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+ ---
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+ configs:
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+ - config_name: default
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+ data_files: "main/*.parquet"
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+ license: gpl-3.0
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+ tags:
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+ - molecular dynamics
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+ - mlip
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+ - interatomic potential
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+ pretty_name: SIMPLE NN SiO2
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+ ---
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+ # Dataset
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+ SIMPLE NN SiO2
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+ ### Description
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+ 10,000 configurations of SiO2 used as an example for the SIMPLE-NN machine learning model. Dataset includes three types of crystals: quartz, cristobalite and tridymite; amorphous; and liquid phase SiO2. Structures with distortion from compression, monoaxial strain and shear strain were also included in the training set.
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+ <br>Additional details stored in dataset columns prepended with "dataset_".
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+ ### Dataset authors
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+ Kyuhyun Lee, Dongsun Yoo, Wonseok Jeong, Seungwu Han
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+ ### Publication
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+ https://doi.org/10.1016/j.cpc.2019.04.014
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+ ### Original data link
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+ https://doi.org/10.17632/pjv2yr7pvr.1
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+ ### License
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+ gpl-3.0
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+ ### Number of unique molecular configurations
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+ 10000
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+ ### Number of atoms
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+ 600000
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+ ### Elements included
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+ O, Si
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+ ### Properties included
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+ energy, atomic forces, cauchy stress
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+ ### Cite this dataset
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+ Lee, K., Yoo, D., Jeong, W., and Han, S. _SIMPLE NN SiO2_. ColabFit, 2023. https://doi.org/10.60732/9903bf08