Geunwoo Kim

Hokkaido University

H-index: 2

Asia-Japan

About Geunwoo Kim

Geunwoo Kim, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Hokkaido University, specializes in the field of Solidification, Phase-field simulation, Dendritic Growth, Interface anisotropy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Morphological diversity in directionally-solidified microstructures with varying anisotropy of solid-liquid interfacial free energy

Time evolution of interface shape distribution of equiaxed dendrite: A phase-field study

Time invariance of three-dimensional morphology of equiaxed dendrite: A phase-field study

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

Geunwoo Kim Information

University	Hokkaido University
Position	___
Citations(all)	20
Citations(since 2020)	20
Cited By	8
hIndex(all)	2
hIndex(since 2020)	2
i10Index(all)	1
i10Index(since 2020)	1
Email	Access Email
University Profile Page	Hokkaido University
Google Scholar	View Google Scholar Profile

Geunwoo Kim Skills & Research Interests

Solidification

Phase-field simulation

Dendritic Growth

Interface anisotropy

Top articles of Geunwoo Kim

Title	Journal	Author(s)	Publication Date
Morphological diversity in directionally-solidified microstructures with varying anisotropy of solid-liquid interfacial free energy	Journal of Materials Research and Technology	Geunwoo Kim Tomohiro Takaki Yasushi Shibuta Hyunseok Ko Munekazu Ohno	2024/4/16
Time evolution of interface shape distribution of equiaxed dendrite: A phase-field study	IOP Conference Series: Materials Science and Engineering	Munekazu Ohno Mikihiro Kudo Geunwoo Kim Ryo Yamada Yasushi Shibuta ...	2023
Time invariance of three-dimensional morphology of equiaxed dendrite: A phase-field study	Computational materials science	Ryo Yamada Mikihiro Kudo Geunwoo Kim Tomohiro Takaki Yasushi Shibuta ...	2022/3/1
Inverse analysis of anisotropy of solid-liquid interfacial free energy based on machine learning	Computational Materials Science	Geunwoo Kim Ryo Yamada Tomohiro Takaki Yasushi Shibuta Munekazu Ohno	2022/5/1