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Machine learning for impurity charge-state transition levels in semiconductors from elemental properties using multi-fidelity datasets
Polak, Maciej P.; Jacobs, Ryan; Mannodi-Kanakkithodi, Arun; Chan, Maria K. Y.; Morgan, Dane
machine learning
foundry
Organizations
Foundry
Year
2022
Source Name
semiconductor_defectlevels
License
CC-BY 4.0
DOI
10.18126/ite0-3iah
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Dataset containing DFT-calculated defect charge state transition levels of 2910 semiconductor-impurity pairs