Positions Open for Graduate and Undergraduate Students
Our lab is at the forefront of research bridging material science and computer science. We use a multidisciplinary approach to understand fundamental behaviors of materials across multiple length scales for a wide variety of applications. We use a range of interpretable machine learning techniques to break down complex problems into understandable equations. To achieve this, we employ a number of experimental techniques to characterize material behavior in traditionally and additive manufactured metals. To characterize more complex scenarios, we utilize high performance computing and numerical simulations to predict material behavior. We leverage machine learning and artificial intelligence to further enhance our understanding of both experimental and computational data. If you are interested in joining our lab, please contact Dr. Jacob Hochhalter at jacob.hochhalter@utah.edu with your C.V.
Left: M' Lab goes mountain biking in Park City, Above: M' Lab participates in department trick-or-treat event