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 are also welcome to share what is currently working for you, and what is not. This is an open, drop-in office hour, and all are […]
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 are also welcome to share what is currently working for you, and what is not. This is an open, drop-in office hour, and all are […]
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 are also welcome to share what is currently working for you, and what is not. This is an open, drop-in office hour, and all are […]
Cooperative Data-driven Modeling