Additionally, we acknowledge that any of the several publicly available MLP models, which have been pre-trained on larger DFT datasets, could have been used here instead of DeepMD-kit. While these architectures may show better performance in predicting energies and/or forces, previous work by Jaakkola et al. emphasizes the importance of using predicted physiochemical properties (e.g., diffusivity) as a metric of model performance.