Dear Customer Support Team,
I am currently studying on stress prediction in physics AI module. So, I made different data sets to understand the philosophy of the Graph Context Neural simulator and evaluate the predictions.
First, I had different loading conditions on the studied first data set in model 1. Secondly, I had same loading conditions but different geometrical changes on the second data set in model 2. Number of data, inputs, outputs and hyper parameter settings are same in the two training models except loading conditions that I studied on.
In the results, I have only one close prediction result from same loading conditions on the second data set (model2). When I need to predict changed geometry and changed loading conditions, how can I reflect the changing to the training model to get close prediction result? Is there any option to select and change the loading conditions on training model section in physics AI module?
Kind regards,
Merve Kenter Ahrazoğlu
