An autoencoder‐based reduced‐order model for eigenvalue problems with application to neutron diffusion

Abstract Using an autoencoder for dimensionality reduction, this article presents a novel projection‐based reduced‐order model for eigenvalue problems. Reduced‐order modeling relies on finding suitable basis functions which define a low‐dimensional space in which a high‐dimensional system is approxi... View More