Data-driven Process Systems Engineering Lab
Welcome to the webpage of the Data-Driven Process Systems Engineering (DDPSE) Lab! We are a computational research group in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. Our work lies in the Process Systems Engineering field, with applications in energy, process intensification and manufacturing of pharmaceuticals and bioproducts. Our aim is to integrate new developments in data-science with traditional chemical engineering fundamentals, to develop the new generation of modeling and optimization tools for complex multiscale systems.
The DDPSE lab welcomes two new members
Atlanta, GA
October 01, 2022
The DD-PSE lab has grown! Welcome to the new PhD students, Sidharth Laxminarayan, and Jacob Sweet!
Elisavet successfully defends PhD proposal!
Atlanta, GA
June 16, 2022
Congrats to Elisavet for successfully defending her PhD Proposal! Her work will be focused on modeling plastic recycling mechanocatalytic processes - from unit operation modeling to supply-chain optimization
Suryateja successfully defends PhD proposal!
Atlanta, GA
June 15, 2022
Congrats to Suryateja for successfully defending his PhD Proposal! His work will be focused on developing derivative-free optimization techniques and data-driven hybrid modeling for process systems.
Data-Driven Simultaneous Process Optimization and Adsorbent Selection for Vacuum Pressure Swing Adsorption
Chemical Engineering Research and Design 2022
Technologies for post-combustion carbon capture are essential for the reduction of greenhouse gas emissions to the atmosphere. However, they are still associated with high costs and energy consumption. Intensified processes for carbon capture have the potential to overcome these challenges…
Stages and Kinetics of Mechanochemical Depolymerization of Poly(ethylene terephthalate) with Sodium Hydroxide
ACS Sustainable Chem. Eng. 2022
Efficient chemical recycling of consumer plastics (i.e., depolymerization down to monomers) is a crucial step needed to achieve a circular material economy. In this work, depolymerization of poly(ethylene terephthalate) (PET) via mechanochemical hydrolysis with sodium hydroxide is studied, with complete…
