MICDE-Aerospace Engineering Seminar: Jan Janssen, Scientist, Max Planck Institute
Cooley Building - 906How to use machine learning in the discovery and design of materials for the future?
10 events found.
Events
Micde Seminar
Events
MICDE – NERS Seminar: Teresa Bailey, Lawrence Livermore National Laboratory
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesComputational Science and High-Performance Computing at Lawrence Livermore National Laboratory
MICDE-CSE Seminar: Andrew Appel, Professor, Princeton University
BBB 3725 2260 Hayward St., Ann Arbor, United StatesFormally Verified Numerical Methods
MICDE Seminar: Joshua Dolence, Research Scientist, Los Alamos National Lab
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesParthenon: a flexible framework for rapid development of performance portable multiphysics codes
MICDE-IOE Seminar: Jong-Shi Pang, Professor, University of Southern California
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesHeaviside Composite Optimization, a new paradigm of optimization
MICDE-EECS Seminar: Mikhail Belkin, Professor, University of California San Diego
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United StatesEmergence and grokking in "simple" architectures
MICDE Nobel Prize Lectures
Forum Hall, Palmer Commons 100 Washtenaw Ave, Ann Arbor, MI, United States2024 Nobel Prizes in Physics and Chemistry
MICDE – MSE Seminar: Michael Herbst, Swiss Federal Institute of Technology in Lausanne
1670 Bob and Betty Beyster Building 2260 Hayward Street, Ann Arbor, MI, United StatesAlgorithmic differentiation (AD) for plane-wave DFT
MICDE – Mechanical Engineering Seminar – Elif Ertekin, University of Illinois Urbana-Champaign
Lurie Robert H. Engin. Ctr - Johnson Rooms (LEC 3213)Physical Mechanisms or Learned Patterns? Reconciling First-Principles Models with Machine Learning for Predictive Materials
MICDE – NERS – MIPSE Joint Seminar: Brian Haines, Los Alamos National Laboratory
Lurie Robert H. Engin. Ctr - Johnson Rooms (LEC 3213)Â Radiation-hydrodynamics Modeling & Application to Prediction of Inertial Confinement Fusion Experiments