How do AI-driven control systems improve catalytic processes?
AI-driven control systems improve catalytic processes by continuously monitoring variables such as temperature, pressure, and reactant concentrations. By analyzing this data, the systems can adjust operating conditions to optimize reaction rates and selectivity. This leads to increased efficiency, reduced waste, and improved product quality. Additionally, AI can identify patterns and anomalies that may not be evident through traditional methods, providing deeper insights into the catalytic mechanisms.
