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Working Smarter: Leveraging Machine Learning to Optimize CO2 Adsorption

EurekAlert
 2021-09-16

Cover picture for the articleIf we are to mitigate climate change, we must find cost-effective and sustainable ways to reduce industrial carbon dioxide (CO2) emissions. Unfortunately, most well-established methods for carbon capture and storage (CCS) in industrial post-combustion sources bear significant downsides, such as a high cost, environmental toxicity, or durability issues. Against this backdrop, many researchers have focused on what may be our best bet for next-generation CCS systems: CO2 adsorption using solid porous carbon materials.

www.eurekalert.org

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