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| Configurations from CA-9 dataset used during validation step for NNP_CA-9 potential. CA-9 consists of configurations of carbon with curated subsets chosen to test the effects of intentionally choosing dissimilar configurations when training neural network potentials | [
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| null | null | null | -643.319647 | null | 3.24363 | 5.78506 | {"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"} | MD_1024398629573454165794357 | 2024-08-16T14:13:01 | 7646805681679818703446780077579293453532613155552218451715758305726432312796630006936065079988935890370124533316915144061454876470041359101088901233644255 | PO_7646805681679818703446780 | null | null | null | [
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| CC-BY-4.0 | {'source-publication': 'https://doi.org/10.1016/j.cartre.2021.100027', 'source-data': 'https://doi.org/10.24435/materialscloud:6h-yj', 'other': None} | 10.60732/5cebd981 | 6786253847045172955885803569588349709236592764831810371069539168969962232135226404189095846670960274765158990683864153553298533309101480717530898583437890 | DS_07zjrtacjg3z_0 | CA-9_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_07zjrtacjg3z_0 |
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