Predicting the formation of fractionally doped perovskite oxides by a function-confined machine learning method
Fractionally doped perovskites oxides (FDPOs) have demonstrated ubiquitous applications such as energy conversion, storage and harvesting, catalysis, sensor, superconductor, ferroelectric, piezoelectric, magnetic, and luminescence. Hence, an accurate, cost-effective, and easy-to-use methodology to d...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer Nature
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |