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Yuki Sakai

Hokkaido University

5 Kita 8 Jonishi, Kita Ward

Hokkaido Prefecture

Sapporo, 060-0808

Japan

SCHOLARLY PAPERS

1

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59

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Machine-Learning Prediction for Solid–Liquid Interfacial Properties From Micrographs in Al–Cu and Fe–Mn Alloys

Number of pages: 17 Posted: 15 Dec 2025
Yuki Sakai and Munekazu Ohno
Hokkaido University and Hokkaido University
Downloads 59 (980,173)

Abstract:

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Solid-liquid interfacial energy, Anisotropy parameter, Machine learning, Phase-field simulation, solidification