AI screens 100,000+ membrane combinations, predicting carbon capture performance within seconds
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 th...
Image: Phys.org
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 at Phys.org
