MICDE Seminar: Reese Jones, Distinguished Member of the Technical Staff, Sandia National Laboratories
1303 EECS 1301 Beal Ave, Ann Arbor, MI, United StatesPredicting failure in porous metals using convolutional neural networks.
Predicting failure in porous metals using convolutional neural networks.
Predicting failure in porous metals using convolutional neural networks.
Join us to learn more about the MICDE & MIDAS computational and data science graduate programs.
Srihari Sundar (Aerospace Engineering) | Vishwas Goel (Materials Science and Engineering)
This talk will introduce a bio-inspired oscillating turbine, which can generate energy from moving water through lift generation.
Cooperative Data-driven Modeling
Khoi Dang (Chemistry)
Meichen Liu (Earth and Environmental Science)
Ismael Mendoza | Physics and Scientific Computing | Machine Learning in Cosmology
Modeling the large-scale distribution of galaxies with cosmological hydrodynamical simulations.