DLD Device Configurations Testing Dataset

该数据集包含了239个数据点，旨在测试神经网络，覆盖了频率、障碍物数量和雷诺数不同参数范围。具体来说，该数据集由频率在0.25至0.75之间，步长为0.06的不同值组成，障碍物数量N分别为3、4、5、6，雷诺数Re分别为0.05、1.5、6.5、8.5、12.5和18.5。该数据集规模为239个数据点，其任务是测试神经网络在预测DLD配置的速度场和临界直径方面的性能。

This dataset comprises 239 data points, developed for evaluating neural networks, and covers diverse parameter ranges including frequency, number of obstacles and Reynolds number. Specifically, the frequency values span from 0.25 to 0.75 with a step size of 0.06; the number of obstacles N takes four discrete values: 3, 4, 5 and 6; and the Reynolds number Re has six distinct values: 0.05, 1.5, 6.5, 8.5, 12.5 and 18.5. The task of this dataset is to evaluate the performance of neural networks in predicting the velocity field and critical diameter of DLD configurations.