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chemical_formula_hill
string
chemical_formula_reduced
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chemical_formula_anonymous
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atomic_numbers
sequence
elements
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elements_ratios
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nelements
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atomic_forces
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atomization_energy
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cauchy_stress_volume_normalized
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energy
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formation_energy
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mean_force_norm
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dataset_energy_variance
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dataset_formation_energy_count
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C12H12N2O
C12H12N2O
A12B12C2D
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MD_1086845055867124744315202
2024-08-16T14:59:17
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MD_1306464218660157737489198
null
[ "test_1200K_1894" ]
[ "DS_xaasqmrdv28s_0" ]
2023-12-01T23:03:55
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
A12B12C2D
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MD_1086845055867124744315202
2024-08-16T14:35:42
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MD_1224275081119464409168543
null
[ "test_1200K_1667" ]
[ "DS_xaasqmrdv28s_0" ]
2023-12-01T23:03:55
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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10.60732/397ba16b
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
A12B12C2D
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MD_1086845055867124744315202
2024-08-16T14:41:38
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MD_3747643317157116744472740
null
[ "test_1200K_392" ]
[ "DS_xaasqmrdv28s_0" ]
2023-12-01T23:03:55
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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2023-12-01T18:04:16
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10.60732/397ba16b
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
A12B12C2D
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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[ "test_1200K_1651" ]
[ "DS_xaasqmrdv28s_0" ]
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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[ "test_1200K_768" ]
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "test_1200K_7" ]
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "test_1200K_686" ]
[ "DS_xaasqmrdv28s_0" ]
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
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2024-08-16T14:19:06
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[ "test_1200K_1219" ]
[ "DS_xaasqmrdv28s_0" ]
2023-12-01T23:03:55
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
A12B12C2D
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MD_1086845055867124744315202
2024-08-16T14:49:29
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MD_3801217004379739025996609
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[ "test_1200K_1911" ]
[ "DS_xaasqmrdv28s_0" ]
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
A12B12C2D
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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2023-12-01T23:03:55
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "test_1200K_1433" ]
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "test_1200K_241" ]
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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[ "test_1200K_318" ]
[ "DS_xaasqmrdv28s_0" ]
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3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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2023-12-01T23:03:55
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[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
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MD_1086845055867124744315202
2024-08-16T15:14:12
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MD_5830428817404359370524192
null
[ "test_1200K_1734" ]
[ "DS_xaasqmrdv28s_0" ]
2023-12-01T23:03:55
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CO_8699327770100535321818518
3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "O" ]
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2023-12-01T18:04:16
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2023
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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
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DS_xaasqmrdv28s_0
3BPA_test_1200K__Kovács-Oord-Kucera-Allen-Cole-Ortner-Csányi__DS_xaasqmrdv28s_0
C12H12N2O
C12H12N2O
A12B12C2D
[ 6, 6, 6, 1, 6, 8, 7, 7, 1, 1, 6, 1, 1, 6, 6, 1, 1, 6, 6, 6, 1, 6, 1, 6, 1, 1, 1 ]
[ "C", "H", "N", "O" ]
[ 0.4444444444444444, 0.4444444444444444, 0.07407407407407407, 0.037037037037037035 ]
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ORCA
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MD_1086845055867124744315202
2024-08-16T15:22:34
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MD_1264655864644276178291726
null
[ "test_1200K_2054" ]
[ "DS_xaasqmrdv28s_0" ]
2023-12-01T23:03:55
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CO_1050323585253968868624497
3BPA_test_1200K
[ "Dávid Péter Kovács", "Cas van der Oord", "Jiri Kucera", "Alice E. A. Allen", "Daniel J. Cole", "Christoph Ortner", "Gábor Csányi" ]
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.
[ "C", "H", "N", "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
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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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