How can collaborative efforts enhance the use of Machine Learning in Catalysis?
Collaborative efforts between chemists, material scientists, and data scientists can significantly enhance the use of machine learning in catalysis. By pooling expertise, teams can ensure that data is accurately collected, analyzed, and interpreted. Collaborative platforms and open-access databases also facilitate the sharing of data and models, accelerating the pace of discovery and innovation.
