Unveiling rare earth dopant configurations and crystal field analysis in tetragonal BaTiO <sub>3</sub> <i>via</i> machine learning and superposition modeling

20261 citationsJournal Article

Authors

Osman Yigit · Rutgers, The State University of New Jersey

Muhammed Acikgoz · SUNY Maritime College

Abstract

Machine-learning structural optimization combined with crystal-field modeling reveals systematic site preference, lattice distortion, and stabilization trends across the full rare-earth series in BaTiO 3 .

Topics & Keywords

Machine Learning in Materials Science Block Copolymer Self-Assembly Model Reduction and Neural Networks

Publication Details

Published in: Journal of Materials Chemistry C

DOI: 10.1039/d5tc03420e

Field-Weighted Citation Impact: 17.56

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Unveiling rare earth dopant configurations and crystal field analysis in tetragonal BaTiO <sub>3</sub> <i>via</i> machine learning and superposition modeling

Authors

Abstract

Topics & Keywords

Publication Details