Machine learning can dramatically enhance catalyst design by: - Accelerating Screening: ML models can rapidly predict the performance of numerous catalysts, reducing the need for exhaustive experimental testing. - Optimizing Conditions: Algorithms can determine the optimal reaction conditions for a desired outcome, saving time and resources. - Identifying New Catalysts: ML can suggest novel materials that may have been overlooked by traditional methods.
