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In Situ Framework for Coupling Simulation and Machine Learning with Applicati...
Recent years have seen many successful applications of machine learning (ML) to facilitate fluid dynamic computations. As simulations grow, generating new training datasets for... -
Shallow Water Equation
The dataset used for the advection augmented convolutional neural networks. -
PDEBench-SWE
The dataset used for the advection augmented convolutional neural networks. -
Block-structured Grids with Reynolds Numbers
The dataset used in the paper is a collection of block-structured grids with corresponding Reynolds numbers. -
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder
The dataset is used for benchmarking deep learning models on 2D laminar flow behind cylinder -
LES Dataset
The dataset is used to evaluate the performance of the machine learning models for computational fluid dynamics. -
Kolmogorov Flow Dataset
The dataset is used to train and evaluate the machine learning models for computational fluid dynamics. -
BFS simulation trajectories
The dataset used in this work is a collection of snapshots describing the evolution of two-component velocity fields in a cropped mesh of a backward-facing step (BFS)... -
Deep-Flow-Prediction
The dataset used for training and testing the deep learning models for Reynolds-Averaged Navier-Stokes simulations of airfoil flows.
