Project Files
Bridging molecular properties to systems level indicators for adsorbent based post-combustion carbon capture using machine learning
Conference/Workshop
Machine Learning and Models: How we find optimal materials for Solar and CCS technologies
Conference/Workshop
Reduced-order modelling of Pressure-swing adsorption processes for Pre-combustion CO2 capture
Conference/Workshop
Analysis of a Batch Adsorber Analogue for Rapid Screening of Adsorbents for Postcombustion CO2 Capture
Scholarly Refereed Journal
Evaluation of diamine-appended metal-organic frameworks for post-combustion CO2 capture by vacuum swing adsorption
Scholarly Refereed Journal
Evaluation of diamine-appended metal-organic frameworks for postcombustion CO2 capture by vacuum swing adsorption
Scholarly Refereed Journal
Experimental validation of multi-objective optimization techniques for design of vacuum swing adsorption processes
Scholarly Refereed Journal
Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes
Scholarly Refereed Journal
Improving the performance of vacuum swing adsorption based CO2 capture under reduced recovery requirements
Scholarly Refereed Journal
Machine Learning-Based Multiobjective Optimization of Pressure Swing Adsorption
Scholarly Refereed Journal
Measurement of competitive CO2 and H2O adsorption on zeolite 13X for post-combustion CO2 capture
Scholarly Refereed Journal
Measurement of competitive CO2 and N2 adsorption on Zeolite 13X for postcombustion CO2 capture
Scholarly Refereed Journal
Prediction of MOF performance in Vacuum-Swing Adsorption systems for post-combustion CO2 capture based on integrated molecular simulation, process optimizations, and machine learning models
Scholarly Refereed Journal
Process Optimization-Based Screening of Zeolites for Post-Combustion CO2 Capture by Vacuum Swing Adsorption
Scholarly Refereed Journal