polymathic-ai/gray_scott_reaction_diffusion

该数据集涉及Gray-Scott反应扩散方程的图案形成。数据集包含了两种化学物质A和B的浓度随时间和空间变化的时间序列数据。通过改变不同的参数，可以从随机初始条件中形成多种静态和动态图案。数据集是使用数值方法生成的，并以图像形式存储。探索了多种参数和初始条件。README还提供了不同模型在数据集上的性能指标，并警告某些参数值可能达到平衡状态。

This dataset is related to pattern formation in the Gray-Scott reaction-diffusion equations. It contains time-series data of the concentrations of two chemical species, A and B, over time and space. The dataset explores the formation of various static and dynamic patterns from random initial conditions by altering different parameters. The data is generated using numerical methods and stored as images, with multiple sets of parameters and initial conditions investigated. The README also includes performance metrics for different models on the dataset and a warning about the possibility of reaching equilibrium for certain parameter values.