Researchers at the Massachusetts Institute of Technology (MIT) are using artificial intelligence (AI) and quantum-mechanical modeling to identify metal-nitride catalysts that could dramatically reduce the energy required for electrochemical ammonia production.
Ammonia production, primarily used in nitrogen fertilizers, currently relies on the Haber-Bosch process, which is powered by fossil fuels.
The MIT team has developed a new method that allows them to predict which catalyst combinations are likely to lower energy costs.
This technology remains theoretical, but it could accelerate the search for catalysts needed to produce low-carbon ammonia.
