Uncertainty Driven Dynamics for Active Learning of Interatomic Potentials. Glycine and Acetylacetone Data.

Kulichenko, Maksim

Description

Data generated and analyzed in M.Kulichenko et. al. Uncertainty Driven Dynamics for Active Learning of Interatomic Potentials. Nat. Comput. Sci (2023). Glycine data sets (MD-AL and UDD-AL). Acetylacetone MD and UDD trajectories. See README.md for details.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

79%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Spectroscopy

Field

Chemistry

Domain

Physical Sciences

Confidence Score

95%

Source

Open Alex

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00