What types of data are used in AI-driven catalysis?
AI-driven catalysis relies on diverse datasets, including experimental data, computational simulations, and literature reports. These datasets can encompass information about catalyst composition, reaction conditions, and performance metrics. High-throughput experimentation and automated data collection systems are often used to generate the extensive datasets required for training machine learning models.
