:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lee, Sangjoon, Sheikh, Haris Moazam
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Fluid Dynamics
Online Access:	https://arxiv.org/abs/2510.16020
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Airfoil Optimization using Design-by-Morphing
by: Sheikh, Haris Moazam, et al.
Published: (2022)

Optimized Fish Locomotion using Design-by-Morphing and Bayesian Optimization
by: Farooq, Hamayun, et al.
Published: (2025)

Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning
by: Liu, Xuemin, et al.
Published: (2025)

NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
by: Sharpe, Peter, et al.
Published: (2025)

Loop2Net: Data-Driven Generation and Optimization of Airfoil CFD Meshes from Sparse Boundary Coordinates
by: Fan, Lushun, et al.
Published: (2025)

FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields
by: Ogbuagu, Kenechukwu, et al.
Published: (2025)

Shocks Under Control: Taming Transonic Compressible Flow over an RAE2822 Airfoil with Deep Reinforcement Learning
by: Mondal, Trishit, et al.
Published: (2025)

Accelerated Airfoil Design Using Neural Network Approaches
by: Patel, Anantram, et al.
Published: (2025)

Transient growth of a wake vortex and its initiation via inertial particles
by: Lee, Sangjoon, et al.
Published: (2024)

Linear stability analysis of wake vortices by a spectral method using mapped Legendre functions
by: Lee, Sangjoon, et al.
Published: (2022)

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
by: Yagoubi, Mouadh, et al.
Published: (2024)

Accelerating Bayesian inverse design in computational fluid dynamics using neural operators
by: Tiwari, Bipin, et al.
Published: (2026)

Large Airfoil Models
by: Lee, Howon, et al.
Published: (2024)

Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design
by: Yang, Yunjia, et al.
Published: (2026)

Periodicity-Enforced Neural Network for Designing Deterministic Lateral Displacement Devices
by: Lee, Andrew, et al.
Published: (2025)

Identifying recurrent flows in high-dimensional dissipative chaos from low-dimensional embeddings
by: Beck, Pierre, et al.
Published: (2026)

Adjoint-based shape optimization of a ship hull using a Conditional Variational Autoencoder (CVAE) assisted propulsion surrogate model
by: Maram, Moloud Arian, et al.
Published: (2026)

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
by: Robledo, Isaac, et al.
Published: (2026)

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design
by: Wu, Chenxi, et al.
Published: (2025)

SuperWing: a comprehensive transonic wing dataset for data-driven aerodynamic design
by: Yang, Yunjia, et al.
Published: (2025)

Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence
by: Atif, Mohammad, et al.
Published: (2024)

Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
by: Gupta, Priyam, et al.
Published: (2023)

Hierarchic Flows to Estimate and Sample High-dimensional Probabilities
by: Lempereur, Etienne, et al.
Published: (2024)

Differentiable Turbulence: Closure as a partial differential equation constrained optimization
by: Shankar, Varun, et al.
Published: (2023)

Mesh-Agnostic Decoders for Supercritical Airfoil Prediction and Inverse Design
by: Li, Runze, et al.
Published: (2024)

Machine-learning-based multipoint optimization of fluidic injection parameters for improving nozzle performance
by: Yang, Yunjia, et al.
Published: (2024)

Data-driven low-dimensional model of a sedimenting flexible fiber
by: Fox, Andrew J, et al.
Published: (2024)

Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection
by: Vasanth, Joel, et al.
Published: (2024)

Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
by: Csala, Hunor, et al.
Published: (2024)

Airfoil Synchronous Surging and Pitching
by: Strangfeld, C., et al.
Published: (2024)

Perturbation analysis of triadic resonance in columnar vortices: selection rules and the roles of external forcing and critical layers
by: Wang, Jinge, et al.
Published: (2024)

Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis
by: Chen, Bo, et al.
Published: (2026)

Diffusion Model Driven Airfoil Design: From Geometry Encoding to Practical Applications
by: Geng, Yingfan, et al.
Published: (2026)

Non-intrusive Learning of Physics-Informed Spatio-temporal Surrogate for Accelerating Design
by: Mondal, Sudeepta, et al.
Published: (2026)

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
by: Liu, Qiang, et al.
Published: (2023)

Sensor optimization for urban wind estimation with cluster-based probabilistic framework
by: Liang, Yutong, et al.
Published: (2025)

Inverse Design of Optimal Stern Shape with Convolutional Neural Network-based Pressure Distribution
by: Oh, Sang-jin, et al.
Published: (2025)

Predicting Flow Dynamics using Diffusion Models
by: Gachnang, Yannick, et al.
Published: (2025)

Analysis of tidal flows through the Strait of Gibraltar using Dynamic Mode Decomposition
by: Dias, Sathsara, et al.
Published: (2023)

XRePIT: A deep learning-computational fluid dynamics hybrid framework implemented in OpenFOAM for fast, robust, and scalable unsteady simulations
by: Baral, Shilaj, et al.
Published: (2025)