13 citations · 30 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
The Rise of Generative AI for Metal-Organic Framework Design and Synthesis
Chenru Duan, Aditya Nandy, Shyam Chand Pal +17
Advances in generative artificial intelligence are transforming how metal-organic frameworks (MOFs) are designed and discovered. This Perspective introduces the shift from laboriou…
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…
Mining Insights on Metal-Organic Framework Synthesis from Scientific Literature Texts
Hyunsoo Park, Yeonghun Kang, Wonyoung Choe +1
Identifying optimal synthesis conditions for metal-organic frameworks (MOFs) is a major challenge that can serve as a bottleneck for new materials discovery and development. Trial-…