Dataset

23-Single-Element-DNPs_RSCDD_2023-Mg



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Name 23-Single-Element-DNPs_RSCDD_2023-Mg
Extended ID 23-Single-Element-DNPs_RSCDD_2023-Mg_AndolinaSaidi__DS_mevqyitwxukc_0
Description Configurations of Mg from Andolina & Saidi, 2023. One of 23 minimalist, curated sets of DFT-calculated properties for individual elements for the purpose of providing input to machine learning of deep neural network potentials (DNPs). Each element set contains on average ~4000 structures with 27 atoms per structure. Configuration metadata includes Materials Project ID where available, as well as temperatures at which MD trajectories were calculated.These temperatures correspond to the melting temperature (MT) and 0.25*MT for elements with MT < 2000K, and MT, 0.6*MT and 0.25*MT for elements with MT > 2000K.
Authors Christopher M. Andolina
Wissam A. Saidi
DOI 10.60732/f4d2f0b8
https://commons.datacite.org/doi.org/10.60732/f4d2f0b8
https://doi.datacite.org/dois/10.60732%2Ff4d2f0b8
https://doi.org/10.60732/f4d2f0b8

Cite as: Andolina, C. M., and Saidi, W. A. "23-Single-Element-DNPs RSCDD 2023-Mg." ColabFit, 2023. https://doi.org/10.60732/f4d2f0b8.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements Mg (100.0%)
Number of Data Objects 3,004
Number of Configurations 3,004
Number of Atoms 58,567
Links https://github.com/saidigroup/23-Single-Element-DNPs
https://doi.org/10.1039/D3DD00046J
Configuration Sets by Name 23-Single-Element-DNPs_RSCDD_2023_Mg_initial — Initial training configurations of Mg from 23-Single-Element-DNPs_RSCDD_2023
23-Single-Element-DNPs_RSCDD_2023_Mg_adaptive — Adaptive training configurations of Mg from 23-Single-Element-DNPs_RSCDD_2023
Configuration Sets by ID CS_t72gp89hpcrc_0
CS_ib290jimufd3_0
Data Objects
ColabFit ID DS_mevqyitwxukc_0
Files colabfitspec.json

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