Figure 2
From: DeepGreen: deep learning of Green’s functions for nonlinear boundary value problems
DeepGreen architecture. Two autoencoders learn invertible coordinate transformations that linearize a nonlinear boundary value problem. The latent space is constrained to exhibit properties of a linear system, including linear superposition, which enables discovery of a Green’s function for nonlinear boundary value problems.
