Automated laboratories in catalysis integrate various technologies such as robotic arms, liquid handlers, and automated reactors. These systems are controlled by sophisticated software that can design, execute, and analyze experiments. The workflow typically involves:
1. Designing Experiments: Using computational models and machine learning algorithms to predict promising catalytic conditions. 2. Executing Experiments: Robotic systems prepare and conduct experiments, ensuring precision and consistency. 3. Data Collection: Advanced sensors and analytical tools collect detailed data on reaction outcomes. 4. Data Analysis: High-performance computing systems analyze the data, often applying machine learning techniques to identify trends and optimize conditions.
