A gradient-enhanced univariate dimension reduction method for uncertainty propagation
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Bingran, Orndorff, Nicholas C., Sperry, Mark, Hwang, John T. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method
por: Wang, Bingran, et al.
Publicado: (2024)
por: Wang, Bingran, et al.
Publicado: (2024)
Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification
por: Wang, Bingran, et al.
Publicado: (2024)
por: Wang, Bingran, et al.
Publicado: (2024)
Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations
por: Wang, Bingran, et al.
Publicado: (2023)
por: Wang, Bingran, et al.
Publicado: (2023)
A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing
por: Wang, Bingran, et al.
Publicado: (2025)
por: Wang, Bingran, et al.
Publicado: (2025)
Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach
por: Wang, Bingran, et al.
Publicado: (2024)
por: Wang, Bingran, et al.
Publicado: (2024)
Localized kernel gradient correction for SPH simulations of water wave propagation
por: Schulze, Lennart Justin, et al.
Publicado: (2025)
por: Schulze, Lennart Justin, et al.
Publicado: (2025)
I-FENN with Temporal Convolutional Networks: expediting the load-history analysis of non-local gradient damage propagation
por: Pantidis, Panos, et al.
Publicado: (2024)
por: Pantidis, Panos, et al.
Publicado: (2024)
Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design
por: Partovizadeh, Aylar, et al.
Publicado: (2024)
por: Partovizadeh, Aylar, et al.
Publicado: (2024)
System reduction-based approximate reanalysis method for statically indeterminate structures with high-rank modification
por: Li, Wenxiong, et al.
Publicado: (2023)
por: Li, Wenxiong, et al.
Publicado: (2023)
Inference in the presence of model-form uncertainties: Leveraging a prediction-oriented approach to improve uncertainty characterization
por: White, Rebekah, et al.
Publicado: (2026)
por: White, Rebekah, et al.
Publicado: (2026)
Hybrid high-order methods for elasto-acoustic wave propagation in the time domain
por: Mottier, Romain, et al.
Publicado: (2025)
por: Mottier, Romain, et al.
Publicado: (2025)
Projection-based model-order reduction via graph autoencoders suited for unstructured meshes
por: Magargal, Liam K., et al.
Publicado: (2024)
por: Magargal, Liam K., et al.
Publicado: (2024)
Hyper-reduction-free reduced-order Newton solvers for projection-based model-order reduction of nonlinear dynamical systems
por: Magargal, Liam K., et al.
Publicado: (2026)
por: Magargal, Liam K., et al.
Publicado: (2026)
Design of chemical recycling processes for PUR foam under uncertainty
por: Lotz, Patrick, et al.
Publicado: (2025)
por: Lotz, Patrick, et al.
Publicado: (2025)
Elastic-gap free strain gradient crystal plasticity model that effectively account for plastic slip gradient and grain boundary dissipation
por: Mukherjee, Anjan, et al.
Publicado: (2024)
por: Mukherjee, Anjan, et al.
Publicado: (2024)
A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems
por: Vlachas, Konstantinos, et al.
Publicado: (2024)
por: Vlachas, Konstantinos, et al.
Publicado: (2024)
Bayesian estimation and uncertainty quantification of a temperature-dependent thermal conductivity
por: Silva, Rodrigo L. S., et al.
Publicado: (2024)
por: Silva, Rodrigo L. S., et al.
Publicado: (2024)
Computational design of personalized drugs via robust optimization under uncertainty
por: Altunay, Rabia, et al.
Publicado: (2025)
por: Altunay, Rabia, et al.
Publicado: (2025)
A comparative study of micromorphic gradient-extensions for anisotropic damage at finite strains
por: van der Velden, Tim, et al.
Publicado: (2023)
por: van der Velden, Tim, et al.
Publicado: (2023)
Deformation gradient averaging regularization for third medium contact
por: Faltus, Ondřej, et al.
Publicado: (2026)
por: Faltus, Ondřej, et al.
Publicado: (2026)
On the efficiency of explicit and semi-explicit immersed boundary finite element methods for wave propagation problems
por: Bürchner, Tim, et al.
Publicado: (2025)
por: Bürchner, Tim, et al.
Publicado: (2025)
Bayesian uncertainty analysis for underwater 3D reconstruction with neural radiance fields
por: Lian, Haojie, et al.
Publicado: (2024)
por: Lian, Haojie, et al.
