Empirical interatomic potentials optimized for phonon properties
Molecular dynamics: Optimized potentials for studying phonons A framework has been developed that can optimize the potentials needed to more accurately study phonons using molecular dynamics. Molecular dynamics simulations are an indispensable tool for studying how atoms interact. Despite their wide...
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Nature Portfolio
2017
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oai:doaj.org-article:f1ecd71ab91c437da1b1c4f3c6fe52672021-12-02T12:30:32ZEmpirical interatomic potentials optimized for phonon properties10.1038/s41524-017-0026-y2057-3960https://doaj.org/article/f1ecd71ab91c437da1b1c4f3c6fe52672017-07-01T00:00:00Zhttps://doi.org/10.1038/s41524-017-0026-yhttps://doaj.org/toc/2057-3960Molecular dynamics: Optimized potentials for studying phonons A framework has been developed that can optimize the potentials needed to more accurately study phonons using molecular dynamics. Molecular dynamics simulations are an indispensable tool for studying how atoms interact. Despite their widespread use, however, it is often difficult to determine the potentials needed to accurately describe the various interactions involved for phonons, which are the excitations that underpin physical properties such as thermal conductivity. An international team of researchers led by professor Asegun Henry from the Georgia Institute of Technology presents an approach, based on a genetic algorithm, that can optimise the empirical interatomic potentials for phonons from first principles inputs, that can be used in classical molecular dynamics simulations. And although they demonstrate this method with semiconducting silicon and germanium, it should be extendable to alloys and disordered systems.Andrew RohskopfHamid R. SeyfKiarash GordizTerumasa TadanoAsegun HenryNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 3, Iss 1, Pp 1-7 (2017) |
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Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765 |
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Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765 Andrew Rohskopf Hamid R. Seyf Kiarash Gordiz Terumasa Tadano Asegun Henry Empirical interatomic potentials optimized for phonon properties |
description |
Molecular dynamics: Optimized potentials for studying phonons A framework has been developed that can optimize the potentials needed to more accurately study phonons using molecular dynamics. Molecular dynamics simulations are an indispensable tool for studying how atoms interact. Despite their widespread use, however, it is often difficult to determine the potentials needed to accurately describe the various interactions involved for phonons, which are the excitations that underpin physical properties such as thermal conductivity. An international team of researchers led by professor Asegun Henry from the Georgia Institute of Technology presents an approach, based on a genetic algorithm, that can optimise the empirical interatomic potentials for phonons from first principles inputs, that can be used in classical molecular dynamics simulations. And although they demonstrate this method with semiconducting silicon and germanium, it should be extendable to alloys and disordered systems. |
format |
article |
author |
Andrew Rohskopf Hamid R. Seyf Kiarash Gordiz Terumasa Tadano Asegun Henry |
author_facet |
Andrew Rohskopf Hamid R. Seyf Kiarash Gordiz Terumasa Tadano Asegun Henry |
author_sort |
Andrew Rohskopf |
title |
Empirical interatomic potentials optimized for phonon properties |
title_short |
Empirical interatomic potentials optimized for phonon properties |
title_full |
Empirical interatomic potentials optimized for phonon properties |
title_fullStr |
Empirical interatomic potentials optimized for phonon properties |
title_full_unstemmed |
Empirical interatomic potentials optimized for phonon properties |
title_sort |
empirical interatomic potentials optimized for phonon properties |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/f1ecd71ab91c437da1b1c4f3c6fe5267 |
work_keys_str_mv |
AT andrewrohskopf empiricalinteratomicpotentialsoptimizedforphononproperties AT hamidrseyf empiricalinteratomicpotentialsoptimizedforphononproperties AT kiarashgordiz empiricalinteratomicpotentialsoptimizedforphononproperties AT terumasatadano empiricalinteratomicpotentialsoptimizedforphononproperties AT asegunhenry empiricalinteratomicpotentialsoptimizedforphononproperties |
_version_ |
1718394371908304896 |