SciML Webinar: Bob Carpenter – Multiscale Generalized Hamiltonian Monte Carlo with Delayed Rejection
Multiscale Generalized Hamiltonian Monte Carlo with Delayed Rejection
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Events
MICDE / MIDAS Graduate Information Session
1100 North University Building - 1528The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range […]
MICDE / ME Seminar: Olivier Desjardins, Professor of Mechanical and Aerospace Engineering at Cornell University
1109 FXB 1320 Beal Ave., Ann Arbor, MI, United StatesMulti-scale modeling of topology change in multiphase flow simulations
MICDE Ph.D. Student Seminar: Dean Price
2022 South Thayer BuildingHigh-Fidelity Multiphysics Modeling of Nuclear Microreactor
SciML Webinar: Jianke Yang – Generative Adversarial Symmetry Discovery
Generative Adversarial Symmetry Discovery
LANL XPS Seminar: Mark W. Schraad, Division Leader for Computational Physics at Los Alamos National Laboratory
Johnson Rooms, Lurie Engineering Center, 3rd Floor LEC 3213ABC 1221 Beal Ave., Ann Arbor, MI, United StatesHigh-Performance Computing and the Future of Big Science for Department of Energy Applications
MICDE ACES Mini-Symposium: MICDE Catalyst Grant Showcase
Lurie Robert H. Engin. Ctr - Johnson Rooms, 3rd floorThis event showcases the outstanding research supported by the MICDE Catalyst Grant and provides a unique opportunity to share your ideas and network with fellow faculty members during a networking reception.
MICDE / LANL T Division – James Patrick Colgan, Deputy Division Leader Los Alamos National Laboratory Theoretical Division
Lurie Robert H. Engin. Ctr - Johnson Rooms (LEC 3213)An overview of Los Alamos National Laboratory and the Theoretical Division.
SciML Webinar Justin Beroz: A closed-form mathematical framework for modeling turbulent fluids
A closed-form mathematical framework for modeling turbulent fluids
SciML Webinar Ji Qi: DImensionality-Reduced Encoded Clusters with sTratified (DIRECT) sampling for Robust Training of Machine Learning Interatomic Potentials
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling