Dataset

ANI-1xnr




Species content of dataset



Name ANI-1xnr
Extended ID ANI-1xnr__Zhang-Makos-Jadrich-Kraka-Barros-Nebgen-Tretiak-Isayev-Lubbers-Messerly-Smith__DS_elj5dyxwg3mw_0
Description ANI-1xnr was developed to train the ANI-1xnr model, intended to model reactive chemistry. Specifically, ANI-1xnr is meant to represent carbon solid-phase nucleation, graphene ring formation from acetylene, biofuel additives, combustion of methane and the spontaneous formation of glycine from early earth small molecules. The dataset was generated using an active learning method in which ab initio nanoreactor simulations supplied MLIP training; the MLIP was subsequently tested and new simulations were generated based on structures tested with high uncertainty to supply the next cycle of MLIP training.
Authors Shuhao Zhang
Małgorzata Z. Makoś
Ryan B. Jadrich
Elfi Kraka
Kipton Barros
Benjamin T. Nebgen
Sergei Tretiak
Olexandr Isayev
Nicholas Lubbers
Richard A. Messerly
Justin S. Smith
DOI 10.60732/ad56ac0a
https://commons.datacite.org/doi.org/10.60732/ad56ac0a
https://doi.datacite.org/dois/10.60732%2Fad56ac0a
https://doi.org/10.60732/ad56ac0a

Cite as: Zhang, S., Makoś, M. Z., Jadrich, R. B., Kraka, E., Barros, K., Nebgen, B. T., Tretiak, S., Isayev, O., Lubbers, N., Messerly, R. A., and Smith, J. S. "ANI-1xnr." ColabFit, 2025. https://doi.org/10.60732/ad56ac0a.
For other citation formats, see the DataCite Fabrica page for this dataset.
Calculated Property Types atomic_forces
energy
Elements
C (20.46%)
H (31.97%)
N (24.45%)
O (23.13%)
Number of Configurations 196,550
Number of Atoms 27,209,270
Publication Link https://doi.org/10.1038/s41557-023-01427-3
Data Source Link https://doi.org/10.6084/m9.figshare.22814579
Configuration Sets by Name
Configuration Sets by ID
ColabFit ID DS_elj5dyxwg3mw_0
Downloads 0
Files colabfitspec.json

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