Publications, Activities, and Awards
- Bridging molecular properties to systems level indicators for adsorbent based post-combustion carbon capture using machine learning
- Can a computer "learn" nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes
- Hybrid-AI Based Modelling of Pressure Swing Adsorption
- Machine Learning-Based Multiobjective Optimization of Pressure Swing Adsorption
- Physics-Based Neural Networks for Simulation and Synthesis of Cyclic Adsorption Processes
- Reduced-order modelling of Pressure-swing adsorption processes for Pre-combustion CO2 capture