Dataset

DeePMD-SE



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Name DeePMD-SE
Extended ID DeePMD-SE_ZhangHanWangSaidiCarE__DS_kotuk00qiuog_0
Description 127,000 configurations from a dataset used to benchmark and train a modified DeePMD model called DeepPot-SE, or Deep Potential - Smooth Edition
Authors Linfeng Zhang
Jiequn Han
Han Wang
Wissam A. Saidi
Roberto Car
Weinan E
Elements C (11.66%)
H (11.66%)
N (2.33%)
Mo (5.98%)
Pt (7.98%)
S (11.96%)
Si (9.92%)
Al (2.06%)
O (12.86%)
Co (1.64%)
Cr (1.64%)
Fe (1.64%)
Mn (1.64%)
Ni (1.64%)
Ti (4.89%)
Ge (7.35%)
Cu (3.17%)
Number of Data Objects 126,636
Number of Configurations 126,793
Number of Atoms 26,235,685
Links https://www.aissquare.com/datasets/detail?pageType=datasets&name=deepmd-se-dataset
https://doi.org/10.48550/arXiv.1805.09003
Configuration Sets by Name DeePMD-SE-Al2O3 — Al2O3 configurations from DeePMD-SE dataset
DeePMD-SE-Cu — Cu configurations from DeePMD-SE dataset
DeePMD-SE-Ge — Ge configurations from DeePMD-SE dataset
DeePMD-SE-HEA — CoCrFeMnNi high entropy alloy (HEA) configurations from DeePMD-SE dataset
DeePMD-SE-MoS2-Pt — MoS2 + Pt configurations from DeePMD-SE dataset
DeePMD-SE-pyridine — Pyridine configurations from DeePMD-SE dataset
DeePMD-SE-Si — Si configurations from DeePMD-SE dataset
DeePMD-SE-TiO2 — TiO2 configurations from DeePMD-SE dataset
Configuration Sets by ID CS_clc5f7ldq3bg_0
CS_wo33d0f404e1_0
CS_hlx15kwu89ss_0
CS_gaixgpar3z1r_0
CS_96zqmd77zf16_0
CS_021y2g940wwo_0
CS_e87bbwr1ov8m_0
CS_fs9v5mduorfk_0
Data Objects Too many to display
ColabFit ID DS_kotuk00qiuog_0
Files colabfitspec.json

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