1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
cond-mat.mtrl-sci2025
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-sci2024★ 1 cited
Harnessing Large Language Model to collect and analyze Metal-organic framework property dataset
Wonseok Lee, Yeonghun Kang, Taeun Bae +1
This research was focused on the efficient collection of experimental Metal-Organic Framework (MOF) data from scientific literature to address the challenges of accessing hard-to-f…