How is Reinforcement Learning Applied in Catalysis?
In the field of catalysis, RL can be used to optimize various parameters that affect the efficiency and selectivity of catalytic reactions. This includes the search for new catalyst materials, optimizing reaction conditions, and designing catalyst structures. By defining appropriate reward functions, RL algorithms can explore vast parameter spaces more efficiently than traditional methods.
