Mechanical and Artificial Intelligence laboratory (MAIL) at CMU is inherently a multidisciplinary group bringing together researchers with different backgrounds and interests, including Mechanical, Computer Science, Bio-engineering, Physics, Material and Chemical Engineering.

Our mission is to bring the state of the art machine learning algorithm to mechanical engineering. Traditional mechanical engineering paradigms use only physics based rules and principles to model the world which does not include the intrinsic noise/stochastic nature of the system. To this end, our lab is developing the algorithms that can infer, learn and predict the mechanical systems based on data. These data-driven models incorporate the physics into learning algorithm to build more accurate predictive models. We use multi-scale simulation (CFD, MD, DFT) to generate the data.