Inverse analysis of anisotropy of solid-liquid interfacial free energy based on machine learning

Kim, Geunwoo; Yamada, Ryo; Takaki, Tomohiro; Shibuta, Yasushi; Ohno, Munekazu

doi:10.1016/j.commatsci.2022.111294


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Inverse analysis of anisotropy of solid-liquid interfacial free energy based on machine learning

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/92149

Title:	Inverse analysis of anisotropy of solid-liquid interfacial free energy based on machine learning
Authors:	Kim, Geunwoo Browse this author
	Yamada, Ryo Browse this author
	Takaki, Tomohiro Browse this author
	Shibuta, Yasushi Browse this author
	Ohno, Munekazu Browse this author →KAKEN DB
Keywords:	Solid-liquid interfacial free energy
	Anisotropy
	Interface shape distribution
	Phase-field simulation
	Machine learning
Issue Date:	May-2022
Publisher:	Elsevier
Journal Title:	Computational materials science
Volume:	207
Start Page:	111294
Publisher DOI:	10.1016/j.commatsci.2022.111294
Abstract:	A machine leaning-based approach is proposed for the inverse analysis of the anisotropy parameters of solid -liquid interfacial free energy. The interface shape distribution (ISD) map, which characterizes the details of the dendrite morphology, was selected as the input of a convolutional neural network (CNN). The ISD maps for a free-growing dendrite during the isothermal solidification of a model alloy system were obtained by quantitative phase-field simulations and used as the training and test data for the CNN. Two anisotropy parameters were estimated with errors of less than 5%, which can be further improved by increasing the size of the training dataset.
Rights:	©2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Rights:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Type:	article (author version)
URI:	http://hdl.handle.net/2115/92149
Appears in Collections:	工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 大野宗一

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