High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites
Abstract
ABO3 perovskites are oxide materials that are used for a variety of applications such as solid oxide fuel cells, piezo-, ferro-electricity and water splitting. Due to their remarkable stability with respect to cation substitution, new compounds for such applications potentially await discovery. In this work, we present an exhaustive dataset of formation energies of 5,329 cubic and distorted perovskites that were calculated using first-principles density functional theory. In addition to formation energies, several additional properties such as oxidation states, band gap, oxygen vacancy formation energy, and thermodynamic stability with respect to all phases in the Open Quantum Materials Database are also made publicly available. This large dataset for this ubiquitous crystal structure type contains 395 perovskites that are predicted to be thermodynamically stable, of which many have not yet been experimentally reported, and therefore represent theoretical predictions. In conclusion, the dataset thus opens avenues for future use, including materials discovery in many research-active areas.
- Authors:
-
- Northwestern Univ., Evanston, IL (United States). Dept. of Materials Science and Engineering
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1490970
- Grant/Contract Number:
- FG02-07ER46433; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Data
- Additional Journal Information:
- Journal Volume: 4; Journal ID: ISSN 2052-4463
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Emery, Antoine A., and Wolverton, Chris. High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites. United States: N. p., 2017.
Web. doi:10.1038/sdata.2017.153.
Emery, Antoine A., & Wolverton, Chris. High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites. United States. https://doi.org/10.1038/sdata.2017.153
Emery, Antoine A., and Wolverton, Chris. Tue .
"High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites". United States. https://doi.org/10.1038/sdata.2017.153. https://www.osti.gov/servlets/purl/1490970.
@article{osti_1490970,
title = {High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites},
author = {Emery, Antoine A. and Wolverton, Chris},
abstractNote = {ABO3 perovskites are oxide materials that are used for a variety of applications such as solid oxide fuel cells, piezo-, ferro-electricity and water splitting. Due to their remarkable stability with respect to cation substitution, new compounds for such applications potentially await discovery. In this work, we present an exhaustive dataset of formation energies of 5,329 cubic and distorted perovskites that were calculated using first-principles density functional theory. In addition to formation energies, several additional properties such as oxidation states, band gap, oxygen vacancy formation energy, and thermodynamic stability with respect to all phases in the Open Quantum Materials Database are also made publicly available. This large dataset for this ubiquitous crystal structure type contains 395 perovskites that are predicted to be thermodynamically stable, of which many have not yet been experimentally reported, and therefore represent theoretical predictions. In conclusion, the dataset thus opens avenues for future use, including materials discovery in many research-active areas.},
doi = {10.1038/sdata.2017.153},
journal = {Scientific Data},
number = ,
volume = 4,
place = {United States},
year = {2017},
month = {10}
}
Web of Science
Figures / Tables:

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