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cond-mat.mtrl-sci2026
EGMOF: Efficient Generation of Metal-Organic Frameworks Using a Hybrid Diffusion-Transformer Architecture
Seunghee Han, Yeonghun Kang, Taeun Bae +5
Designing materials with targeted properties remains challenging due to the vastness of chemical space and the scarcity of property-labeled data. While recent advances in generativ…
cond-mat.mtrl-sci2026★ 16 cited
Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks
Seunghee Han, Byeong Gwan Lee, Dae Woon Lim +1
Recently, metal-organic frameworks (MOFs) have demonstrated their potential as solid-state electrolytes in proton exchange membrane fuel cells. However, the number of MOFs reported…