22 citations · 24 across the 4 of their papers we have counts for
4 papers
Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale
Matthias Mayr, Alexander Heinlein, Christian Glusa +30
Trilinos is a community-developed, open-source software framework that facilitates building large-scale, complex, multiscale, multiphysics simulation code bases for scientific and…
Graph Neural Networks and Applied Linear Algebra
Nicholas S. Moore, Eric C. Cyr, Peter Ohm +2
Sparse matrix computations are ubiquitous in scientific computing. With the recent interest in scientific machine learning, it is natural to ask how sparse matrix computations can…
Spatially Adaptive Stochastic Methods for Fluid-Structure Interactions Subject to Thermal Fluctuations in Domains with Complex Geometries
Pat Plunkett, Jon Hu, Chris Siefert +1
We develop stochastic mixed finite element methods for spatially adaptive simulations of fluid-structure interactions when subject to thermal fluctuations. To account for thermal f…
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part II: application to partial differential equations
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger +3
A template-based generic programming approach was presented in a previous paper that separates the development effort of programming a physical model from that of computing additio…