Seminar Series

Turbulent flows made up of solid particles or liquid droplets can be found across a broad range of engineering and scientific disciplines. The nonlinear and multiscale nature of such flows often precludes a direct analytic solution, and instead we must turn to numerical simulations that leverage high-performance computing resources or coarse-grained simulations that rely on subgrid-scale models.

High-speed shear flows are often characterized by some kind of aeroacoustic resonance phenomenon. Supersonic jets, particularly those that contain shock structures, produce high-intensity and discrete-frequency acoustic tones associated with an aeroacoustic feedback loop. While these jets and their associated resonances have been the subject of study for seventy years, our understanding of what physical mechanisms underpin the resonance has changed drastically in the past decade.

Midwest Mechanics Seminar Series Data-Driven Nonlinear Reduced-Order Modeling for Solid and Fluid Mechanics George Haller Chair in Nonlinear Dynamics ETH Zurich Monday, March 27, 2023 Johnson Room, LEC 4:00 p.m. […]

Architected materials are lightweight with high specific strength and excellent energy absorption, holding great promise for a range of applications, including automobiles, aerospace, and space. However, the absolute strength of such materials is low due to the removal of base material. To enhance the strength, stretch-dominated architectures are used, but they suffer post-yield collapses, severely limiting their energy absorption and post-yield stability, which are critical for structural applications.

Mechanical Engineering Seminar Series Tailoring Surface Chemistry and Surface Roughness to enable the Long-Term Stable Dropwise Condensation of Steam and Refrigerant Working Fluids Nenad Miljkovic Professor; Kritzer Faculty Scholar Mechanical […]

The use of sound has a long history in medicine. Dating back to 350 BC, the ancient Greek physician Hippocrates, regarded as “the father of medicine,” devised a diagnostic method for detecting fluid in the lungs by shaking patients by their shoulders and listening to the resulting sounds emanating from their chest. As acoustic technology has advanced, so too has our ability to “listen” to the body and better understand underlying pathologies.

Bottom-up Biology: Building Synthetic Cells. Details TBA.

Intelligent Dental Implants. Details TBA.

Scientific Machine Learning in Biophysics and Materials. Details TBA.

An Overview of the DOE EFRC Mechano-chemical Understanding of Solid Ion Conductors (MUSIC). Details TBA.

Peng Chen is currently a tenure-track assistant professor in the School of Computational Science and Engineering at Georgia Tech. In this talk, he will present a novel machine learning framework for solving optimization problems governed by large-scale partial differential equations (PDEs) with high-dimensional random parameters.