  We present a novel method for using Neural Networks (NNs) for finding
solutions to a class of Partial Differential Equations (PDEs). Our method
builds on recent advances in Neural Radiance Field research (NeRFs) and allows
for a NN to converge to a PDE solution much faster than classic Physically
Informed Neural Network (PINNs) approaches.
