Established 2026 · AI-Driven Materials & Energy Systems
Artificial intelligence for optimized novel materials.
Kangwon National University · Department of Battery Convergence Engineering
01 / Research focusAI × Materials × Energy
Welcome to AION Lab
AION Lab develops artificial-intelligence-enabled computational methods to discover energy materials, diagnose energy systems, and reveal the mechanisms that govern their performance and degradation.
AION Lab은 인공지능과 계산과학을 결합하여 새로운 에너지 소재를 탐색하고, 에너지 시스템의 상태를 진단하며, 성능과 열화를 지배하는 메커니즘을 규명합니다.
Recent NewsLab updates →
Joined Kangwon National University as an Assistant Professor
Outstanding Thesis Award by the KSME CAE and Applied Mechanics Division
Recent PapersAll publications →
Vacancy-Induced Ligand-Hole Character Redirects Oxygen Redox in Li-Rich Layered Oxides
J. Jeong†, D. Choi†, L. Lyu, S. Kang, G.-H. Lee, H. Kim, W. Yang and Y.-M. Kang*
Journal of the American Chemical Society, 2026Multiscale epoxy fracture prediction through DFT-coupled probabilistic bond scission molecular dynamics
H Kim†, H. Kim*, J. Yu*, H. Park*
Results in Engineering 32, 112549, 2026Bottom-Up Redox State Engineering of Ni/GDC Thin-Film Anodes for Carbon Tolerant Syngas-Fueled SOFCs
I. Jeong†, D. Gil, M. S. Lee, Y. Jang, Y. Kim, S. Ko, J. Choi, S. Choi, J. Hwang, H. Kim*, and S. W. Cha*
Journal of Materials Chemistry A 14(37), 24926–24939, 2026