An end-to-end deep learning method for solving nonlocal Allen–Cahn and Cahn–Hilliard phase-field models... Journal March, 2025
A novel conditional generative model for efficient ensemble forecasts of state variables in large-scale geological carbon storage Journal February, 2025
Image Reconstruction from Fourier Data Using Sparsity of Edges Polynomial Annihilation Sparsifying Transform Journal December, 2014
Stochastic finite element methods for partial differential equations with random input data... Journal July, 2014
Stochastic Parameterization to Represent Variability and Extremes in Climate Modeling... Journal June, 2014
A sparse-grid method for Bayesian uncertainty quantification with application to large eddy simulation turbulence models ORNL Report June, 2014
A convergence analysis of stochastic collocation method for Navier-Stokes equations with random input data ORNL Report January, 2014
