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
Physical Mechanisms or Learned Patterns? Reconciling First-Principles Models with Machine Learning for Predictive Materials
Radiation-hydrodynamics Modeling & Application to Prediction of Inertial Confinement Fusion Experiments
Accelerating Earth System Simulation
Inexact yet Accurate: Unlocking Quantum Modeling of Materials at Scale through Approximation-Tolerant Algorithms