[Publication] Machine-Learning for SuperAlloys
by Byeong-Joo Lee posted Jul 20, 2025
'Multiscale Computational Framework Linking Alloy Composition to Microstructure Evolution via Machine Learning and Nanoscale Analysis,'
Jaemin Wang, Hyeonseok Kwon, Sang-Ho Oh, Jae Heung Lee, Dae Won Yun,
Hyungsoo Lee, Seong-Moon Seo, Young-Soo Yoo, Hi Won Jeong, Hyoung Seop Kim,
Byeong-Joo Lee, NPJ Computational Materials (2025), accepted for publication.
Articles
- [Publication] Machine-Learning for SuperAlloys
- [Publication] M-L for Hydrogen Storage in TiMn2-Type Alloys
- [Congratulations] Prof. Won-Seok Ko at Korea University
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[Congratulations] Ma-Tae Lee - 2025 CALPHAD Poster Award
- [Publication] Understanding the Synergistic Co-Mo Effect in Maraging Steels
- [Publication] High Performance AM Phase Field Simulation
- [Publication] M-L Prediction of Solidification Range in Alloy Systems
- [Publication] Real Scale Monte Carlo Simulation
- [Publication] M-L Prediction of Evaporation during DED
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[Congratulations] 이지수, 금속재료학회 우수발표상
- [Publication] Ductility of Amorphous Al2O3
- [Publication] Diffusional Growth of Nb3Sn
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[Congratulations] Selected as a featured article by Nature Communications
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[Congratulations] 오상호, 금속재료학회 우수발표상
- [Publication] Machine-Learning Control of Porosity in AM
- [Publication] 2NNMEAM+Qeq Interatomic Potential for Al2O3
- [Publication] Volume expansion in anode materials for SIB
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[Congratulations] Sang-Ho Oh - 2023 CALPHAD Poster Award
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[Congratulations] 왕재민, 오상호, 이지수, 금속재료학회 우수발표상
- [Publication] Role of Ti in Diffusional Growth of Nb3Sn
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