In the previous section, NNs trained to approximate the LS method are applied to mix single black-white initial conditions for longer time-horizons. The NNs, having been trained on all descendant configurations as well, should be able to begin a longer time-horizon mixing procedure from any configuration in the training or validation datasets, i.e., LS descendant configurations. Furthermore, beginning from a LS method produced mixing step 𝑁 > 0 removes some accumulated error from the system, which potentially allows more configurations to reach an optimally mixed state (with respect to the number of interfaces) at 𝑁 = 31.