MICDE / AIM Seminar: Blaise Bourdin, PhD, Professor of Mathematics & Statistics, McMaster University
Zoom EventVariational and phase-field models of brittle fracture: Past successes and current issues.
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Seminar
MICDE Seminar: Marta D`Elia, Principal Member of the Technical Staff, Sandia National Laboratories
Zoom Event MI, United StatesDATA-DRIVEN LEARNING OF NONLOCAL MODELS: BRIDGING SCALES WITH NONLOCALITY
MICDE / MIDAS Seminar: Yun S. Song, PhD, Professor of Computer Science and Statistics, University of California, Berkeley
West Hall 340Professor Yun S. Song is working in mathematical and computational biology.
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MICDE/AIM Seminar: Miguel Moyers-González, Associate Professor of Mathematics and Statistics, University of Canterbury
Your DesktopInferring physical properties and topographical features from free surface flow data
MICDE Seminar: Douglas Spearot, Professor of Mechanical & Aerospace Engineering, University of Florida
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United StatesMesoscale Modeling of Plasticity in Metallic Materials via Advancement of the Discrete Dislocation Dynamics Simulation Method
MICDE Seminar: Katya Scheinberg,Professor of Operations Research and Information Engineering, Cornell University
1500 EECSOverview of Adaptive Optimization Methods for Stochastic Oracles
MICDE / IOE Seminar: Andreas Wächter, Professor of Industrial Engineering and Management Sciences, Northwestern University
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesTHE ARPA-E GRID OPTIMIZATION COMPETITION
MICDE Seminar: Pania Newell, Assistant Professor of Mechanical Engineering, University of Utah
1200 EECS 1301 Beal Ave., Ann Arbor, MI, United StatesMechanics of Hierarchical Porous Materials.
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.
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.