We show results pertaining to two of the 20 independent runs for the SA algorithms used to find microstructures that maximize (or alternatively minimize) cation diffusivity as discussed in Section 2.4. For the SA algorithm to maximize diffusivity, the CNN-predicted diffusivities converge to an optimal value as shown in Figure . From the results displayed in Figure , it is seen that the control parameter D * k is changed slowly enough such that the acceptance rate steadily decreases from an initial value of 1 to 0, indicating convergence to the optimal solution. Similarly, the results presented in Figure ,d indicate converged solution for the SA algorithm to minimize diffusivity.