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.
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
Khoi Dang (Chemistry)
This is a series of workshops to introduce the R programming language, as well as using R for data management, manipulation and visualization. No prior experience with R is required. […]