UTARI Researcher Wins ASME/Boeing Award for Machine Learning in Composite Material Simulation
Dr. Xin Liu's paper on using machine learning to streamline material calibration for fatigue simulations of composite materials earned him the ASME/Boeing Materials and Structures Award at the SSDM Conference. This collaboration between UTA, AnalySwift LLC, Dassault Systèmes, and Purdue University showcases the interdisciplinary efforts driving innovation in aerospace engineering. ASME's recognition underscores the importance of such advancements, while SSDM conferences serve as vital platforms for knowledge exchange in aerospace structures, structural dynamics, and materials.