Jung, Jaimyun
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2

Data-driven Approach to Explore the Contribution of Process..:

Park, Jeong Min ; Jung, Jaimyun ; Lee, Seungyeon...
journal of Korean Powder Metallurgy Institute.  31 (2024)  2 - p. 137-145 , 2024
 
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4

Explainable machine learning for understanding and predicti..:

Lee, Jeong Ah ; Sagong, Man Jae ; Jung, Jaimyun..
Journal of Materials Research and Technology.  22 (2023)  - p. 413-423 , 2023
 
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6

Predicting microstructural evolution based on deformation h..:

Moon, In Yong ; Yu, Jeyong ; Jeong, Hi Won...
Materials Science and Engineering: A.  854 (2022)  - p. 143852 , 2022
 
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8

Asymmetry evolutions in microstructure and strain hardening..:

Wang, Wenke ; Chen, Wenzhen ; Jung, Jaimyun...
Materials Science and Engineering: A.  844 (2022)  - p. 143168 , 2022
 
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9

Importance of Microstructural Features in Bimodal Structure..:

Kim, Yongju ; Jung, Jaimyun ; Park, Hyung Keun.
Metals and Materials International.  29 (2022)  1 - p. 53-58 , 2022
 
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12

Effect of Tension Temperature on the Anisotropy of Tensile ..:

Wang, Wenke ; Jung, Jaimyun ; Cui, Chao...
Metals and Materials International.  29 (2022)  4 - p. 908-921 , 2022
 
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