Showing 1–20 of 39 results
/ Date/ Name
Oct 19, 2023A Comparison Of Direct Solvers In FROSch Applied To Chemo-MechanicsAug 15, 2024A computational study of algebraic coarse spaces for two-level overlapping additive Schwarz preconditionersAug 7, 2024Coarse Spaces Based on Higher-Order Interpolation for Schwarz Preconditioners for Helmholtz ProblemsOct 30, 2024Coupling deal.II and FROSch: A Sustainable and Accessible (O)RAS PreconditionerNov 16, 2025Sharpened PCG Iteration Bound for High-Contrast Heterogeneous Scalar Elliptic PDEsJan 13, 2026Multi-Preconditioned LBFGS for Training Finite-Basis PINNsNov 21, 2024Deep operator network models for predicting post-burn contractionApr 10, 2023An Experimental Study of Two-Level Schwarz Domain Decomposition Preconditioners on GPUsNov 10, 2024Graph Neural Network Surrogates to leverage Mechanistic Expert Knowledge towards Reliable and Immediate Pandemic ResponseMar 12, 2022Towards parallel time-stepping for the numerical simulation of atherosclerotic plaque growthJul 5, 2022Efficient coarse correction for parallel time-stepping in plaque growth simulationsMar 12, 2023An extension of the approximate component mode synthesis method to the heterogeneous Helmholtz equationDec 26, 2024Overlapping Schwarz Preconditioners for Randomized Neural Networks with Domain DecompositionOct 30, 2025Domain decomposition architectures and Gauss-Newton training for physics-informed neural networksDec 1, 2025Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice SheetsMar 11, 2025Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at ScaleJul 6, 2023A computational framework for pharmaco-mechanical interactions in arterial walls using parallel monolithic domain decomposition methodsOct 10, 2023Improving Pseudo-Time Stepping Convergence for CFD Simulations With Neural NetworksMay 18, 2023Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing dataAug 4, 2023Learning the solution operator of two-dimensional incompressible Navier-Stokes equations using physics-aware convolutional neural networks