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...
by U-M MICDE | Mar 5, 2024
Dr. Lindsey develops new artificial intelligence-driven simulation methods to accelerate the design, discovery, and synthesis of next-generation materials. She leads the development of ChIMES, a physics-informed machine-learned interatomic model and generation...
by U-M MICDE | Feb 9, 2024
My recent research project is focusing on finite element analysis of thermo-mechanical behavior of a multi-layer laser additive manufacturing process. Also, I am characterizing the mechanical properties of 3D printing metal parts under various process parameters such...
