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)
You're invited to hear from Brock Palen about the next generation of Advanced Research Computing (ARC) services, and to provide feedback about whether these services will meet your needs. You […]
This talk will introduce a bio-inspired oscillating turbine, which can generate energy from moving water through lift generation.
You're invited to hear from Brock Palen about the next generation of Advanced Research Computing (ARC) services, and to provide feedback about whether these services will meet your needs. You […]
You're invited to hear from Brock Palen about the next generation of Advanced Research Computing (ARC) services, and to provide feedback about whether these services will meet your needs. You […]
Cooperative Data-driven Modeling