Consequently, this hybrid strategy mitigates the risk of overfitting to noise in the training data, enhancing generalization capabilities to unseen scenarios, leading to more robust and reliable predictions, as the R 2 score analysis showed. This synergy between the physics DEM simulation and DL enables a more comprehensive understanding of the underlying mechanisms at play, resulting in superior performance in predictive tasks.