Publication date: Mar 16, 2021
Quasiharmonic theory of atomic vibrations usually fails to describe materials that undergo structural phase transitions, which is the case with germanium telluride (GeTe) at high temperatures. To correctly model vibrational properties of GeTe at high temperatures, we use the temperature dependent effective potential (TDEP) method (Physical Review B 88, 144301 (2013)). Collecting data needed to fit TDEP models involves running ab-initio molecular dynamics (MD) simulations. These MD simulations can be very CPU time consuming. In order to speed up MD simulations, we fitted an interatomic potential using the Gaussian Approximation Potential (GAP) approach (Physical Review Letters 104, 136403 (2010)) to obtain interatomic forces during MD simulations. This dataset consists of the training set of density functional theory energies and forces of GeTe for GAP, and the training script used to generate the interatomic potential.
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File name | Size | Description |
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complete_data_GAP_GeTe.tar.gz
MD5md5:f49e5b843c970f072e317e7873120e04
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91.1 MiB | train_GeTe.xyz contains density functional theory energies and forces for a number of different atomic configurations of GeTe. GAP.xml* are the potential files used by LAMMPS to perform molecular dynamics simulations. train.sh is the bash script used to train GAP potential. |
2021.42 (version v1) [This version] | Mar 16, 2021 | DOI10.24435/materialscloud:pd-g9 |