{"ok":true,"article":{"slug":"ai-screens-100-000-membrane-combinations-predicting-carbon-capture-performance-w-89f86d98","title":"AI screens 100,000+ membrane combinations, predicting carbon capture performance within seconds","url":"https://phys.org/news/2026-08-ai-screens-membrane-combinations-carbon.html","canonical":"https://www.aimode.news/article/ai-screens-100-000-membrane-combinations-predicting-carbon-capture-performance-w-89f86d98","sourceName":"Phys.org","summary":"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.","category":"Science","image":null,"lang":"en","publishedAt":"2026-08-19T19:20:04+00:00","createdAt":"2026-08-19T19:30:13.044862+00:00"}}