Why is Reinforcement Learning Important for Catalysis?
Catalytic processes are often complex and involve multiple variables that can interact in non-linear ways. Traditional experimental approaches can be time-consuming and expensive. RL offers a more efficient alternative by enabling intelligent exploration and optimization. This can significantly accelerate the discovery of new catalysts and the optimization of existing ones, leading to improved industrial processes and reduced environmental impact.
