Hello,
I am trying to evaluate the quality of predictions made using a trained model in PhysiscsAI.
It seems to me that the model, trained with more than 250 result files, reaches a good quality.
This can be stated considering 2 aspects (as reported in the figure herunder):
- Minimal difference in MAE values between the model trained with TRAIN-DATA vs the model trained with TEST-DATA
- Low value of MAE with respect to the maximum contour value obtained in the corresponding simulations: the MAE is 2 order of magnitude smaller compared to the contour value.

Additionally, when I try to predict the contour value on new geometry, I obtain very high values of confidence (close or equal to 1) (see the image herunder)

Nevertheless, when I try to compare the prediction with the ''conventional'' simulation obtained from Optistruct (applied on the same geometry) I notice a similar stress distribution, but different values of the contour (comparing the max values of the scales reported in the image above and hereunder, there is a difference of almost 2x in the stress value)

So the questions are:
- Is my AI model of good quality?
- How can I compare the results obtained with Physics AI with the ones obtained with Optistruct in order to obtain useful information concerning the structural repsonse?
Thank you in advance.