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🏛️ The physics.flu-dyn Crypt
physics.flu-dyn: Where physics.flu-dyn papers rest without their code.
130
Total Papers
94
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0
Twilight
36
Has Code
27.7%
Survival Rate
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Efficient collective swimming by harnessing vortices through deep reinforcement learning
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NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
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Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D
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Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning
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From Deep to Physics-Informed Learning of Turbulence: Diagnostics
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Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning
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Comparative analysis of machine learning methods for active flow control
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Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation
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Using machine learning to construct velocity fields from OH-PLIF images
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A unified method of data assimilation and turbulence modeling for separated flows at high Reynolds numbers
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Visualization and Selection of Dynamic Mode Decomposition Components for Unsteady Flow
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A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
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Multi-scale data reconstruction of turbulent rotating flows with Gappy POD, Extended POD and Generative Adversarial Networks
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Emerging trends in machine learning for computational fluid dynamics
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Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime
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Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models
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Turbulence Scaling from Deep Learning Diffusion Generative Models
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Physics-informed neural networks for gravity currents reconstruction from limited data
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On the locality of local neural operator in learning fluid dynamics
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Reservoir computing based on solitary-like waves dynamics of film flows: a proof of concept
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FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries
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Variational Mode Decomposition-Based Nonstationary Coherent Structure Analysis for Spatiotemporal Data
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