What is Machine Learning and How is it Applied in Catalysis?
Machine Learning (ML) is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to perform specific tasks without explicit instructions. These systems learn from data patterns and improve their performance over time. In the context of catalysis, ML is applied to predict catalytic activities, optimize reaction conditions, and discover new catalysts. This accelerates the research and development process, making it more efficient and cost-effective.
