Why is Machine Learning Important in Catalysis Research?
Catalysis is a complex field requiring the optimization of multiple variables, such as temperature, pressure, and reactant concentrations. Traditional experimental methods can be time-consuming and expensive. ML algorithms can analyze vast datasets, identify patterns, and predict the outcomes of catalytic processes, significantly reducing the time and resources needed for experimental trials. This allows researchers to focus on the most promising catalyst candidates and reaction conditions.
