Modern industrial products are designed on a computer. However, modern materials science algorithms are not efficient for optimizing many materials properties of interest, such as alloy hardness or Li ion battery power. We are working on applying machine learning (ML) to revolutionize computational materials algorithms, just like ML revolutionized technologies such as computer vision.
Latest news: Our group has developed a methodology for a high-throughput computational alloy discovery. Link to the manuscript.