Dataset

Mg_edmonds_2022



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Name Mg_edmonds_2022
Extended ID Mg_edmonds_2022_Poul__DS_3ldikbbjxirh_0
Description 16748 configurations of magnesium with gathered energy, stress and forces at the DFT level of theory.
Authors Marvin Poul
Elements Mg (100.0%)
Number of Data Objects 16,748
Number of Configurations 16,748
Number of Atoms 78,249
Links https://github.com/eisenforschung/magnesium-mtp-training-data
https://doi.org/10.17617/3.A3MB7Z
https://arxiv.org/abs/2207.04009
https://doi.org/10.1103/PhysRevB.107.104103
Configuration Sets by Name mg_edmonds_2022_CellMin — Configurations from mg_edmonds_2022 in CellMin dataset
mg_edmonds_2022_Everything — Configurations from mg_edmonds_2022 in Everything dataset (defined by dataset author)
mg_edmonds_2022_EverythingNoShear — Configurations from mg_edmonds_2022 in EverythingNoShear dataset
mg_edmonds_2022_Hydro — Configurations from mg_edmonds_2022 in Hydro dataset
mg_edmonds_2022_IntMin — Configurations from mg_edmonds_2022 in IntMin dataset
mg_edmonds_2022_RandSPG — Configurations from mg_edmonds_2022 in RandSPG dataset
mg_edmonds_2022_Rattle — Configurations from mg_edmonds_2022 in Rattle dataset
mg_edmonds_2022_Shear — Configurations from mg_edmonds_2022 in Shear dataset
mg_edmonds_2022_VolMin — Configurations from mg_edmonds_2022 in VolMin dataset
Configuration Sets by ID CS_blkrol9cvhjp_0
CS_255f50sxz1t2_0
CS_lyc958mpmi8c_0
CS_gykwycw8wty5_0
CS_kubs61iuyoqk_0
CS_1i6ptcj8w81w_0
CS_uhvofbrr00rv_0
CS_wp3dpexhd760_0
CS_xyxe9r7pktq1_0
Data Objects Too many to display
ColabFit ID DS_3ldikbbjxirh_0
Files colabfitspec.json

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