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Title: Data for: "Data efficiency and extrapolation trends in neural network interatomic potentials"

Abstract

Data to reproduce the paper "Data efficiency and extrapolation trends in neural network interatomic potentials" (LLNL-JRNL-845001). Contains: plots, results, and visualization scripts. Preprint available at https://doi.org/10.48550/arXiv.2302.05823.

Authors:
;
  1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); PLS/MSD
  2. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Publication Date:
Other Number(s):
LLNL-MI-852928
DOE Contract Number:  
AC52-07NA27344
Research Org.:
LLNL-IPO (LLNL Innovation and Partnerships Office (IPO))
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
2335917
DOI:
https://doi.org/10.11579/2335917

Citation Formats

Schwalbe Koda, Daniel, and Vita, Joshua. Data for: "Data efficiency and extrapolation trends in neural network interatomic potentials". United States: N. p., 2022. Web. doi:10.11579/2335917.
Schwalbe Koda, Daniel, & Vita, Joshua. Data for: "Data efficiency and extrapolation trends in neural network interatomic potentials". United States. doi:https://doi.org/10.11579/2335917
Schwalbe Koda, Daniel, and Vita, Joshua. 2022. "Data for: "Data efficiency and extrapolation trends in neural network interatomic potentials"". United States. doi:https://doi.org/10.11579/2335917. https://www.osti.gov/servlets/purl/2335917. Pub date:Sat Dec 31 23:00:00 EST 2022
@article{osti_2335917,
title = {Data for: "Data efficiency and extrapolation trends in neural network interatomic potentials"},
author = {Schwalbe Koda, Daniel and Vita, Joshua},
abstractNote = {Data to reproduce the paper "Data efficiency and extrapolation trends in neural network interatomic potentials" (LLNL-JRNL-845001). Contains: plots, results, and visualization scripts. Preprint available at https://doi.org/10.48550/arXiv.2302.05823.},
doi = {10.11579/2335917},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Dec 31 23:00:00 EST 2022},
month = {Sat Dec 31 23:00:00 EST 2022}
}