How Can (or Why Should) Process Engineering Aid the Screening and Discovery of Solid Sorbents for CO2 Capture?

Arvind Rajendran1, Sai Gokul Subraveti1,2, Kasturi Nagesh Pai1,3

  • 1Donadeo Innovation Centre for Engineering, University of Alberta, 9211-116 Street NW, Edmonton, AB T6G 1H9, Canada.

PubMed
Summary

Developing computational methods, including the MAPLE framework and physics-informed neural networks, enables efficient, process-informed screening of solid sorbents for carbon dioxide (CO2) capture, accelerating the transition to net-zero targets. This approach integrates material properties with process performance for effective adsorbent selection.

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