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    Linking structure and process in dendritic growth using persistent homology with energy analysis

    Linking structure and process in dendritic growth using persistent homology with energy analysis by Misato Tone, Shunsuke Sato, Sotaro Kunii, Ippei Obayashi, Yasuaki Hiraoka, Yui Ogawa, Hirokazu Fukidome, Alexandre Lira Foggiatto, Chiharu Mitsumata, Ryunosuke Nagaoka, Arpita Varadwaj, Iwao Matsuda, Masato Kotsugi

    Published 2025-12-01

    We present a material analysis method that links structure and process in dendritic growth using explainable machine learning approaches. We employed persistent homology (PH) to quantitatively characterize the morphology of dendritic microstructures. By using interpretable machine learning with ener...

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