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Subraveti, Gokul Sai

Program Alumni

Projects

Post Combustion Capture of CO2 using Solid Sorbents

Carbon Capture, Utilization & Storage
Subraveti, Gokul Sai
  • Title

    Graduate Student - Doctoral

  • Faculty

    Chemical and Materials Engineering

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
  • Cost Limits of Pressure-Vacuum Swing Adsorption for Post-Combustion CO2 Capture
  • How much can novel solid sorbents reduce the cost of post-combustion [formula omitted] capture? A techno-economic investigation on the cost limits of pressure–vacuum swing adsorption
  • Hybrid-AI Based Modelling of Pressure Swing Adsorption
  • Machine Learning and Models: How we find optimal materials for Solar and CCS technologies
  • Machine learning-based design and techno-economic assessments of adsorption processes for CO2 capture
  • Physics-Based Neural Networks for Simulation and Synthesis of Cyclic Adsorption Processes
  • 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
  • Reduced-order modelling of Pressure-swing adsorption processes for Pre-combustion CO2 capture
  • Techno-economic assessment of optimised vacuum swing adsorption for post-combustion CO2 capture from steam-methane reformer flue gas
  • Technoeconomic Assessment of Optimized Adsorption Processes for Post-Combustion CO2 Capture in Hydrogen Plants
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