11 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Interpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents
Kyungmin Nam, Seunghee Han, Jihan Kim
Inverse design of metal-organic frameworks (MOFs) requires navigating combinatorial spaces with costly property labels and opaque machine-learning models. We introduce LLM4MOF, a c…
cond-mat.mtrl-sci2025★ 1 cited
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…
cs.CL2023★ 11 cited
ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks
Yeonghun Kang, Jihan Kim
ChatMOF is an autonomous Artificial Intelligence (AI) system that is built to predict and generate metal-organic frameworks (MOFs). By leveraging a large-scale language model (GPT-…