Neutrons are a very particular particle, with wide and unique applications for both fundamental studies and as a probe. Thermal neutrons are detected by nuclear interactions, in which their energy information is lost. This project, following on from a proof of concept and a statistical investigation of using the cross section variation of the interaction with energy to extract the neutron energy, will use these in combination with AI/machine learning to produce a practical algorithm to determining the neutron energy and the limits of the technique with multilayer detectors. It will also look at the experimental implement and verification of this. The outcome is a determination of the thermal neutron’s energy and an algorithm to do so in a realisable detector, which is very much the holy grail of neutron detection.