Fig. 2. NN results on spectrum approximation.

(A) Training loss for the eight-shell case. The loss has sharp declines occasionally, suggesting that the NN is finding a pattern about the data at each point. (B) Comparison of NN approximation to the real spectrum, with the closest training examples shown here. One training example is the most similar particle larger than desired, and the other is the most similar particle smaller than desired. These results were consistent across many different spectra.