Mechanical Engineering (ME) researchers co-led by Mohammad Malakooti — NanoES faculty member and ME assistant professor — are applying an inverse design framework to identify new composite materials for flexible electronic and wearables. With funding from the National Science Foundation and the AI Institute in Dynamic Systems, the team is focusing on optimal material composition while reducing the number of experiments. Discover how machine learning and physics-based modeling are influencing the team’s innovative research.