Leveraging machine learning to optimize CO2 adsorption

If 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.

from Energy & Green Tech News - Energy Sciences News, Green Tech, Energy, Energy Science https://ift.tt/3nFyyde

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