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 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
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. These workshops are divided into the following three sessions: 1. The Basics of R -- Basic concepts and commands of the R programming language. 2. […]