  Neutral particle transport problems are fundamental in the modeling of energy
transfer by radiation (photons) and by neutrons with many important
applications. In this work, the novel ANN-MoC method for solving unidimensional
neutral particle transport problems is presented. Following the Method of
Discrete Ordinates (DOM) and decoupling with a Source Iteration (SI) scheme,
the proposed method applies Artificial Neural Networks (ANNs) together with the
Method of Characteristics (MoC) to solve the transport problem. Once the SI
scheme converges, the method gives an ANN that estimates the average flux of
particles at any points in the computational domain. Details of the proposed
method are given and results for two test cases are discussed. The achieve
results show the potential of this novel approach for solving neutral particle
transport problems.
