:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nagib, Hassan, Vinuesa, Ricardo, Hoyas, Sergio
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics
Online Access:	https://arxiv.org/abs/2405.14675
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Higher DNS-resolution requirements for expanded overlap region and confirmation of a convergence criterion
by: Hoyas, Sergio, et al.
Published: (2024)

Sensitivity study of resolution and convergence requirements for extended overlap region in wall-bounded turbulence
by: Hoyas, Sergio, et al.
Published: (2023)

Classically studied coherent structures only paint a partial picture of wall-bounded turbulence
by: Cremades, Andrés, et al.
Published: (2024)

Evidence of quasi equilibrium in pressure-gradient turbulent boundary layers
by: Baxerres, Victor, et al.
Published: (2023)

A method for evaluating relations of turbulent normal-stresses by experimental data over a wide range of Reynolds numbers
by: Nagib, Hassan, et al.
Published: (2024)

Explainable deep learning reveals the physical mechanisms behind the turbulent kinetic energy equation
by: Alcántara-Ávila, Francisco, et al.
Published: (2026)

Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer
by: Cremades, Andrés, et al.
Published: (2024)

Reynolds number required to accurately discriminate between proposed trends of skin friction and normal stress in wall turbulence
by: Nagib, Hassan, et al.
Published: (2023)

Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning
by: Cremades, A., et al.
Published: (2025)

High Reynolds number trends of centerline mean velocity and normal stress in pipe flow
by: Nagib, Hassan, et al.
Published: (2025)

Reconsiderations about inner layer of wall-bounded flows
by: Nagib, Hassan
Published: (2025)

Active and inactive contributions to the wall pressure and wall-shear stress in turbulent boundary layers
by: Deshpande, Rahul, et al.
Published: (2024)

Identifying regions of importance in wall-bounded turbulence through explainable deep learning
by: Cremades, Andres, et al.
Published: (2023)

Streamwise energy-transfer mechanisms in zero- and adverse-pressure-gradient turbulent boundary layers
by: Deshpande, Rahul, et al.
Published: (2024)

Prediction of flow and elastic stresses in a viscoelastic turbulent channel flow using convolutional neural networks
by: Balasubramanian, Arivazhagan G., et al.
Published: (2024)

Characteristics of active and inactive motions in high-Reynolds-number turbulent boundary layers
by: Deshpande, Rahul, et al.
Published: (2024)

Improving turbulence control through explainable deep learning
by: Beneitez, Miguel, et al.
Published: (2025)

Opposition control applied to turbulent wings
by: Wang, Yuning, et al.
Published: (2024)

The impact of finite span and wing-tip vortices on a turbulent NACA0012 wing
by: Toosi, Siavash, et al.
Published: (2023)

Validation of symmetry-induced high moment velocity and temperature scaling laws in a turbulent channel flow
by: Alcántara-Ávila, Francisco, et al.
Published: (2024)

Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows
by: Cavallazzi, Giorgio Maria, et al.
Published: (2024)

Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction
by: Tonti, Federica, et al.
Published: (2026)

Separation control applied to the turbulent flow around a NACA4412 wing section
by: Wang, Yuning, et al.
Published: (2025)

Active flow control of a turbulent separation bubble through deep reinforcement learning
by: Font, Bernat, et al.
Published: (2024)

Aspect-ratio effect on the wake of a wall-mounted square cylinder immersed in a turbulent boundary layer
by: Zampino, Gerardo, et al.
Published: (2024)

Physics-guided surrogate learning enables zero-shot control of turbulent wings
by: Wang, Yuning, et al.
Published: (2026)

Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements
by: Cuéllar, Antonio, et al.
Published: (2024)

Reynolds-number effects on the outer region of adverse-pressure-gradient turbulent boundary layers
by: Deshpande, Rahul, et al.
Published: (2023)

Upstream history quantification and scale-decomposed energy analysis for weak-to-strong adverse-pressure-gradient turbulent boundary layers
by: Mahajan, Atharva, et al.
Published: (2025)

Linear and nonlinear Granger causality analysis of turbulent duct flows
by: Lopez-Doriga, Barbara, et al.
Published: (2024)

Preliminary Study of the Effects of Leading-Edge Serration on a Two-Section Planar Wing in ground-effect at Low Reynolds Number
by: Lafond-Saunierr, Arnold, et al.
Published: (2025)

A Geometric Foundation for the Universal Laws of Turbulence
by: Sanchis-Agudo, Marcial, et al.
Published: (2025)

A Mixed-Metric Two-Field Framework for Turbulence: Emergent Stress Anisotropy and Wall Asymptotics from a Single Scalar
by: Sanchis-Agudo, Marcial, et al.
Published: (2026)

Lighthill's mechanism and vorticity cascade in the logarithmic layer of wall turbulence
by: Kumar, Samvit, et al.
Published: (2025)

Navigation in a Three-Dimensional Urban Flow using Deep Reinforcement Learning
by: Tonti, Federica, et al.
Published: (2025)

Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering
by: Mahajan, Atharva, et al.
Published: (2026)

Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
by: Suárez, P., et al.
Published: (2024)

Variational data assimilation in wall turbulence: From outer observations to wall stress and pressure
by: Wang, Mengze, et al.
Published: (2024)

Model-Agnostic AI Framework with Explicit Time Integration for Long-Term Fluid Dynamics Prediction
by: Yang, Sunwoong, et al.
Published: (2024)

Physics-informed deep-learning applications to experimental fluid mechanics
by: Eivazi, Hamidreza, et al.
Published: (2022)