MICDE Faculty seminar: Philip Roe, Emeritus Professor, Aerospace Engineering U-M
1109 FXB 1320 Beal Ave., Ann Arbor, MI, United StatesMusings of a Computational Philosopher
Musings of a Computational Philosopher
Cosmological Hydrodynamical Simulations and Machine Learning at the Intersection of Galaxy Formation and Cosmology
UQ for ML and ML for UQ: Why Uncertainty Quantification and Machine Learning Go Hand-in-Hand
Immersed methods for fluid-structure interaction
MCMC, variational inference, and reverse diffusion Monte Carlo
Large Eddy Simulation of Turbulent Cavitating Flows
How to use machine learning in the discovery and design of materials for the future?
Computational Science and High-Performance Computing at Lawrence Livermore National Laboratory
Formally Verified Numerical Methods
Parthenon: a flexible framework for rapid development of performance portable multiphysics codes