Validation of atomistic models is critical to ensure their reliability. This is typically done by comparing the model predictions with experimental data. For example, the predicted mechanical properties of a nanomaterial can be compared with results from atomic force microscopy experiments. Additionally, different computational methods can be cross-validated against each other to ensure consistency.