:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Feldmann, Daniel, Umair, Mohammad, Avila, Marc, von Kameke, Alexandra
Format:	Preprint
Publié:	2020
Sujets:	Fluid Dynamics Data Analysis, Statistics and Probability
Accès en ligne:	https://arxiv.org/abs/2008.03535
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Causal analysis of inner and outer motions in near-wall turbulence
par: Zhang, Jingxuan, et autres
Publié: (2024)

Drag prediction of rough-wall turbulent flow using data-driven regression
par: Shi, Zhaoyu, et autres
Publié: (2024)

Two-component inner--outer scaling model for the wall-pressure spectrum at high Reynolds number
par: Massey, Jonathan M. O., et autres
Publié: (2025)

Information-theoretic characterization of turbulence intermittency
par: Sarkar, Shreyashri, et autres
Publié: (2025)

Pipe flow simulation data illustrating the influence of filter kernels on the scale-energetics of near-wall turbulence
par: Feldmann, Daniel, et autres
Publié: (2025)

Relationship between unpredictability and intermittency in shell models of turbulence and experiments
par: Frogé, Ewen, et autres
Publié: (2025)

Structure functions and flatness of streamwise velocity in a turbulent channel flow
par: Granero-Belinchon, Carlos, et autres
Publié: (2025)

Modeling late-time sensitivity to initial conditions in Boussinesq Rayleigh-Taylor turbulence
par: Thévenin, Sébastien, et autres
Publié: (2025)

Higher order moments of scalar within a plume in a turbulent boundary layer
par: Pang, Miaoyan, et autres
Publié: (2026)

Inferring parameters and reconstruction of two-dimensional turbulent flows with physics-informed neural networks
par: Parfenyev, Vladimir, et autres
Publié: (2024)

Learning fluid physics from highly turbulent data using sparse physics-informed discovery of empirical relations (SPIDER)
par: Gurevich, Daniel R., et autres
Publié: (2021)

On the risk of fatigue failure of structural elements exposed to bottom wave slamming -- Impulse response regime
par: Hascoët, Romain, et autres
Publié: (2023)

Bispectral decomposition and energy transfer in a turbulent jet
par: Nekkanti, Akhil, et autres
Publié: (2025)

Policy heterogeneity improves collective olfactory search in 3-D turbulence
par: Piro, Lorenzo, et autres
Publié: (2025)

The Closure Challenge: a benchmark task for machine learning in turbulence modelling
par: McConkey, Ryley, et autres
Publié: (2026)

Stochastic reduced-order Koopman model for turbulent flows
par: Chu, Tianyi, et autres
Publié: (2025)

Towards a Statistical Validation of the Critical Wave Groups Method for Free-Running Vessels in Beam Seas
par: Silva, Kevin M., et autres
Publié: (2025)

Depth-Aware Machine Learning Framework for Bubble Characterization in Two-Phase Flows
par: Nayak, Chaitanya S, et autres
Publié: (2026)

Data-driven modeling of multivariate stochastic trajectories -- Application to water waves
par: Hascoët, Romain
Publié: (2025)

Maximum Likelihood Particle Tracking in Turbulent Flows via Sparse Optimization
par: Kearney, Griffin M, et autres
Publié: (2026)

Rediscovering shallow water equations from experimental data
par: Heinrich, Kjell S., et autres
Publié: (2025)

Reconstruction of three-dimensional fluid stress field via photoelasticity using physics-informed convolutional encoder-decoder
par: Igarashi, Daichi, et autres
Publié: (2025)

An a posteriori data-driven method for phase-averaged optical measurements
par: Amico, Enrico, et autres
Publié: (2025)

High-Precision Surrogate Modeling for Uncertainty Quantification in Complex Slurry Flows
par: Elkarii, Marwane, et autres
Publié: (2024)

Extracting self-similarity from data
par: Bempedelis, Nikos, et autres
Publié: (2024)

Intermittency-Driven Turbulence Cascade Memory Extends the Markov-Einstein Coherence Length Beyond the Canonical Estimate
par: Ju, Y. Sungtaek
Publié: (2026)

Analog-Based Forecasting of Turbulent Velocity: Relationship between Unpredictability and Intermittency
par: Frogé, Ewen, et autres
Publié: (2024)

Decomposing causality into its synergistic, unique, and redundant components
par: Martínez-Sánchez, Álvaro, et autres
Publié: (2024)

The search for the gust-wing interaction "textbook"
par: Olivucci, Paolo, et autres
Publié: (2026)

Observational causality by states and interaction type for scientific discovery
par: Martínez-Sánchez, Álvaro, et autres
Publié: (2025)

UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows
par: Kanchi, Rohit Sunil, et autres
Publié: (2025)

Flow field tomography with uncertainty quantification using a Bayesian physics-informed neural network
par: Molnar, Joseph P., et autres
Publié: (2021)

Estimating density, velocity, and pressure fields in supersonic flow using physics-informed BOS
par: Molnar, Joseph P., et autres
Publié: (2022)

Neural optical flow for planar and stereo PIV
par: Masker, Andrew I., et autres
Publié: (2024)

Experimentally Resolving Gravity-Capillary Wave Evolution in Vessels of Unknown Boundary Conditions
par: Gregory, Sean M. D., et autres
Publié: (2026)

Data-driven pressure field prediction for ships in regular sea states
par: Loft, Malte, et autres
Publié: (2025)

Developing a Model-Consistent Reduced-Dimensionality training approach to quantify and reduce epistemic uncertainty in separated flows
par: Chu, Minghan
Publié: (2024)

Spatio-temporal analysis of sprays by using Phase Doppler Anemometry data
par: Rácza, Erika, et autres
Publié: (2025)

Convolutional Neural Networks For Turbulent Model Uncertainty Quantification
par: Chu, Minghan, et autres
Publié: (2024)

Analysis of thermochemical non-equilibrium hypersonic flow over a waverider with uncertainty quantification
par: Redding, Jeremy, et autres
Publié: (2024)