Finite-temperature grain boundary properties from quasistatic atomistics

Grain boundary (GB) properties greatly influence the mechanical, electrical, and thermal response of polycrystalline materials. Most computational studies of GB properties at finite temperatures use molecular dynamics (MD), which is computationally expensive, limited in the range of accessible timescales, and requires cumbersome techniques like thermodynamic integration to estimate free energies. This restricts the reasonable computation (without incurring excessive computational expense) of GB properties to regimes that are often unrealistic, such as zero temperature or extremely high strain rates. Consequently, there is a need for simulation methodology that avoids the timescale limitations of MD, while providing reliable estimates of GB properties. The Gaussian Phase-Packet (GPP) method is a temporal coarse-graining technique that can predict relaxed atomic structures at finite temperature in the quasistatic limit. This work applies GPP, combined with the quasiharmonic approximation for computing the free energy, to the problem of determining the free energy and shear coupling factor of grain boundaries in metals over a range of realistic temperatures. Validation is achieved by comparison to thermodynamic integration and quasiharmonic approximation (QHA), which confirms that the presented approach captures relaxed-energy GB structures and shear coupling factors at finite temperature with a high degree of accuracy, and it performs significantly better than QHA on hydrostatically expanded 0 K structures.

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Publication Details

Journal
Computational Materials Science
Published
2024-08-09
DOI
https://doi.org/10.1016/j.commatsci.2024.113270
Citations
3
Primary Topic
Microstructure and mechanical properties
Type
article
Field-Weighted Citation Impact
0.35

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Finite-temperature grain boundary properties from quasistatic atomistics

Shashank Saxena, Brandon Runnels, Miguel Spínola, Prateek Gupta et al.
3 citations
Computational Materials Science
Microstructure and mechanical properties
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article

Finite-temperature grain boundary properties from quasistatic atomistics

Shashank Saxena, Brandon Runnels, Miguel Spínola, Prateek Gupta, Dennis M. Kochmann
article en
3 citations

Abstract

Grain boundary (GB) properties greatly influence the mechanical, electrical, and thermal response of polycrystalline materials. Most computational studies of GB properties at finite temperatures use molecular dynamics (MD), which is computationally expensive, limited in the range of accessible timescales, and requires cumbersome techniques like thermodynamic integration to estimate free energies. This restricts the reasonable computation (without incurring excessive computational expense) of GB properties to regimes that are often unrealistic, such as zero temperature or extremely high strain rates. Consequently, there is a need for simulation methodology that avoids the timescale limitations of MD, while providing reliable estimates of GB properties. The Gaussian Phase-Packet (GPP) method is a temporal coarse-graining technique that can predict relaxed atomic structures at finite temperature in the quasistatic limit. This work applies GPP, combined with the quasiharmonic approximation for computing the free energy, to the problem of determining the free energy and shear coupling factor of grain boundaries in metals over a range of realistic temperatures. Validation is achieved by comparison to thermodynamic integration and quasiharmonic approximation (QHA), which confirms that the presented approach captures relaxed-energy GB structures and shear coupling factors at finite temperature with a high degree of accuracy, and it performs significantly better than QHA on hydrostatically expanded 0 K structures.

Computational Materials ScienceVol. 244
Iowa State University (US), ETH Zurich (CH), Indian Institute of Technology Delhi (IN)
National Science Foundation, University of Colorado Colorado Springs, Horizon 2020 Framework Programme, European Research Council, Horizon 2020, H2020 European Research Council
Openalex Percentile: Top 45%
Microstructure and mechanical properties
0.35
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