Dataset

23-Single-Element-DNPs_RSCDD_2023-I



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Name 23-Single-Element-DNPs_RSCDD_2023-I
Extended ID 23-Single-Element-DNPs_RSCDD_2023-I_AndolinaSaidi__DS_gc1y80tpyylb_0
Description Configurations of I 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 10.60732/57c54149
https://commons.datacite.org/doi.org/10.60732/57c54149
https://doi.datacite.org/dois/10.60732%2F57c54149
https://doi.org/10.60732/57c54149

Cite as: Andolina, C. M., and Saidi, W. A. "23-Single-Element-DNPs RSCDD 2023-I." ColabFit, 2023. https://doi.org/10.60732/57c54149.
For other citation formats, see the DataCite Fabrica page for this dataset.
Elements I (100.0%)
Number of Data Objects 4,532
Number of Configurations 4,532
Number of Atoms 115,902
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_I_initial — Initial training configurations of I from 23-Single-Element-DNPs_RSCDD_2023
23-Single-Element-DNPs_RSCDD_2023_I_adaptive — Adaptive training configurations of I from 23-Single-Element-DNPs_RSCDD_2023
Configuration Sets by ID CS_ci38u3u6zxtz_0
CS_9zodxnphn45f_0
Data Objects
ColabFit ID DS_gc1y80tpyylb_0
Files colabfitspec.json

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