Cover Image

Lagrangian Phase-Lag and Geometric Precedence in Turbulent Vortex Stretching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Saqr, Khalid
Format:	Preprint
Published:	2026
Subjects:	Fluid Dynamics Mathematical Physics J.2; I.6.6; G.1.8
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pressure waves from air gun bubbles: a numerical analysis based on Finite Volume Method
by: Wang, Shi-Ping, et al.
Published: (2024)

Physics Informed Differentiable Solvers for Learning Parametric Solution Manifolds in Heterogeneous Physical Systems
by: Panahi, Milad, et al.
Published: (2026)

Gradient-enhanced PINN with residual unit for studying forward-inverse problems of variable coefficient equations
by: Zhou, Hui-Juan, et al.
Published: (2025)

Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response
by: Duswald, Tobias, et al.
Published: (2023)

Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions
by: Dominguez, Alejandro Rodriguez
Published: (2025)

Causal PDE-Control Models for Dynamic Portfolio Optimization with Latent Drivers
by: Dominguez, Alejandro Rodriguez
Published: (2025)

Extended Thermodynamic and Mechanical Evolution Criterion for Fluids
by: Hochberg, David, et al.
Published: (2024)

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators
by: Agia, Christopher, et al.
Published: (2024)

Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization
by: Duswald, Tobias, et al.
Published: (2024)

Wakefield Acceleration in a Layered Plasma Waveguide
by: Sotnikov, G. V., et al.
Published: (2026)

Room impulse response reconstruction with physics-informed deep learning
by: Karakonstantis, Xenofon, et al.
Published: (2024)

An unstructured geometrical un-split VOF method for viscoelastic two-phase flows
by: Niethammer, Matthias, et al.
Published: (2023)

Comparative analysis of graph randomization: Tools,methods, pitfalls, and best practices
by: De Clerck, Bart, et al.
Published: (2024)

Modelli idrodinamici per la verifica della dinamica di navi in avanzamento
by: Colagrossi, Andrea
Published: (2025)

Magneto-thermally Coupled Field Simulation of Homogenized Foil Winding Models
by: Weinert, Silas, et al.
Published: (2025)

Simulation Method of Microscale Fluid-Structure Interactions: Diffuse-Resistance-Domain Approach
by: Gao, Min, et al.
Published: (2024)

The Granule-In-Cell Method for Simulating Sand--Water Mixtures
by: Tang, Yizao, et al.
Published: (2025)

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study
by: Bayer, Daniel R., et al.
Published: (2025)

Parasitic hydrogen bubble evolution in vanadium redox flow batteries: A lattice Boltzmann study
by: Duan, K., et al.
Published: (2025)

WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
by: Cooper-Baldock, Zachary, et al.
Published: (2026)

Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
by: Höfler, Matthias, et al.
Published: (2025)

Adaptive grids as parametrized scale-free networks
by: Argentini, Gianluca
Published: (2005)

Exact Distributions for the Solutions of the Compressible Viscous Navier Stokes Differential Equations: An Application in the Aeronautical Industry
by: Meulens, Rensley A.
Published: (2025)

Cell agglomeration strategy for cut cells in eXtended discontinuous Galerkin methods
by: Toprak, Muhammed, et al.
Published: (2024)

Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance
by: Scheidegger, Simon
Published: (2026)

Operator learning on domain boundary through combining fundamental solution-based artificial data and boundary integral techniques
by: Wu, Haochen, et al.
Published: (2026)

Kinetic energy instability of pipe flow in finite domains
by: Giraudo, Chiara, et al.
Published: (2025)

Scale-free congestion clusters in large-scale traffic networks: a continuum modeling study
by: Chiba, Yuki, et al.
Published: (2026)

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
by: Maczuga, Paweł, et al.
Published: (2023)

A semi-Lagrangian method for the direct numerical simulation of crystallization and precipitation at the pore scale
by: Perez, Sarah, et al.
Published: (2024)

A Method of Fundamental Solutions for Large-Scale 3D Elastance and Mobility Problems
by: Broms, Anna, et al.
Published: (2024)

Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study
by: Fachada, Nuno, et al.
Published: (2026)

Systematic Alias Sampling: an efficient and low-variance way to sample from a discrete distribution
by: Vallivaara, Ilari, et al.
Published: (2025)

Investigation of ideal shear strength of dilute binary and ternary Ni-based alloys using first-principles calculations, CALPHAD modeling and correlation analysis
by: Lin, Shuang, et al.
Published: (2024)

Semigroup Consistency as a Diagnostic for Learned Physics Simulators
by: Shikhman, Lennon J.
Published: (2026)

Diagnosing Failure Modes of Neural Operators Across Diverse PDE Families
by: Shikhman, Lennon
Published: (2026)

(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
by: Lichtlé, Nathan, et al.
Published: (2025)

Linearization Turns Neural Operators into Function-Valued Gaussian Processes
by: Magnani, Emilia, et al.
Published: (2024)

Smart and Efficient IoT-Based Irrigation System Design: Utilizing a Hybrid Agent-Based and System Dynamics Approach
by: Pargo, Taha Ahmadi, et al.
Published: (2025)

Optimal Graph Stretching for Distributed Averaging
by: Dekker, Florine W., et al.
Published: (2025)