Challenges and Opportunities for Machine Learning in Fluid Mechanics
Fuente:
arXiv
Saved in:
| Main Authors: | Mendez, M. A., Dominique, J., Fiore, M., Pino, F., Sperotto, P., Berghe, J. Van den |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the choking mechanism in supersonic ejectors: a one-dimensional analysis of Reynolds-Averaged Navier Stokes simulations
by: Berghe, Jan Van den, et al.
Published: (2025)
by: Berghe, Jan Van den, et al.
Published: (2025)
An extension of the compound flow theory with friction between the streams and at the wall
by: Berghe, Jan Van den, et al.
Published: (2024)
by: Berghe, Jan Van den, et al.
Published: (2024)
A 1D Model for the Unsteady Gas Dynamics of Ejectors
by: Berghe, Jan Van den, et al.
Published: (2022)
by: Berghe, Jan Van den, et al.
Published: (2022)
Learning with Physical Constraints
by: Mendez, Miguel A., et al.
Published: (2025)
by: Mendez, Miguel A., et al.
Published: (2025)
Improved Greedy Identification of Latent Dynamics with Application to Fluid Flows
by: Ayoub, R., et al.
Published: (2024)
by: Ayoub, R., et al.
Published: (2024)
Optimal Control from a Fluid Dynamics Perspective
by: Pratt, J., et al.
Published: (2025)
by: Pratt, J., et al.
Published: (2025)
Competing Mechanisms at Vibrated Interfaces of Density-Contrast Fluids
by: Chu, Tianyi, et al.
Published: (2025)
by: Chu, Tianyi, et al.
Published: (2025)
Machine Learning in Viscoelastic Fluids via Energy-Based Kernel Embedding
by: Otto, Samuel E., et al.
Published: (2024)
by: Otto, Samuel E., et al.
Published: (2024)
Deep Learning-Based Prediction of High Explosive Induced Fluid Dynamics
by: VanGessel, Francis G., et al.
Published: (2025)
by: VanGessel, Francis G., et al.
Published: (2025)
Uncertainty Quantification in Computational Fluid Dynamics: Physics and Machine Learning Based Approaches
by: Chu, Minghan
Published: (2023)
by: Chu, Minghan
Published: (2023)
Drawing of Weakly Viscoelastic Fluid Tubes
by: Gu, Diandian, et al.
Published: (2024)
by: Gu, Diandian, et al.
Published: (2024)
Fluid Motion Makes the Bottle-Flip Challenge Mechanically Unintuitive But Viable
by: Morales, Patricio, et al.
Published: (2025)
by: Morales, Patricio, et al.
Published: (2025)
Absolute and convective instabilities in a liquid film over a substrate moving against gravity
by: Pino, Fabio, et al.
Published: (2023)
by: Pino, Fabio, et al.
Published: (2023)
Linear feedback control of liquid film on moving substrate via free-surface stresses
by: Pino, Fabio, et al.
Published: (2026)
by: Pino, Fabio, et al.
Published: (2026)
Data-driven turbulent heat flux modeling with inputs of multiple fidelity
by: Fiore, Matilde, et al.
Published: (2024)
by: Fiore, Matilde, et al.
Published: (2024)
Physics-informed Fourier Basis Neural Network for Fluid Mechanics
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Yield-Stress Fluid Mixing: Localization Mechanisms and Regime Transitions
by: Garmroodi, Mohammad Reza Daneshvar, et al.
Published: (2025)
by: Garmroodi, Mohammad Reza Daneshvar, et al.
Published: (2025)
Influence of Cavity Geometry on the Bubble Dynamics of Nucleate Pool Boiling
by: Whiting, M. S., et al.
Published: (2024)
by: Whiting, M. S., et al.
Published: (2024)
Lagrangian Stability Analysis Technique for Fluid Flows
by: Shinde, Vilas J.
Published: (2025)
by: Shinde, Vilas J.
Published: (2025)
Designing an Optimal Scoop for Holloman High-Speed Test Track Water Braking Mechanism using Computational Fluid Dynamics
by: Terrazas, Jose A., et al.
Published: (2024)
by: Terrazas, Jose A., et al.
Published: (2024)
Geometrically Parametrised Reduced Order Models for the Study of Hysteresis of the Coanda Effect in Finite Element-based Incompressible Fluid Dynamics
by: Bravo, J. R., et al.
Published: (2023)
by: Bravo, J. R., et al.
