Imagen de Portada

Uncertainty Quantification of Super-Resolution Flow Mapping in Liquid Metals using Ultrasound Localization Microscopy

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Weik, David, Dou, Zehua, Räbiger, Dirk, Vogt, Tobias, Eckert, Sven, Czarske, Jürgen, Büttner, Lars
Formato:	Preprint
Publicado:	2024
Materias:	Fluid Dynamics Applied Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Electrolyte spraying within H$_2$ bubbles during water electrolysis
por: Bashkatov, Aleksandr, et al.
Publicado: (2024)

Thermovelocimetric Characterization of Liquid Metal Convection in a Rotating Slender Cylinder
por: Xu, Yufan, et al.
Publicado: (2024)

Uncertainty Quantification and Flow Dynamics in Rotating Detonation Engines
por: Kumar, Vinay, et al.
Publicado: (2025)

Diffusivity-Free Turbulence in Liquid Metal Rotating Rayleigh-Bénard Convection Experiments
por: Abbate, Jewel A., et al.
Publicado: (2024)

Uncertainty Quantification in Resolvent Analysis of Experimental Wall-Bounded Turbulent Flows
por: Gomez, Salvador Rey, et al.
Publicado: (2025)

A Deep Learning Approach For Epistemic Uncertainty Quantification Of Turbulent Flow Simulations
por: Chu, Minghan, et al.
Publicado: (2024)

Generative Super-Resolution of Turbulent Flows via Stochastic Interpolants
por: Schiødt, Martin, et al.
Publicado: (2025)

Monitoring of Fluid Transport in Low Temperature Water Electrolyzers and Fuel Cells: Emerging Technologies and Future Prospects
por: Dou, Zehua, et al.
Publicado: (2025)

SIMR-NO: A Spectrally-Informed Multi-Resolution Neural Operator for Turbulent Flow Super-Resolution
por: Abid, Muhammad, et al.
Publicado: (2026)

Flow Reconstruction Using Spatially Restricted Domains Based on Enhanced Super-Resolution Generative Adversarial Networks
por: Yousif, Mustafa Z., et al.
Publicado: (2024)

Scanning Acoustic Microscopy for Quantifying Bubble Evolution in Alkaline Water Electrolyzers
por: Dou, Zehua, et al.
Publicado: (2024)

Adjoint-based Particle Forcing Reconstruction and Uncertainty Quantification
por: Domínguez-Vázquez, Daniel, et al.
Publicado: (2022)

Onsager Coefficients for Liquid Metal Flow in a Conduit under a Magnetic Field
por: Shanmugadas, Sindu E., et al.
Publicado: (2025)

High-Precision Surrogate Modeling for Uncertainty Quantification in Complex Slurry Flows
por: Elkarii, Marwane, et al.
Publicado: (2024)

Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements
por: Mousavi, Hanieh, et al.
Publicado: (2025)

Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow
por: Usman, Muhammad, et al.
Publicado: (2025)

Uncertainty Quantification for Multi-fidelity Simulations
por: Kumar, Swapnil
Publicado: (2025)

Uncertainty-Aware Spatiotemporal Super-Resolution Data Assimilation with Diffusion Models
por: Ayapilla, Aditya Sai Pranith, et al.
Publicado: (2026)

Uncertainty Quantification in Computational Fluid Dynamics: Physics and Machine Learning Based Approaches
por: Chu, Minghan
Publicado: (2023)

Towards Physics Constrained Deep Learning Based Turbulence Model Uncertainty Quantification
por: Chu, Minghan, et al.
Publicado: (2025)

Uncertainty Quantification of Drag Reduction over Superhydrophobic Surfaces by Unified Parameterizing Structure Spacing
por: Kim, Byeong-Cheon, et al.
Publicado: (2025)

OpenLB-UQ: An Uncertainty Quantification Framework for Incompressible Fluid Flow Simulations
por: Zhong, Mingliang, et al.
Publicado: (2025)

Predictive Model and Optimization of Micromixers Geometry using Gaussian Process with Uncertainty Quantification and Genetic Algorithm
por: Maionchi, Daniela de Oliveira, et al.
Publicado: (2024)

Physics-Guided Machine Learning for Uncertainty Quantification in Turbulence Models
por: Chu, Minghan, et al.
Publicado: (2025)

Physics Constrained Deep Learning For Turbulence Model Uncertainty Quantification
por: Chu, Minghan, et al.
Publicado: (2024)

Comprehensive Study of 3D Liquid Flow Fields in Additive Manufactured Structures for SMART Reactors Using Large-Scale Vertical Magnetic Resonance Imaging and Computational Fluid Dynamics
por: Merbach, Timo, et al.
Publicado: (2026)

Meshless Super-Resolution of Scattered Data via constrained RBFs and KNN-Driven Densification
por: Tirelli, Iacopo, et al.
Publicado: (2025)

Uncertainty and Error Quantification for Data-Driven Reynolds-Averaged Turbulence Modelling with Mean-Variance Estimation Networks
por: Man, Anthony, et al.
Publicado: (2025)

Helicity oscillations in Rayleigh-Bénard convection of liquid metal in a cell with aspect ratio 0.5
por: Mitra, R., et al.
Publicado: (2024)

Probabilistic Eddy Identification with Uncertainty Quantification
por: Covington, Jeffrey, et al.
Publicado: (2024)

HOSVD-SR: A Physics-Based Deep Learning Framework for Super-Resolution in Fluid Dynamics
por: Barragán, Guillermo, et al.
Publicado: (2025)

Implicit Augmentation from Distributional Symmetry in Turbulence Super-Resolution
por: Balla, Julia, et al.
Publicado: (2025)

High Resolution and High-Speed Live Optical Flow Velocimetry
por: Pimienta, Juan, et al.
Publicado: (2025)

From Geostrophic to Magnetically-Damped Turbulence in Liquid Metal Rotating Magnetoconvection
por: Liu, Tao, et al.
Publicado: (2025)

Convolutional Neural Networks For Turbulent Model Uncertainty Quantification
por: Chu, Minghan, et al.
Publicado: (2024)

Uncertainties in Measurements of Bubbly Flows Using Phase-Detection Probes
por: Bürgler, Matthias, et al.
Publicado: (2024)

Efficient Computation of Large-Scale Statistical Solutions to Incompressible Fluid Flows
por: Rohner, Tobias, et al.
Publicado: (2024)

Particle-Laden Fluid on Flow Maps
por: Li, Zhiqi, et al.
Publicado: (2024)

ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations
por: Nista, Ludovico, et al.
Publicado: (2024)

A geometric interpolation scheme for applying dynamic wetting to three-dimensional volume of fluid simulations
por: Han, Yifan, et al.
Publicado: (2025)