Dataset

Transition1x_train




Species content of dataset


Dataset viewer powered by Hugging Face

Name :
Transition1x_train
ColabFit ID :
Description :
The training split of the Transition1x dataset. Transition1x is a benchmark dataset containing 9.6 million Density Functional Theory (DFT) calculations of forces and energies of molecular configurations on and around reaction pathways at the ωB97x/6-31 G(d) level of theory. The configurations contained in this dataset allow a better representation of features in transition state regions when compared to other benchmark datasets -- in particular QM9 and ANI1x.
Authors :
Mathias Schreiner, Arghya Bhowmik, Tejs Vegge, Jonas Busk, Ole Winther
DOI :
10.60732/b1104cc5 https://commons.datacite.org/doi.org/10.60732/b1104cc5 https://doi.datacite.org/dois/10.60732%2Fb1104cc5 https://doi.org/10.60732/b1104cc5 Cite as: Schreiner, M., Bhowmik, A., Vegge, T., Busk, J., and Winther, O. "Transition1x train." ColabFit, 2023. https://doi.org/10.60732/b1104cc5.
For other citation formats, see the DataCite Fabrica page for this dataset.
Num. Configurations :
62,988
Num. Atoms :
535,993
Downloads :
38
Calculated Property Types :
atomic_forces cauchy_stress energy
Elements :
C (23.5%) H (32.52%) N (34.0%) O (9.97%)
Methods :
DFT-ωB97X
Software :
ORCA 5.0.2
Configuration Sets by Name :
Configuration Sets by ID :

No uploaded content is transferred in ownership from the original creators to ColabFit. All content is distributed under the license specified by its contributor who has stated that he or she has the authority to share it under the specified license.