Published: (2023)
Virgin and Under-Investigated Areas of Research in Non-Newtonian Fluid Mechanics
by: Sochi, Taha
Published: (2025)
by: Sochi, Taha
Published: (2025)
Casting Computational Fluid Mechanics into a Convex Quadratic Optimization Framework
by: Sababha, Hussam, et al.
Published: (2025)
by: Sababha, Hussam, et al.
Published: (2025)
Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics
by: Guo, Chunyu, et al.
Published: (2024)
by: Guo, Chunyu, et al.
Published: (2024)
Fluid-inertia torques from particle-shape symmetry
by: Sundberg, L., et al.
Published: (2025)
by: Sundberg, L., et al.
Published: (2025)
Tones and upstream-travelling waves in ideally-expanded round impinging jets
by: Maia, Igor A., et al.
Published: (2024)
by: Maia, Igor A., et al.
Published: (2024)
Integral modelling and Reinforcement Learning control of 3D liquid metal coating on a moving substrate
by: Pino, Fabio, et al.
Published: (2025)
by: Pino, Fabio, et al.
Published: (2025)
Diffusive Braking of Penetrative Convection in Stably-Stratified Fluids
by: Hindman, Bradley W., et al.
Published: (2025)
by: Hindman, Bradley W., et al.
Published: (2025)
Vector Laplacian in Spherical Coordinates: An Unnoticed Typo in Landau and Lifshitz's Fluid Mechanics Course
by: Lebedev-Stepanov, Peter
Published: (2025)
by: Lebedev-Stepanov, Peter
Published: (2025)
On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics
by: Xu, Shengfeng, et al.
Published: (2024)
by: Xu, Shengfeng, et al.
Published: (2024)
Correlations for the Interphase Drag in the Two-Fluid Model of Gas--Liquid Flows through Packed-Bed Reactors
by: Nagrani, Pranay P., et al.
Published: (2024)
by: Nagrani, Pranay P., et al.
Published: (2024)
Spectrally Informed Learning of Fluid Flows
by: Shaffer, Benjamin D., et al.
Published: (2024)
by: Shaffer, Benjamin D., et al.
Published: (2024)
Integral modelling of weakly evaporating 3D liquid film with variable substrate heating
by: Pino, Fabio
Published: (2025)
by: Pino, Fabio
Published: (2025)
Fluid statics of a self-gravitating isothermal sphere of van der Waals' gas
by: Giordano, Domenico, et al.
Published: (2023)
by: Giordano, Domenico, et al.
Published: (2023)
Multi-Fidelity Machine Learning Applied to Steady Fluid Flows
by: Fuchi, Kazuko W., et al.
Published: (2025)
by: Fuchi, Kazuko W., et al.
Published: (2025)
Towards an AI Fluid Scientist: LLM-Powered Scientific Discovery in Experimental Fluid Mechanics
by: Feng, Haodong, et al.
Published: (2025)
by: Feng, Haodong, et al.
Published: (2025)
Flagellum Pumping Efficacy in Shear-Thinning Viscoelastic Fluids
by: Barrett, Aaron, et al.
Published: (2023)
by: Barrett, Aaron, et al.
Published: (2023)
Concerning the Use of Turbulent Flow Data for Machine Learning
by: Sardar, Mohammed, et al.
Published: (2024)
by: Sardar, Mohammed, et al.
Published: (2024)
Coalescing Clusters Unveil New Regimes of Frictional Fluid Mechanics
by: Yue, Haicen, et al.
Published: (2022)
by: Yue, Haicen, et al.
Published: (2022)
Towards Quantum Machine Learning of Lattice Boltzmann Collision Operators for Fluid Dynamic Simulations
by: Itani, Wael, et al.
Published: (2025)
by: Itani, Wael, et al.
Published: (2025)
Similar Items
-
On the choking mechanism in supersonic ejectors: a one-dimensional analysis of Reynolds-Averaged Navier Stokes simulations
by: Berghe, Jan Van den, et al.
Published: (2025) -
An extension of the compound flow theory with friction between the streams and at the wall
by: Berghe, Jan Van den, et al.
Published: (2024) -
A 1D Model for the Unsteady Gas Dynamics of Ejectors
by: Berghe, Jan Van den, et al.
Published: (2022) -
Learning with Physical Constraints
by: Mendez, Miguel A., et al.
Published: (2025) -
Improved Greedy Identification of Latent Dynamics with Application to Fluid Flows
by: Ayoub, R., et al.
Published: (2024)