Publicado: (2024)
Efficient damage simulations under material uncertainties in a weakly-intrusive implementation
por: Geisler, Hendrik, et al.
Publicado: (2024)
por: Geisler, Hendrik, et al.
Publicado: (2024)
Mitigation of multi-path propagation artefacts in acoustic targets with adaptive cepstral filtering
por: Domingos, Lucas C. F., et al.
Publicado: (2025)
por: Domingos, Lucas C. F., et al.
Publicado: (2025)
Elasto-acoustic wave propagation in geophysical media using hybrid high-order methods on general meshes
por: Mottier, Romain, et al.
Publicado: (2025)
por: Mottier, Romain, et al.
Publicado: (2025)
Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems
por: Sharma, Harsh, et al.
Publicado: (2024)
por: Sharma, Harsh, et al.
Publicado: (2024)
Parameter identification and uncertainty propagation of hydrogel coupled diffusion-deformation using POD-based reduced-order modeling
por: Agarwal, Gopal, et al.
Publicado: (2024)
por: Agarwal, Gopal, et al.
Publicado: (2024)
Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing
por: Chiappetta, Mihaela, et al.
Publicado: (2023)
por: Chiappetta, Mihaela, et al.
Publicado: (2023)
A hyperreduced manifold learning approach to nonlinear model order reduction for the homogenisation of hyperelastic RVEs
por: Faust, Erik, et al.
Publicado: (2025)
por: Faust, Erik, et al.
Publicado: (2025)
Quantum Computing for Multi Period Asset Allocation
por: Sun, Queenie, et al.
Publicado: (2024)
por: Sun, Queenie, et al.
Publicado: (2024)
Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
por: Loukrezis, Dimitrios, et al.
Publicado: (2023)
por: Loukrezis, Dimitrios, et al.
Publicado: (2023)
How to introduce an initial crack in phase field simulations to accurately predict the linear elastic fracture propagation threshold?
por: Loiseau, Flavien, et al.
Publicado: (2025)
por: Loiseau, Flavien, et al.
Publicado: (2025)
Clustering doc2vec output for topic-dimensionality reduction: A MITRE ATT&CK calibration
por: Monnet, Nathan, et al.
Publicado: (2024)
por: Monnet, Nathan, et al.
Publicado: (2024)
A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics
por: Scheunemann, Lisa, et al.
Publicado: (2024)
por: Scheunemann, Lisa, et al.
Publicado: (2024)
equilibrium-c: A Lightweight Modern Equilibrium Chemistry Calculator for Hypersonic Flow Applications
por: Gibbons, Nicholas N.
Publicado: (2024)
por: Gibbons, Nicholas N.
Publicado: (2024)
Bayesian Updating of constitutive parameters under hybrid uncertainties with a novel surrogate model applied to biofilms
por: Fritsch, Lukas, et al.
Publicado: (2025)
por: Fritsch, Lukas, et al.
Publicado: (2025)
Hexahedral mesh of anatomical atlas for construction of computational human brain models: Applications to modeling biomechanics and bioelectric field propagation
por: Huynh, Andy, et al.
Publicado: (2024)
por: Huynh, Andy, et al.
Publicado: (2024)
Exponential time propagators for elastodynamics
por: Pari, Paavai, et al.
Publicado: (2024)
por: Pari, Paavai, et al.
Publicado: (2024)
Efficient low rank model order reduction of vibroacoustic problems under stochastic loads
por: Hüpel, Yannik, et al.
Publicado: (2024)
por: Hüpel, Yannik, et al.
Publicado: (2024)
Interpretable domain knowledge enhanced machine learning framework on axial capacity prediction of circular CFST columns
por: Wang, Dian, et al.
Publicado: (2024)
por: Wang, Dian, et al.
Publicado: (2024)
Ejemplares similares
-
Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method
por: Wang, Bingran, et al.
Publicado: (2024) -
Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification
por: Wang, Bingran, et al.
Publicado: (2024) -
Accelerating model evaluations in uncertainty propagation on tensor grids using computational graph transformations
por: Wang, Bingran, et al.
Publicado: (2023) -
A comparative study of uncertainty quantification methods in gust response analysis of a Lift-Plus-Cruise eVTOL aircraft wing
por: Wang, Bingran, et al.
Publicado: (2025) -
Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach
por: Wang, Bingran, et al.
Publicado: (2024)