1 citations · 1 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026
Hunting Structural Demons in Digital Reticular Chemistry: Lessons from Metal-Organic Frameworks
Yongchul G. Chung, Myoung Soo Lah
Digital reticular chemistry relies on accurate crystal structures to power computational screening, data-driven discovery, and structure-property analysis, yet recent studies revea…
cond-mat.mtrl-sci2022★ 1 cited
A Database of Ultrastable MOFs Reassembled from Stable Fragments with Machine Learning Models
Aditya Nandy, Shuwen Yue, Changhwan Oh +4
High-throughput screening of large hypothetical databases of metal-organic frameworks (MOFs) can uncover new materials, but their stability in real-world applications is often unkn…