN - 0021-8979
DOI - 10.1063/1.4906957
Subject(s) - phase space , molecular dynamics , statistical physics , thermal conductivity , sampling (signal processing) , trajectory , massively parallel , computer science , method of averaging , algorithm , physics , chemistry , computational chemistry , thermodynamics , parallel computing , filter (signal processing) , astronomy , computer vision , nonlinear system , quantum mechanics
In this report, we compare time averaging and ensemble averaging as two different methods for phase space sampling in molecular dynamics (MD) calculations of thermal conductivity. For the comparison, we calculate thermal conductivities of solid argon and silicon structures, using equilibrium MD. We introduce two different schemes for the ensemble averaging approach and show that both can reduce the total simulation time as compared to time averaging. It is also found that velocity rescaling is an efficient mechanism for phase space exploration. Although our methodology is tested using classical MD, the approaches used for generating independent trajectories may find their greatest utility in computationally expensive simulations such as first principles MD. For such simulations, where each time step is costly, time averaging can require long simulation times because each time step must be evaluated sequentially and therefore phase space averaging is achieved through sequential operations. On the other han...
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