Copertina

Learning physics-based reduced-order models from data using nonlinear manifolds

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Geelen, Rudy, Balzano, Laura, Wright, Stephen, Willcox, Karen
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Numerical Analysis
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning latent representations in high-dimensional state spaces using polynomial manifold constructions
di: Geelen, Rudy, et al.
Pubblicazione: (2023)

Efficient data-driven regression for reduced-order modeling of spatial pattern formation
di: Alla, Alessandro, et al.
Pubblicazione: (2025)

Fast Quadratic Manifold Learning For Nonlinear Dimensionality Reduction in Large-scale Systems using Riemannian Optimization
di: Paxton, Gavin, et al.
Pubblicazione: (2026)

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

Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine
di: Farcas, Ionut-Gabriel, et al.
Pubblicazione: (2024)

Scalable nonlinear manifold reduced order model for dynamical systems
di: Zanardi, Ivan, et al.
Pubblicazione: (2024)

Domain decomposition for data-driven reduced modeling of large-scale systems
di: Farcas, Ionut-Gabriel, et al.
Pubblicazione: (2023)

Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
di: Aretz, Nicole, et al.
Pubblicazione: (2025)

A Dynamic Subspace Approach for Low-rank Approximation of Large-scale Nonlinear Systems
di: DeChant, Jack, et al.
Pubblicazione: (2026)

Entropy stable reduced order modeling of nonlinear conservation laws using discontinuous Galerkin methods
di: Qu, Ray, et al.
Pubblicazione: (2025)

History-aware adaptive reduced-order models via incremental singular value decomposition
di: Hedayat, Amirpasha, et al.
Pubblicazione: (2026)

Real-time aerodynamic load estimation for hypersonics via strain-based inverse maps
di: Pham, Julie, et al.
Pubblicazione: (2024)

A hyperreduced reduced basis element method for reduced-order modeling of component-based nonlinear systems
di: Ebrahimi, Mehran, et al.
Pubblicazione: (2025)

On latent dynamics learning in nonlinear reduced order modeling
di: Farenga, Nicola, et al.
Pubblicazione: (2024)

Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
di: McQuarrie, Shane A, et al.
Pubblicazione: (2021)

PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
di: Brivio, Simone, et al.
Pubblicazione: (2024)

Elasticity-based morphing technique and application to reduced-order modeling
di: Kabalan, Abbas, et al.
Pubblicazione: (2024)

Continuous nonlinear adaptive experimental design with gradient flow
di: Jin, Ruhui, et al.
Pubblicazione: (2024)

Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity
di: Ballarin, Francesco, et al.
Pubblicazione: (2023)

Accelerated construction of projection-based reduced-order models via incremental approaches
di: Agouzal, Eki, et al.
Pubblicazione: (2024)

Adaptive planning for risk-aware predictive digital twins
di: Tezzele, Marco, et al.
Pubblicazione: (2024)

POD-based reduced order modeling of global-in-time iterative decoupled algorithms for Biot's consolidation model
di: Gu, Huipeng, et al.
Pubblicazione: (2025)

A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks
di: Chen, Shi, et al.
Pubblicazione: (2021)

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

Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference
di: Gosea, Ion Victor, et al.
Pubblicazione: (2024)

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems
di: Sharma, Harsh, et al.
Pubblicazione: (2022)

A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach
di: Ngan, Valentin Nkana, et al.
Pubblicazione: (2023)

A reduced-order model for advection-dominated problems based on Radon Cumulative Distribution Transform
di: Long, Tobias, et al.
Pubblicazione: (2023)

Vanquishing the computational cost of passive gamma emission tomography simulations: a physics-aware reduced order modeling approach
di: Cavallini, Nicola, et al.
Pubblicazione: (2023)

Multifidelity Proper Orthogonal Decomposition
di: Aretz, Nicole, et al.
Pubblicazione: (2026)

Convergence analysis for a tree-based nonlinear reduced basis method
di: Barakat, Mohamed, et al.
Pubblicazione: (2025)

Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
di: Brivio, Simone, et al.
Pubblicazione: (2024)

Error bounds for approximate posteriors from likelihood-informed reduced-order models
di: Lie, Han Cheng, et al.
Pubblicazione: (2026)

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method
di: Pagani, Stefano, et al.
Pubblicazione: (2019)

Well-balanced POD-based reduced-order models for finite volume approximation of hyperbolic balance laws
di: Gómez-Bueno, I., et al.
Pubblicazione: (2025)

Second order reduced model via incremental projection for Navier Stokes
di: Azaïez, Mejdi, et al.
Pubblicazione: (2025)

On the accuracy and efficiency of reduced order models: towards real-world applications
di: Siena, Pierfrancesco, et al.
Pubblicazione: (2024)

An adaptive hierarchical ensemble Kalman filter with reduced basis models
di: Silva, Francesco A. B., et al.
Pubblicazione: (2024)

Deep learning-based reduced-order methods for fast transient dynamics
di: Cracco, Martina, et al.
Pubblicazione: (2022)

Reduced order models for nonlinear radiative transfer based on moment equations and POD/DMD of Eddington tensor
di: Coale, Joseph M., et al.
Pubblicazione: (2021)