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    HomeTechnologyGreenTechArgonne Scientists Use AI to Identify New Materials for Carbon Capture

    Argonne Scientists Use AI to Identify New Materials for Carbon Capture

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    Metal-organic framework (MOF) materials can be used in many different applications, from catalysts to energy converters

    Generative AI techniques, machine learning and simulations give researchers new opportunities to identify environmentally friendly metal-organic framework materials.

    Carbon capture is a critical technology in reducing greenhouse gas emissions from power plants and other industrial facilities. But a suitable material for effective carbon capture at low cost has yet to be found. One candidate is metal-organic frameworks, or MOFs. This porous material can selectively absorb carbon dioxide.

    MOFs have three kinds of building blocks in their molecules — inorganic nodes, organic nodes and organic linkers. These can be arranged in different relative positions and configurations….

    Read the full article originally published at cleantechnica.com.

    CleanTechnica
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