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Gzip Archive - 195.7 MB -
MD5: f81fc865a1417ef50d91854a35131bb8
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Zr using the PBE functional. |
Gzip Archive - 214.5 MB -
MD5: 35c94c1f0ebcf510ec3fb71ad4757c35
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for bcc Zr using the PBE functional. |
TAR Archive - 3.1 GB -
MD5: 9a074fa2b0464eecbeced19a28299f90
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Python Source Code - 8.9 KB -
MD5: ed55405b58aef65d2662255ddd8d9cc4
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Fixed Field Text Data - 142 B -
MD5: 0d9dd11f58e8e00fe771fb9b17b7eed5
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application/x-iwork-keynote-sffkey - 4.6 KB -
MD5: 3f107bf70339ebfc21884ffc9873b127
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application/x-iwork-keynote-sffkey - 7.9 KB -
MD5: f979074b87ada928701a1585341ef88d
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Gzip Archive - 186.0 MB -
MD5: 96f63dfcf333bb706b0abc03ecb8d9e9
The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for bcc tungsten (W) using the PBE functional. |
Python Source Code - 9.7 KB -
MD5: 909e09dcb3b0c71f7dd3e4fc757ee7b4
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Python Source Code - 30.1 KB -
MD5: aace71fb60917dfd7e45c7f6399badbd
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