Using generative AI to help scientists synthesize complex materials

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of problems. Now, scientists just have to figure out how to make them. In many cases, materials synthesis is not as simple as following a recipe in the kitchen. Factors like the temperature and length of processing can yield huge changes in a material's properties that make or break its performance. That has limited researchers' ability to test millions of promising model-generated materials.