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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 | -554.583714 | null | 2.83107 | 5.43401 | {"input": {"encut": {"value": 520, "units": "eV"}}, "hash": "102439862957345416579435757980411251184715859364031590652706556386856859773466490977891980138017845683216054395454090990042136855050809363628328039055230", "id": "MD_1024398629573454165794357"} | MD_1024398629573454165794357 | 2024-08-16T15:17:06 | 4464020737446343107830446836533015655860244128262515842454381615642584836588899579642577052553120997364981376797939374937161708990833126511276268189805071 | PO_4464020737446343107830446 | null | null | null | [
"BR_training__138",
"BB_training__1725",
"RR_validation__1833",
"CA-9_validation__2742"
]
| [
"DS_fw7m5d8b0fa9_0",
"DS_l7inbtql4ea9_0",
"DS_mr2qaiqh2sx2_0",
"DS_07zjrtacjg3z_0"
]
| 2023-12-01T23:58:30 | 10163128569652033660317365720442327470872344852695185368774055779592203653390970548922911744280423585434892198758999288067001114277955247567809086777382244 | CO_1016312856965203366031736 | CA-9_validation | [
"Daniel Hedman",
"Tom Rothe",
"Gustav Johansson",
"Fredrik Sandin",
"J. Andreas Larsson",
"Yoshiyuki Miyamoto"
]
| 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 | [
"C"
]
| 1 | 8,000 | 8,000 | 436,601 | 0 | 8,000 | 0 | 8,000 | 0 | 8,000 | -468.657968 | 12,980.365193 | 0 | 2023-12-01T18:59:39 | [
[
1,
1,
1
]
]
| [
3
]
| 2023 | [
1
]
| 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 |
Dataset
CA-9 validation
Description
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
Additional details stored in dataset columns prepended with "dataset_".
Dataset authors
Daniel Hedman, Tom Rothe, Gustav Johansson, Fredrik Sandin, J. Andreas Larsson, Yoshiyuki Miyamoto
Publication
https://doi.org/10.1016/j.cartre.2021.100027
Original data link
https://doi.org/10.24435/materialscloud:6h-yj
License
CC-BY-4.0
Number of unique molecular configurations
8000
Number of atoms
436601
Elements included
C
Properties included
energy, atomic forces, cauchy stress
Cite this dataset
Hedman, D., Rothe, T., Johansson, G., Sandin, F., Larsson, J. A., and Miyamoto, Y. CA-9 validation. ColabFit, 2023. https://doi.org/10.60732/5cebd981
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