This repository contains sample code associated with the the manuscript "Enhancing drinking water quality modeling: Leveraging Physics Informed Neural Networks (PINNs) for learning with incomplete reaction models and data" submitted for review. This page will be updated upon publication with the citation of the paper. The code in this repository can be used to reproduce results shown in Figures 2 and 4 in the manuscript.