Inorganic Synthesis Reaction Condition Prediction with Generative Machine Learning

Christopher Karpovich, Zach Jensen, Vineeth Venugopal +1

Data-driven synthesis planning with machine learning is a key step in the design and discovery of novel inorganic compounds with desirable properties. Inorganic materials synthesis…