Dataset

Nb_PRM2019




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Name :
Nb_PRM2019
ColabFit ID :
Description :
This dataset was designed to enable machine-learning of Nb elastic, thermal, and defect properties, as well as surface energetics, melting, and the structure of the liquid phase. The dataset was constructed by starting with the dataset from J. Byggmästar et al., Phys. Rev. B 100, 144105 (2019), then rescaling all of the configurations to the correct lattice spacing and adding in gamma surface configurations.
Authors :
Jesper Byggmästar, Kai Nordlund, Flyura Djurabekova
DOI :
10.60732/a90f7f6e https://commons.datacite.org/doi.org/10.60732/a90f7f6e https://doi.datacite.org/dois/10.60732%2Fa90f7f6e https://doi.org/10.60732/a90f7f6e Cite as: Byggmästar, J., Nordlund, K., and Djurabekova, F. "Nb PRM2019." ColabFit, 2023. https://doi.org/10.60732/a90f7f6e.
For other citation formats, see the DataCite Fabrica page for this dataset.
Num. Configurations :
3,787
Num. Atoms :
45,641
Downloads :
18
Calculated Property Types :
atomic_forces cauchy_stress energy
Elements :
Nb (100.0%)
Methods :
DFT-PBE
Software :
VASP
Configuration Sets by Name :
Configuration Sets by ID :

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