MIT uses ML to screen catalysts for greener ammonia production
nordicinst · x · 2026-08-21
MIT researchers are employing machine learning and density functional theory (DFT) to predict catalytic nitrides for electrochemical ammonia production. This approach aims to identify materials enabling a scalable, low-emission alternative to the fossil-fuel-dependent Haber-Bosch process, crucial for fertilizer and other industrial applications.
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