Thomas D. Burns

Carbon dioxide capture from open air using covalent organic frameworks

Self-Driving Laboratories for Chemistry and Materials Science

Inverse design of nanoporous crystalline reticular materials with deep generative models

Prediction of MOF Performance in Vacuum Swing Adsorption Systems for Postcombustion CO₂ Capture Based on Integrated Molecular Simulations, Process Optimizations, and Machine Learning Models