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Rapid estimation of elastic constants by molecular dynamics simulation under constant stress

Physical Review B · 2004 · Vol. 69(13)
Wataru ShinodaMotoyuki ShigaMasuhiro Mikami

Abstract

Molecular simulations, when they are used to understand properties characterizing the mechanical strength of solid materials, such as stress-strain relation or Born stability criterion, by using elastic constants, are sometimes seriously time consuming. In order to resolve this problem, we propose an efficient simulation approach under constant external stress and temperature, modifying Parrinello-Rahman (PR) method using useful sampling techniques developed recently---massive Nos\'e-Hoover chain method and hybrid Monte Carlo method. Test calculations on the Ni crystal employing the embedded atom method have shown that our method greatly improved the efficiency in sampling the elastic properties compared with the conventional PR method.

High-pressure geophysics and materialsMachine Learning in Materials ScienceTheoretical and Computational PhysicsMolecular dynamicsMonte Carlo methodConstant (computer programming)Stress (linguistics)Statistical physicsSampling (signal processing)Stability (learning theory)Materials scienceAtom (system on chip)Computer science
Citations
1,246
FWCI
0.59
field-weighted impact
References
37
Percentile
68%
vs. same field & year
Citations per year
References
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