colabfit / data-lake

A repository to request ingestion of datasets to ColabFit
https://colabfit.org/
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[Dataset submission/request]: liquids_polynomial_MLP #44

Open jvita opened 9 months ago

jvita commented 9 months ago

Name

Josh Vita

Email

vita1@llnl.gov

Dataset name

liquids_polynomial_MLP

Authors

Hayato Wakai, Atsuto Seko, Hirosato Izuta, Takayuki Nishiyama, Isao Tanaka

Publication link

https://arxiv.org/abs/2401.14877 since published under: https://doi.org/10.1103/PhysRevB.109.214207

Data link

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Additional links

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Dataset description

The training and test datasets for each elemental metal were generated as follows. First, we fully optimized the atomic positions and lattice constants of 86 prototype structures using the DFT calculation. They comprise single elements with the zero oxidation state from the Inorganic Crystal Structure Database (ICSD), including metallic closed-packed structures, covalent structures, layered structures, and structures reported as high pressure phases. Then, 13000–15000 structures were generated from the optimized prototype structures, and they were randomly divided into training and test datasets at a ratio of nine to one. Each structure was constructed by randomly introducing lattice expansions, lattice distortions, and atomic displacements into a supercell of an optimized prototype structure. No structural data in liquid states, such as structural trajectories in MD simulations at high temperatures, were used to develop the polynomial MLPs.

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Software

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Software version(s)

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Additional details

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Property details

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Elements

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Number of Configurations

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gpwolfe commented 3 months ago

Contacted A. Seko, as previous contact for related dataset