Copertina

Physics-Infused Reduced-Order Modeling for Analysis of Multi-Layered Hypersonic Thermal Protection Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Venegas, Carlos A. Vargas, Huang, Daning, Blonigan, Patrick, JohnTencer
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computational Physics Numerical Analysis
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Interpretable and flexible non-intrusive reduced-order models using reproducing kernel Hilbert spaces
di: Diaz, Alejandro N, et al.
Pubblicazione: (2025)

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

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

Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System
di: Halder, Rahul, et al.
Pubblicazione: (2023)

Reduced Order Model for Broadband Superabsorption of Waves by Metascreens
di: Ammari, Habib, et al.
Pubblicazione: (2026)

Learning solution operator of dynamical systems with diffusion maps kernel ridge regression
di: Song, Jiwoo, et al.
Pubblicazione: (2025)

A model-free method for discovering symmetry in differential equations
di: Kreider, Max, et al.
Pubblicazione: (2025)

Preconditioning and Reduced-Order Modeling of Navier-Stokes Equations in Complex Porous Microstructures
di: Li, Kangan, et al.
Pubblicazione: (2025)

Non-Intrusive Data-Free Parametric Reduced Order Model for Geometrically Nonlinear Structures
di: Saccani, Alexander, et al.
Pubblicazione: (2025)

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

Accelerating Construction of Non-Intrusive Nonlinear Structural Dynamics Reduced Order Models through Hyperreduction
di: Saccani, Alexander, et al.
Pubblicazione: (2024)

Implicit Methods with Reduced Memory for Thermal Radiative Transfer
di: Anistratov, Dmitriy Y., et al.
Pubblicazione: (2021)

Multi-Physics Model Bias Correction with Data-Driven Reduced Order Modelling Techniques: Application to Nuclear Case Studies
di: Riva, Stefano, et al.
Pubblicazione: (2024)

A Review of Equation-Based and Data-Driven Reduced Order Models featuring a Hybrid cardiovascular application
di: Siena, Pierfrancesco, et al.
Pubblicazione: (2025)

Stable self-adaptive timestepping for Reduced Order Models for incompressible flows
di: Plana-Riu, Josep, et al.
Pubblicazione: (2025)

Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces
di: Diaz, Alejandro N., et al.
Pubblicazione: (2025)

On Geometry Regularization in Autoencoder Reduced-Order Models with Latent Neural ODE Dynamics
di: Osipov, Mikhail
Pubblicazione: (2026)

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

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

Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems
di: Herkert, Robin, et al.
Pubblicazione: (2024)

Reduced-Order Time Splitting for Navier-Stokes with Open Boundaries
di: Azaïez, Mejdi, et al.
Pubblicazione: (2025)

Multilevel Method with Low-Order Equations of Mixed Types and Two Grids in Photon Energy for Thermal Radiative Transfer
di: Anistratov, Dmitriy Y., et al.
Pubblicazione: (2024)

Dictionary-based Online-adaptive Structure-preserving Model Order Reduction for Parametric Hamiltonian Systems
di: Herkert, Robin, et al.
Pubblicazione: (2023)

Parametric Model Order Reduction by Box Clustering with Applications in Mechatronic Systems
di: Vargas-Fajardo, Juan Angelo, et al.
Pubblicazione: (2025)

Generative Adversarial Reduced Order Modelling
di: Coscia, Dario, et al.
Pubblicazione: (2023)

KROM: Kernelized Reduced Order Modeling
di: Bacho, Aras, et al.
Pubblicazione: (2026)

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

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

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

Formulation and Analysis of Blended Atomistic to Higher-Order Continuum Coupling Methods for Crystalline Defects
di: Lu, Junfeng, et al.
Pubblicazione: (2025)

Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
di: Prusak, Ivan, et al.
Pubblicazione: (2024)

Inference of Substructured Reduced-Order Models for Dynamic Contact from Contact-free Simulations
di: Manvelyan-Stroot, Diana, et al.
Pubblicazione: (2025)

A brief review of Reduced Order Models using intrusive and non-intrusive techniques
di: Padula, Guglielmo, et al.
Pubblicazione: (2024)

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

A New Adaptive Deep Learning based Reduced Order Model for Hybrid-Type Parabolic PDEs: Rigorous Error Analysis and Applications
di: Kotowski, Dawid, et al.
Pubblicazione: (2026)

A hybrid Reduced Order Model to enforce outflow pressure boundary conditions in computational haemodynamics
di: Siena, Pierfrancesco, et al.
Pubblicazione: (2025)

Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media
di: Ballini, Enrico, et al.
Pubblicazione: (2024)

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

A Goal-Oriented Adaptive Sampling Procedure for Projection-Based Reduced-Order Models with Hyperreduction
di: Biondic, Calista, et al.
Pubblicazione: (2025)

Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks
di: Ivagnes, Anna, et al.
Pubblicazione: (2025)