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.
This talk will introduce a bio-inspired oscillating turbine, which can generate energy from moving water through lift generation.
Cooperative Data-driven Modeling
Modeling the large-scale distribution of galaxies with cosmological hydrodynamical simulations.
Algorithms for Deterministically Constrained Stochastic Optimization.
WATCH THE RECORDING HERE. Mark Pauly is a full professor at EPFL, where he directs the Geometric Computing Laboratory (GCM). Prior to joining EPFL, he was assistant professor at ETH Zurich, postdoctoral scholar at Stanford University, and doctoral student at ETH Zurich. He received the ETH medal for outstanding dissertation in 2003, was awarded the […]
Mechanics of Hierarchical Porous Materials.
Recent advances in Quantum Monte Carlo methods and new algorithms and development strategies to run efficiently on the largest supercomputers powered by GPU accelerators from NVIDIA, AMD and Intel.
Quantum algorithms for eigenvalue problems
Multi-scale modeling of topology change in multiphase flow simulations