We emphasize that the step of using a parametrically managed activation function can also be employed in other neural network architectures and contexts. One of the disadvantages of neural network potentials, as compared to ones designed with more human input, has been that they do not necessarily augment the mathematical steps with underlying human understanding, for example, by choosing a functional form that satisfies the known characters of the potentials.