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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
Persistent homology
free energy analysis
structure-to-property linkage
dendrite growth
Online Access:https://www.tandfonline.com/doi/10.1080/27660400.2025.2475735
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