In Table , we compare the convergence of JAX-ReaxFF against the black box approaches. We observe significantly faster convergence in terms of both the number of evaluations required as well as the time taken, while obtaining similar or better training errors as measured by best and median scores. The entire optimization process takes slightly more than a minute on the GPU.