Crystal structural prediction of perovskite materials using machine learning: A comparative study

In this study, Machine Learning (ML) techniques have been exploited to classify the crystal structure of ABO3 perovskite compounds. In the present work, seven different ML algorithms are applied to the experimentally determined crystal structure data. The relevance of the data featured is measured b...

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Veröffentlicht in:	Solid state communications Jg. 361; S. 115062
Hauptverfasser:	Priyadarshini, Rojalina, Joardar, Hillol, Bisoy, Sukant Kishoro, Badapanda, Tanmaya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.02.2023
Schlagworte:	Boosting algorithms K-nearest neighborhood Machine learning Perovskite XGBoost K-nearest neighborhood Perovskite XGBoost Machine learning Boosting algorithms
ISSN:	0038-1098
Online-Zugang:	Volltext
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