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The data consists of several NumPy arrays saved in the binary format (npy files) with a total size of 108 MB. The details of these files are listed below. Filename and path Description training/azo_R.npy Coordinates for training training/azo_Z.npy Atomic indices for training training/azo_E.npy Molecular energies for training training/azo_D.npy Transition dipoles for training training/azo_ScaledNACR.npy Non-adiabatic coupling vectors scaled by energy difference for training scan/azo_R.npy Coordinates for PES scan scan/azo_Z.npy Atomic indices for PES scan scan/azo_E.npy Molecular energies for PES scan scan/azo_D.npy Transition dipoles for PES scan scan/azo_ScaledNACR.npy Non-adiabatic coupling vectors scaled by energy difference for PES scan spectrum/azo_R.npy Coordinates for spectrum calculations spectrum/azo_Z.npy Atomic indices for spectrum calculations spectrum/azo_E.npy Molecular energies for spectrum calculations spectrum/azo_D.npy Transition dipoles for spectrum calculation
{"references": ["https://arxiv.org/abs/2306.02523"]}
The dataset is open-sourced under LA-UR-23-30660.
Chemistry, Machine learning
Chemistry, Machine learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 9 |

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