This talk will introduce a bio-inspired oscillating turbine, which can generate energy from moving water through lift generation.
DATA-DRIVEN LEARNING OF NONLOCAL MODELS: BRIDGING SCALES WITH NONLOCALITY
Variational and phase-field models of brittle fracture: Past successes and current issues
SLURRIES OF COMPLEX FLUIDS
PHYSICS-CONSTRAINED DATA-DRIVEN METHODS FOR ACCURATELY ACCELERATING SIMULATIONS
OPTIMIZING COVID-19 VACCINE ALLOCATION
Christiana Mavroyiakoumou (Applied & Interdisciplinary Math.) | Vishwas Goel (Mechanical Engineering)
Join the MICDE and MIDAS teams for a 1-hour virtual information session to learn more about our computational and data science graduate program offerings, including: the Ph.D. in Scientific Computing, the Graduate Certificate in Computational Discovery & Engineering, the Graduate Certificate in Computational Neuroscience, and the Graduate Certificate in Data Science. After a short presentation, […]
Bio: Aditya G. Nair joined the Department of Mechanical Engineering at U. Nevada, Reno in August 2020. His research interests are in the areas of computational fluid dynamics, unsteady aerodynamics, high-performance computing, data science and control theory focused on modeling and control of high-dimensional fluid flow physics. He received his Ph.D. in mechanical engineering from […]
Leveraging modeling hierarchies in the Exascale era: applications to combustion technologies