Description
Funding Information
DOE Contract Number
DE-AC05-00OR22725Originating Research Organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Other Contributing Organizations
National Energy Research Scientific Computing CenterSponsoring Organization
Office of Science (SC)Project Identifier
LRN026, STF006Related Works
- IsCitedBy (DOI): https://doi.org/10.26434/chemrxiv.15004330/v1
- IsContinuedBy (DOI): https://doi.org/10.13139/ORNLNCCS/3366593
Details
Release Date
December 9, 2024Subject
ATOMIC AND MOLECULAR PHYSICS, CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS, CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY, INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY, MATERIALS SCIENCEKeywords
First Principles, Machine Learning, Solid Solution Alloys, Density Functional TheoryDataset
Dataset Type
ND Numeric DataSoftware
PythonCite This Dataset:
Rogers, D., Lupo Pasini, M., Choi, J., Samolyuk, G., Yang, Y. (2024). VZr_BCC_SolidSolution_128atoms_VASP6. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/2473294.
Acknowledgements
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.