While the FI-NN achieved good results in double-precision samplings, the MLRNet can't converge after twenty sampling cycles. We are still unclear on the reason for the slow convergence of the MLRNet. It is a little bit surprising since the MLRNet is constrained by the physical potential function and is supposed to be easier to converge the uncertainty.