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| Test configurations with MD simulations performed at 1200K from 3BPA, used to showcase the performance of linear atomic cluster expansion (ACE) force fields in a machine learning model to predict the potential energy surfaces of organic molecules. | [
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"O"
]
| 4 | 2,139 | 2,139 | 57,753 | 0 | 2,139 | 0 | 2,139 | 0 | 2,139 | -17,657.384151 | 0.43537 | 0 | 2023-12-01T18:04:16 | [
[
1,
1,
1
]
]
| [
3
]
| 2023 | [
0.4444444444444444,
0.4444444444444444,
0.07407407407407407,
0.037037037037037035
]
| CC-BY-4.0 | {'source-publication': 'https://doi.org/10.1021/acs.jctc.1c00647', 'source-data': 'https://doi.org/10.1021/acs.jctc.1c00647', 'other': None} | 10.60732/397ba16b | 7899875445740390853525518874950735106564511781852407552402574170731136271469827544313302924695625801383632045682941220070723492003297862187522002740424720 | DS_xaasqmrdv28s_0 | 3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0 |
Dataset
3BPA test 1200K
Description
Test configurations with MD simulations performed at 1200K from 3BPA, used to showcase the performance of linear atomic cluster expansion (ACE) force fields in a machine learning model to predict the potential energy surfaces of organic molecules.
Additional details stored in dataset columns prepended with "dataset_".
Dataset authors
Dávid Péter Kovács, Cas van der Oord, Jiri Kucera, Alice E. A. Allen, Daniel J. Cole, Christoph Ortner, Gábor Csányi
Publication
https://doi.org/10.1021/acs.jctc.1c00647
Original data link
https://doi.org/10.1021/acs.jctc.1c00647
License
CC-BY-4.0
Number of unique molecular configurations
2139
Number of atoms
57753
Elements included
C, H, N, O
Properties included
energy, atomic forces, cauchy stress
Cite this dataset
Kovács, D. P., Oord, C., Kucera, J., Allen, A. E. A., Cole, D. J., Ortner, C., and Csányi, G. 3BPA test 1200K. ColabFit, 2023. https://doi.org/10.60732/397ba16b
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