Study of the switching dynamics of ferroelectric domains using Deep learning Data and Results
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This dataset and results accompany the work presented at the International Materials Research Congress 2026 (IMRC 2026). The research demonstrates that the evolution of ferroelectric domains in BiFeO₃ thin films under electrical switching is both identifiable and predictable using deep learning. This dataset and associated code are part of the ongoing research for a Master's thesis in Data Science at TecNM Querétaro. Please contact the author for permission or further details regarding the work in progress.
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Zenodo创建时间:
2026-07-18



