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Materials data analysis and utilization
Multivariate temperature-series analysis of stress-induced ferroelectricity in SrTiO3: a machine learning approach with K-shape clustering and hierarchical Bayesian estimation
Hirotaka Manakaa Graduate School of Science and Engineering, Kagoshima University, Kagoshima, JapanCorrespondence[email protected]
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Kensei Toyodaa Graduate School of Science and Engineering, Kagoshima University, Kagoshima, JapanView further author information
& Yoko Miurab National Institute of Technology, Suzuka College, Suzuka, JapanView further author information
Article: 2342234
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Received 20 Jan 2024, Accepted 04 Apr 2024, Published online: 16 May 2024
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