Cover Image

Offline Maximizing Minimally Invasive Proper Orthogonal Decomposition for Reduced Order Modeling of $S_n$ Radiation Transport

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huhn, Quincy, Ragusa, Jean, Choi, Youngsoo
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reduced-Order Solution for Rarefied Gas Flow by Proper Generalised Decomposition
by: Su, Wei, et al.
Published: (2025)

Local Reduced-Order Modeling for Electrostatic Plasmas by Physics-Informed Solution Manifold Decomposition
by: Tsai, Ping-Hsuan, et al.
Published: (2023)

Modal-Centric Field Inversion via Differentiable Proper Orthogonal Decomposition
by: Kanchi, Rohit Sunil, et al.
Published: (2026)

Multifidelity Proper Orthogonal Decomposition
by: Aretz, Nicole, et al.
Published: (2026)

A Reduced Order Model approach for First-Principles Molecular Dynamics Computations
by: Cheung, Siu Wun, et al.
Published: (2026)

Model Order Reduction for Quantum Molecular Dynamics
by: Cheung, Siu Wun, et al.
Published: (2025)

Reduced‐Order Modeling of the Lattice Discrete Particle Model via Proper Orthogonal Decomposition
by: Nima Noorollahi, et al.
Published: (2026)

A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
by: Hajisharifi, Arash, et al.
Published: (2025)

A Reduced-Order Model for Nonlinear Radiative Transfer Problems Based on Moment Equations and POD-Petrov-Galerkin Projection of the Normalized Boltzmann Transport Equation
by: Coale, Joseph M., et al.
Published: (2023)

A fast and accurate domain-decomposition nonlinear manifold reduced order model
by: Diaz, Alejandro N., et al.
Published: (2023)

Reduced-order modeling of neutron transport separated in axial and radial space by Proper Generalized Decomposition with applications to nuclear reactor physics
by: Dominesey, Kurt A., et al.
Published: (2024)

Reduced Order Model Enhanced Source Iteration with Synthetic Acceleration for Parametric Radiative Transfer Equation
by: Peng, Zhichao
Published: (2024)

Randomized Proper Orthogonal Decomposition for data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model
by: Besabe, Lander, et al.
Published: (2025)

Synthetic Acceleration Preconditioners for Parametric Radiative Transfer Equations based on Trajectory-Aware Reduced Order Models
by: Tang, Ning, et al.
Published: (2025)

A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks
by: Meneghetti, Laura, et al.
Published: (2022)

Introduction to the Combination of Reduced Order Models and Domain Decomposition: State of the Art and Perspectives
by: Ruan, Shenhui, et al.
Published: (2026)

A Flexible GMRES Solver with Reduced Order Model Enhanced Synthetic Acceleration Preconditioenr for Parametric Radiative Transfer Equation
by: Peng, Zhichao
Published: (2024)

Reduced-Order Models for Thermal Radiative Transfer Based on POD-Galerkin Method and Low-Order Quasidiffusion Equations
by: Coale, Joseph M., et al.
Published: (2021)

Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition
by: Mou, Changhong, et al.
Published: (2026)

PODNO: Proper Orthogonal Decomposition Neural Operators
by: Cheng, Zilan, et al.
Published: (2025)

Sequential decoder training for improved latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)

Efficient space-time reduced order model for linear dynamical systems in Python using less than 120 lines of code
by: Kim, Youngkyu, et al.
Published: (2020)

Domain Decomposition-Based Coupling of High-Fidelity Finite Element and Reduced Order Operator Inference Models Using the Schwarz Alternating Method
by: Moore, Ian, et al.
Published: (2025)

Physics-informed reduced order model with conditional neural fields
by: Kim, Minji, et al.
Published: (2024)

Weighted Proper Orthogonal Decomposition for High-Dimensional Optimization
by: van Schie, Sebastiaan P. C., et al.
Published: (2025)

Theory and numerics of subspace approximation of eigenvalue problems
by: Cheung, Siu Wun, et al.
Published: (2024)

Proper Implicit Discretization of Arbitrary-Order Robust Exact Differentiators
by: Seeber, Richard
Published: (2024)

Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation
by: Shen, Weijie, et al.
Published: (2024)

Localized Orthogonal Decomposition Method with $H^1$ Interpolation for Multiscale Elliptic Problem
by: Yu, Tao, et al.
Published: (2024)

Localized Orthogonal Decomposition Methods vs. Classical FEM for the Gross-Pitaevskii Equation
by: Döding, Christian
Published: (2024)

Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
by: Bistrian, Diana Alina, et al.
Published: (2022)

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
by: Padula, Guglielmo, et al.
Published: (2025)

mLaSDI: Multi-stage latent space dynamics identification
by: Anderson, William, et al.
Published: (2025)

On the Optimality of Reduced-Order Models for Band Structure Computations: A Kolmogorov $n$-Width Perspective
by: Srivastava, Ankit
Published: (2026)

Reduced Order Data-driven Twin Models for Nonlinear PDEs by Randomized Koopman Orthogonal Decomposition and Explainable Deep Learning
by: Bistrian, D. A.
Published: (2025)

Generative Adversarial Reduced Order Modelling
by: Coscia, Dario, et al.
Published: (2023)

KROM: Kernelized Reduced Order Modeling
by: Bacho, Aras, et al.
Published: (2026)

An Adaptive CUR Algorithm and its Application to Reduced-Order Modeling of Random PDEs
by: Palkar, Grishma, et al.
Published: (2025)

A Priori Error Bounds for the Approximate Deconvolution Leray Reduced Order Model
by: Moore, Ian, et al.
Published: (2024)

Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods
by: Ivagnes, Anna, et al.
Published: (2024)