6 datasets found

The Kuramoto-Sivashinsky equation is a model for spatiotemporal chaos. The Kuramoto-Sivashinsky equation is expressed as: yt = −yyx − yxx − yxxxx

The dataset used in the paper is a 2D KS system with spatial inhomogeneities. The system is simulated on a grid of size 256x256.

The dataset used in the paper is a 2D KS system with periodic boundary conditions. The system is simulated on a grid of size 256x256.

The dataset used in the paper is a sliding-window approach with an extent of ℓ = 1 and a stride of s = 2. The dataset is a 256x256 grid with 512 nodes, and the state function is...

The dataset used for training and testing the neural network for linearizing the heat equation, Burgers equation, and Kuramoto-Sivashinsky equation.

The dataset used in this paper is not explicitly described, but it is mentioned that it contains four DAGs representing well-known exposure-outcome relationships in the medical...