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string | dataset_name
string | dataset_authors
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| Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB 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 | -617.521929 | null | 2.663224 | 4.934416 | {"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"} | MD_1024398629573454165794357 | 2024-08-16T15:17:10 | 5379510630520576780393673590942577662949178972934119920371503159834392365486299459917186104932549081272000833183809151098840755279258746868339369914305632 | PO_5379510630520576780393673 | null | null | null | [
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| Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB 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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| Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB 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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| Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB 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 | -483.012072 | null | 3.638046 | 7.289434 | {"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"} | MD_1024398629573454165794357 | 2024-08-16T14:51:55 | 1154034664845606273004502590104815229816123693326915343520421891566993343009062715327929847949167362910759397968684990389261160391682578439032327608963693 | PO_1154034664845606273004502 | null | null | null | [
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| 2023-12-01T23:56:38 | 5282513763790205871357157768223514403272055963048761820017864409113607021844025215394937130186557520290218511806961320671385815637322389615866784487826116 | CO_5282513763790205871357157 | CA-9_BB_validation | [
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| Binning-binning configurations from CA-9 dataset used during validation step for NNP_BB 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 | [
"C"
]
| 1 | 4,003 | 4,003 | 233,034 | 0 | 4,003 | 0 | 4,003 | 0 | 4,003 | -501.735936 | 10,202.734006 | 0 | 2023-12-01T18:52:50 | [
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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} | 10.60732/95c19122 | 9987403613029629768726893456954031024119887046898145763926846230248531061270033011778359623539974970922272163569034827090035859539661759104921473348571593 | DS_8zft35i5sbgd_0 | CA-9_BB_validation__Hedman-Rothe-Johansson-Sandin-Larsson-Miyamoto__DS_8zft35i5sbgd_0 |
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