3 papers
cond-mat.mtrl-sci2026
Multimodal Transformer for Sample-Aware Prediction of Metal-Organic Framework Properties
Seunghee Han, Jaewoong Lee, Jihan Kim
Metal-organic frameworks (MOFs) are a major target of machine-learning-based property prediction, yet most models assume that a single framework representation maps to a single pro…
cs.AI2026
SimMOF: AI agent for Automated MOF Simulations
Jaewoong Lee, Taeun Bae, Jihan Kim
Metal-organic frameworks (MOFs) offer a vast design space, and as such, computational simulations play a critical role in predicting their structural and physicochemical properties…
cs.LG2024
Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining
Jaewoong Lee, Junhee Woo, Sejin Kim +5
Recent advances in data-driven research have shown great potential in understanding the intricate relationships between materials and their performances. Herein, we introduce a nov…