Imagen de Portada

Machine Learning in Viscoelastic Fluids via Energy-Based Kernel Embedding

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Otto, Samuel E., Oishi, Cassio M., Amaral, Fabio, Brunton, Steven L., Kutz, J. Nathan
Formato:	Preprint
Publicado:	2024
Materias:	Fluid Dynamics Computational Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Data-Driven Discovery of a New Ginzburg-Landau Reduced-Order Model for Vortex Shedding
por: Williams, Joseph J., et al.
Publicado: (2024)

Drawing of Weakly Viscoelastic Fluid Tubes
por: Gu, Diandian, et al.
Publicado: (2024)

Elasto-Inertial Instability in Torsional Flows of Shear-Thinning Viscoelastic Fluids
por: More, Rishabh V., et al.
Publicado: (2023)

Flagellum Pumping Efficacy in Shear-Thinning Viscoelastic Fluids
por: Barrett, Aaron, et al.
Publicado: (2023)

Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network Approach
por: de Aguiar, Diego A., et al.
Publicado: (2024)

Spectral proper orthogonal decomposition of rapid snapshot pairs sampled at sub-Nyquist intervals
por: Cardinale, Caroline, et al.
Publicado: (2025)

Numerical Simulation of Jet Mode in Electrospraying of Newtonian and Viscoelastic Fluids
por: Panahi, Amirreza, et al.
Publicado: (2019)

Benchmarking the Immersed Boundary Method for Viscoelastic Flows
por: Gruninger, Cole, et al.
Publicado: (2023)

Extending the trapping theorem to provide local stability guarantees for quadratically nonlinear models
por: Peng, Mai, et al.
Publicado: (2024)

Capturing multiscale interactions in fluid flow via Lagrangian coherent structures and modal analysis
por: Jones, Morgan R., et al.
Publicado: (2024)

Leveraging three-dimensionality for navigation in bluff-body wakes
por: Godavarthi, Vedasri, et al.
Publicado: (2025)

Extending the aircraft flight envelope by mitigating transonic airfoil buffet
por: Lagemann, Esther, et al.
Publicado: (2024)

Challenges and Opportunities for Machine Learning in Fluid Mechanics
por: Mendez, M. A., et al.
Publicado: (2022)

Dipole Propagation in Inhomogeneous Strongly Coupled Dusty Plasmas: A Viscoelastic Fluid Approach
por: Rohit, Vipul B., et al.
Publicado: (2025)

Towards Quantum Machine Learning of Lattice Boltzmann Collision Operators for Fluid Dynamic Simulations
por: Itani, Wael, et al.
Publicado: (2025)

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility
por: Riva, Stefano, et al.
Publicado: (2025)

Near Wake Dynamics of a Cross-Flow Turbine Array
por: Scherl, Isabel, et al.
Publicado: (2025)

Preferential sampling enabled by particle finite size and anisotropic shape
por: Schreder, Helena E., et al.
Publicado: (2025)

Coarse graining and reduced order models for plume ejection dynamics
por: Salas, Ike Griss, et al.
Publicado: (2025)

Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
por: Moen, Kristoffer S., et al.
Publicado: (2025)

PLIC-Net: A Machine Learning Approach for 3D Interface Reconstruction in Volume of Fluid Methods
por: Cahaly, Andrew, et al.
Publicado: (2024)

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

Reduced-order modeling and classification of hydrodynamic pattern formation in gravure printing
por: Rothmann-Brumm, Pauline, et al.
Publicado: (2025)

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows
por: Fuchi, Kazuko W., et al.
Publicado: (2025)

On the Linear Stability of Partially and Fully Saturated Atmospheres to Moist Convection
por: Oishi, Jeffrey S., et al.
Publicado: (2024)

Data-Driven Modeling for On-Demand Flow Prescription in Fan-Array Wind Tunnels
por: Stefan-Zavala, Alejandro A., et al.
Publicado: (2024)

Projection-Based Solver for Viscoelastic Stokes Flow using FFTs
por: Rempfer, Georg, et al.
Publicado: (2025)

A deep learning approach to wall-shear stress quantification: From numerical training to zero-shot experimental application
por: Lagemann, Esther, et al.
Publicado: (2024)

CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics
por: Luo, Yining, et al.
Publicado: (2023)

DDFKs: Fluid Simulation with Dynamic Divergence-Free Kernels
por: Xing, Jingrui, et al.
Publicado: (2026)

A Nonlinear approach to Viscoelasticity via Rational Extended Thermodynamics
por: Ruggeri, Tommaso
Publicado: (2023)

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
por: Lagemann, Christian, et al.
Publicado: (2025)

Fluid-kinetic multiscale solver for wall-bounded turbulence
por: Chandran, Akshay, et al.
Publicado: (2025)

Stokes Waves in Finite Depth Fluids
por: Semenova, Anastassiya, et al.
Publicado: (2024)

OpenFOAMGPT: a RAG-Augmented LLM Agent for OpenFOAM-Based Computational Fluid Dynamics
por: Pandey, Sandeep, et al.
Publicado: (2025)

Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics
por: Williams, Chelsea A., et al.
Publicado: (2024)

Four-fifths laws in electron and Hall magnetohydrodynamic fluids: Energy, Magnetic helicity and Generalized helicity
por: Wang, Yanqing, et al.
Publicado: (2024)

Viscoelastic control of acoustic particle migration and trapping in microchannels
por: Sujith, T., et al.
Publicado: (2026)

Viscoelastic thin film lubrication in finite width channels
por: Ahmed, Humayun, et al.
Publicado: (2024)

Magnetic Pillar Induced Poiseuille-like Flow in Microfluidic Channels with Viscous and Viscoelastic Fluids
por: Moore, Charles Paul, et al.
Publicado: (2025)