The desirable new property of PM-DDNN with the parametrically managed activation function of Section 3.3 is that it damps the interaction potential to zero at large separation distances. This builds physical extrapolation into the results of the neural network. To assess this property for the results obtained by PM-DDNN, we computed GTrV𝐔 @2 (𝐑)WG, and and d indicate the regions with JTrV𝐔 @2 (𝐑)W Trk𝐔 A2 (𝐑)m y J < 0.1%. We conclude from Figure that PM-DDNN achieves a physical fit at large separation distances, which was the primary objective of the present work.