by U-M MICDE | May 13, 2025
Prof. Popa’s broad research interest is on controlling the propagation of mechanical and electromagnetic waves with smart complex structures to influence physical processes in prescribed ways, to image and gain new knowledge on the surrounding environment,...
by U-M MICDE | Apr 16, 2025
My research interests are computational modelling and artificial intelligence for clean energy manufacturing, with a focus on E-mobility, additive manufacturing, and material circularity. The core theme of my research is to employ a combination of simulations,...
by U-M MICDE | Oct 21, 2024
My research focuses on understanding rotator cuff tendon tear growth mechanics using full-volume strain-probing methods and data-driven modeling. By comparing intact and torn tendons, I have shown that shear strains are high at the boundaries of attached/detached...
by U-M MICDE | Oct 10, 2024
Quantum many-body theory and algorithms for strongly correlated systems.
by U-M MICDE | Oct 10, 2024
I work in the field of computational materials science in Professor Katsuyo Thornton’s research group. My research involves simulations of microstructural evolution using the phase-field method. I am interested in understanding the dynamics of polycrystalline...
by U-M MICDE | Sep 3, 2024
The potential for quantum computers (QC) to solve complex problems exponentially faster than classical computers promises revolutionary advancements in data analysis, optimization, and encryption. Many problems fundamental to the disciplines of significance to society...
by U-M MICDE | Aug 26, 2024
Dr. Yarbasi’s expertise encompasses uncertainty quantification in complex systems, verification, and validation (V&V) activities, robotics, energy systems modeling in smart building infrastructure, and systems engineering. Before joining UMTRI, he extensively...
by U-M MICDE | Aug 21, 2024
Professor Tan has focused his recent efforts on physics-based modeling for various advanced manufacturing processes. Specifically, he has been working on computational fluid dynamics and computational materials modeling for additive manufacturing, welding, casting,...
by U-M MICDE | May 16, 2024
Krishnan Mahesh and his team are working on developing simulation methods that are flexible enough to handle real-world engineering problems and accurate enough to reliably simulate the complicated details of turbulence. As a result, we are now capable of simulating...
by U-M MICDE | Mar 29, 2024
Professor Holm uses the tools of computational materials science to study a variety of materials systems and phenomena. Her research areas include the theory and modeling of microstructural evolution in complex polycrystals, the physical and mechanical response of...
