Specifically, the continual learning loss is implemented by freezing the weights of the pretraining model and minimizing discrepancies in energy and force predictions between the pretraining and the finetuning model during the finetuning process, as illustrated in . This approach ensures that the finetuning process does not introduce significant deviations from the pretraining model, thereby ensuring the original energy balance between components in the interaction energy calculation.