GST_GAP_22_refitted
收藏DataCite Commons2024-03-28 更新2024-07-13 收录
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https://materials.colabfit.org/id/DS_jy3ylaf48xg3_0
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资源简介：
The training dataset for GST_GAP_22, recalculated using the PBE functional. GST-GAP-22 contains configurations of phase-change materials on the quasi-binary GeTe-Sb2Te3 (GST) line of chemical compositions. Data was used for training a machine learning interatomic potential to simulate a range of germanium-antimony-tellurium compositions under realistic device conditions.
提供机构：
ColabFit
创建时间：
2024-03-28
