Parametric uncertainty quantification using proper generalized decomposition applied to neutron diffusion
DOI10.1002/NME.6077zbMATH Open1548.82107MaRDI QIDQ6554175
Zachary M. Prince, J. C. Ragusa
Publication date: 12 June 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
parametric modelsuncertainty quantificationproper generalized decompositionreduced-order modelingneutron diffusiondiffusion-reaction
Multigrid methods; domain decomposition for boundary value problems involving PDEs (65N55) Nuclear reactor theory; neutron transport (82D75)
Cites Work
- Recent advances and new challenges in the use of the proper generalized decomposition for solving multidimensional models
- Routes for efficient computational homogenization of~nonlinear materials using the~proper generalized decompositions
- A first step towards the use of proper general decomposition method for structural optimization
- Separated representations and PGD-based model reduction. Fundamentals and applications. Papers based on the presentations at the course
- PGD-based \textit{computational vademecum} for efficient design, optimization and control
- An overview of the proper generalized decomposition with applications in computational rheology
- On the deterministic solution of multidimensional parametric models using the proper generalized decomposition
- A POD reduced order model for resolving angular direction in neutron/photon transport problems
- Reduced-order modeling of the upper tropical Pacific ocean model using proper orthogonal decomposition
- On lines and planes of closest fit to systems of points in space.
- A multidimensional data-driven sparse identification technique: the sparse proper generalized decomposition
- Model order reduction and domain decomposition strategies for the solution of the dynamic elastic-plastic structural problem
- Using proper generalized decomposition to compute the dominant mode of a nuclear reactor
- POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model
- The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: an overview
- The proper generalized decomposition for advanced numerical simulations. A primer
- A POD reduced-order model for eigenvalue problems with application to reactor physics
- Recent advances on the use of separated representations
- MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION
- Computational vademecums for real-time simulation of surgical cutting in haptic environments
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