13 citations · 14 across the 3 of their papers we have counts for
5 papers
ActMOF: Mapping Reticular Synthesis through Active Learning
Hongrui Sheng, Shutian Liang, Reid A. Coyle +5
Reticular chemistry allows metal-organic frameworks (MOFs) to be designed from their building units, yet their synthesis remains constrained by sparse experimental data, noisy crys…
Predictive Synthesis of MOFs and COFs
Bin Feng, Reid A. Coyle, Shyam Chand Pal +3
Predictive synthesis concerns the prospective modeling of how a targeted structure can be realized. The synthesis of metal-organic frameworks (MOFs) and covalent organic frameworks…
Sustainable Metal-Organic Framework Water Harvesters in the Artificial Intelligence Era
Reid A. Coyle, Shyam Chand Pal, Peter Walther +3
Metal-organic frameworks (MOFs) are excellent candidates for water harvesting due to their tunable pore environments, which can be precisely engineered to capture and release water…
Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models
Peter Walther, Hongrui Sheng, Xinxin Liu +7
Scalable synthesis remains the gate between MOF discovery and industrial deployment, as scale-up know-how is fragmented across disparate reports. We introduce ScaleMOF, a literatur…
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…