33.1k citations
- Sandia National Laboratories CaliforniaUS256 papers
- Center for Integrated NanotechnologiesUS116 papers
- University of New MexicoUS94 papers
- Los Alamos National LaboratoryUS75 papers
- Princeton UniversityUS59 papers
- Massachusetts Institute of TechnologyUS48 papers
- Oak Ridge National LaboratoryUS45 papers
- Lawrence Livermore National LaboratoryUS43 papers
- Purdue University West LafayetteUS40 papers
- Lawrence Berkeley National LaboratoryUS38 papers
- The University of Texas at AustinUS37 papers
- University of Maryland, College ParkUS37 papers
7 papers · 2 filters
Hyper-differential sensitivity analysis with respect to model discrepancy: Optimal solution updating
Joseph Hart, Bart van Bloemen Waanders
A common goal throughout science and engineering is to solve optimization problems constrained by computational models. However, in many cases a high-fidelity numerical emulation o…
Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition
Vivek Bharadwaj, Osman Asif Malik, Riley Murray +2
Candecomp / PARAFAC (CP) decomposition, a generalization of the matrix singular value decomposition to higher-dimensional tensors, is a popular tool for analyzing multidimensional…
Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization
Jeremy M. Myers, Daniel M. Dunlavy
There is growing interest to extend low-rank matrix decompositions to multi-way arrays, or tensors. One fundamental low-rank tensor decomposition is the canonical polyadic decompos…
Structure-preserving finite-element schemes for the Euler-Poisson equations
Matthias Maier, John N. Shadid, Ignacio Tomas
We discuss structure-preserving numerical discretizations for repulsive and attractive Euler-Poisson equations that find applications in fluid-plasma and self-gravitation modeling.…
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems
Amanda A. Howard, Mauro Perego, George E. Karniadakis +1
Operator learning for complex nonlinear systems is increasingly common in modeling multi-physics and multi-scale systems. However, training such high-dimensional operators requires…
Code Verification for Practically Singular Equations
Brian A. Freno, Neil R. Matula
The method-of-moments implementation of the electric-field integral equation (EFIE) yields many code-verification challenges due to the various sources of numerical error and their…