2 papers
eess.SP2025
Accelerating Battery Material Optimization through iterative Machine Learning
Seon-Hwa Lee, Insoo Ye, Changhwan Lee +4
The performance of battery materials is determined by their composition and the processing conditions employed during commercial-scale fabrication, where raw materials undergo comp…
cond-mat.mtrl-sci2025
Image-Guided Microstructure Optimization using Diffusion Models: Validated with Li-Mn-rich Cathode Precursors
Geunho Choi, Changhwan Lee, Jieun Kim +3
Microstructure often dictates materials performance, yet it is rarely treated as an explicit design variable because microstructure is hard to quantify, predict, and optimize. Here…