Optimizing Complex Scientific Workflows Using a Reconfigurable Heterogeneous-Aware Storage System for Extreme-Scale Computing Events 12/16/2020
A turbulent eddy-viscosity surrogate modeling framework for Reynolds-Averaged Navier-Stokes simulations Publications Computers & Fluids
Recurrent Neural Network Architecture Search for Geophysical Emulation Publications 2020 SC20: International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
Data-Driven Model Reduction of Multiphase Flow in a Single-Hole Automotive Injector Publications Atomization and Sprays
Deep learning models for global coordinate transformations that linearise PDEs Publications European Journal of Applied Mathematics
Non-autoregressive time-series methods for stable parametric reduced-order models Publications Physics of Fluids
Time-series learning of latent-space dynamics for reduced-order model closure Publications Physica D: Nonlinear Phenomena
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities Publications International Conference on Computational Science ICCS 2020: Computational Science – ICCS 2020
Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil Publications Physics of Fluids
What matters the most? Understanding individual tornado preparedness using machine learning Publications Natural Hazards