Machine Learning–enabled Identification of Material Phase Transitions Based on Experimental Data: Exploring Collective Dynamics in Ferroelectric Relaxors

Science advances - United States
doi 10.1126/sciadv.aap8672
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American Association for the Advancement of Science (AAAS)

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