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AI screens 100,000+ membrane combinations, predicting carbon capture performance within seconds

AI screens 100,000+ membrane combinations, predicting carbon capture performance within seconds
Phys.org Wednesday 19 August 2026, 19:20 UTC 1 min read
Key Points

Reducing carbon dioxide emissions from industrial processes and energy production remains one of the major technological challenges in addressing climate change. Membrane-based gas separation offers an energy-efficient alternative to conventional separation technologies, but identifying membranes that allow gases to pass through rapidly while also separating them effectively has long presented a major materials-design challenge.

Reducing carbon dioxide emissions from industrial processes and energy production remains one of the major technological challenges in addressing climate change. Membrane-based gas separation offers an energy-efficient alternative to conventional separation technologies, but identifying membranes that allow gases to pass through rapidly while also separating them effectively has long presented a major materials-design challenge.
Originally published by Phys.org Read original →

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