MICDE Seminar: John Tramm, Assistant Computational Scientist, Argonne National Laboratory
1010 H. H. Dow 2300 Hayward St, Ann Arbor, MI, United StatesMechanics of Hierarchical Porous Materials.
Mechanics of Hierarchical Porous Materials.
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