fig9
![Taking materials dynamics to new extremes using machine learning interatomic potentials](https://image.oaes.cc/d8e9f3d3-419e-442f-b38a-1f98bd5ff6b7/4486.fig.9.jpg)
Figure 9. Evolution of test error as functions of computational cost for Gaussian approximation potential (GAP), moment tensor potential (MTP), neural network potential (NNP), spectral neighbor analysis potential (SNAP), and quadratic spectral neighbor analysis potential (qSNAP) for bcc Mo[63].