Researchers at Iowa State University have developed a high-speed technology using artificial intelligence to better understand catalytic reactions, such as those in ammonia production. This new framework, called High-Throughput Deep Reinforcement Learning with First Principles (HDRL-FP), can quickly identify optimal reaction pathways from numerous possibilities. By simulating chemical reactions and using machine learning, this method enhances the understanding of reaction mechanisms and helps optimize processes, potentially reducing production costs and CO₂ emissions. This approach can be applied broadly to study various catalytic reactions.
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