Computational Mechanics & Scientific Learning
Welcome to the Computational Mechanics & Scientific Learning (CMSL) Group led by Dr. Tianju Xue!
Our work addresses the challenges at the intersection of classic numerical simulations and cutting-edge machine learning techniques. By exploring new methods of computational mechanics in the context of scientific machine learning, we aim to revolutionize how we model, simulate, and optimize complex engineering systems. Our mission is to advance the accuracy, efficiency, and scalability of scientific computing methods, paving the way for more innovative designs and solutions in various industries.
Driven by emerging engineering applications, we have a particular interest in additive manufacturing, topology optimization, and mechanical meta-materials.