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Se-Jong Kim

Korea Institute of Materials Science

Korea, Republic of (South Korea)

  • Korea Institute of Materials Science

SCHOLARLY PAPERS

3

DOWNLOADS

165

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Predicting Microstructural Evolution Based on Deformation History of A230 Alloy Using a Finite Element Method-Assisted Generative Model

Number of pages: 29 Posted: 10 May 2022
In Yong Moon, Jeyong Yu, Hi Won Jeong, Ho Won Lee, Se-Jong Kim, Young-Seok Oh, Jaimyun Jung, Sehyeok Oh and Seong-Hoon Kang
Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science and Korea Institute of Materials Science
Downloads 78 (816,709)

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Generative adversarial network, deep learning, Dynamic recrystallization, microstructure-based modeling, deformation history

2.

Prediction of Crater Formation in a Large Pulsed Electron Beam (Lpeb) Irradiation Process Using Deep Learning

Number of pages: 35 Posted: 20 Jun 2024
Mingi Oh, Yonghoon Lee, Hoheok Kim, Jaimyun Jung, Young-Seok Oh, Ho Won Lee, Seong-Hoon Kang, Se-Jong Kim, Jisoo Kim and Sehyeok Oh
Korea Institute of Materials Science, affiliation not provided to SSRN, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, affiliation not provided to SSRN and Korea Institute of Materials Science
Downloads 64 (933,592)

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Metals and alloys, mechanical properties, Computer simulations, Large pulsed electron beam (LPEB), Craters, Deep learning

3.

Unsupervised Learning-Based Segmentation of Microstructures in Hot Forged and Heat-treated TiAl Alloys

Number of pages: 40 Posted: 28 Apr 2026
Sang Hyun Oh, Hoheok Kim, Young-Seok Oh, Sehyeok Oh, Jun Seok Yoon, Jaimyun Jung, Jee Hyuk Ahn, Se-Jong Kim, Ho Won Lee, Ji-Hoon Kim and Seong-Hoon Kang
Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Korea Institute of Materials Science, Pusan National University and Korea Institute of Materials Science
Downloads 23 (1,470,786)

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TiAl, microstructure, Machine learning, Clustering, Segmentation, Gaussian mixture model