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Parameters used in generating the Burgers dataset you are sharing
Hi,
I need to generate longer Burger trajectories. I think found the MATLAB files to solve the Burgers equation (I assume you follow this code https://github.com/PredictiveIntelligenceLab/Physics-informed-DeepONets/tree/main/Burger/Data). Can you please share which parameters you used to solve the trajectories in your public dataset?
Can you confirm these are the parameters used for the Gaussian random field? gamma = 4; tau = 5; sigma = 625;
However, I am not quite sure about the time and space discretization. Did you generate the data using the following values s = 1024; steps = 1000; nn = 1024; and then subsampled to get trajectories with 101 time-steps and 128 spatial discretization? Or which parameters did you use?
Thanks for the help!