What Role Does Machine Learning Play in Opencatalyst?
Machine learning is a core component of Opencatalyst. It is used to analyze the vast dataset and identify patterns that can predict the behavior of catalysts. By training models on existing data, researchers can make informed predictions about new materials, guiding experimental efforts and accelerating the discovery process. This approach leverages the power of artificial intelligence to tackle complex problems in catalysis.
