Computational Materials Science2022,Vol.21113.DOI:10.1016/j.commatsci.2022.111511

A fast atomistic approach to finite-temperature surface elasticity of crystalline solids

Saxena, Shashank Spinola, Miguel Gupta, Prateek Kochmann, Dennis M.
Computational Materials Science2022,Vol.21113.DOI:10.1016/j.commatsci.2022.111511

A fast atomistic approach to finite-temperature surface elasticity of crystalline solids

Saxena, Shashank 1Spinola, Miguel 1Gupta, Prateek 2Kochmann, Dennis M.1
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作者信息

  • 1. Swiss Fed Inst Technol
  • 2. Indian Inst Technol Delhi
  • 折叠

Abstract

Surface energies and surface elasticity largely affect the mechanical response of nanostructures as well as the physical phenomena associated with surfaces such as evaporation and adsorption. Studying surface energies at finite temperatures is therefore of immense interest for nanoscale applications. However, calculating surface energies and derived quantities from atomistic ensembles is usually limited to zero temperature or involves cumbersome thermodynamic integration techniques at finite temperature. Here, we illustrate a computational technique to identify the energy and elastic properties of surfaces of solids at non-zero temperature based on a Gaussian phase packets (GPP) approach (which in the isothermal limit coincides with a maximum entropy formulation). Using this technique, we investigate the effect of temperature on the surface properties of different crystal faces for six pure metals - copper, nickel, aluminium, iron, tungsten and vanadium - thus covering both FCC and BCC lattice structures. While the obtained surface energies and stresses usually show a decreasing trend with increasing temperature, the elastic constants do not show such a consistent trend across the different materials and are quite sensitive to temperature changes. Validation is performed by comparing the obtained surface energy densities of selected BCC and FCC materials to those calculated via molecular dynamics.

Key words

Surface energy/Elasticity/Statistical mechanics/Gaussian Phase Packet/Molecular Dynamics/Quasicontinuum/FREE-ENERGIES/MOLECULAR-DYNAMICS/COMPUTE SURFACE/STRESS/TENSION/EQUILIBRIUM/SIMULATION/MECHANICS

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量1
参考文献量56
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