Supplementary Visualization Results for: Data Assimilation Module by a Neural Physics Framework

This repository contains the supplementary visualization results associated with the manuscript entitled: "Data Assimilation Module by a Neural Physics Framework" The material includes qualitative analyses of Artificial Neural Network-based Data Assimilation (ANN-DA) applied to the Fluidity NN4PDEs framework for simulations of flow past a sphere at Reynolds number (Re = 1,000). The repository provides visualization reports comparing simulations with and without data assimilation under different source-term perturbation levels (3% and 10%) and assimilation frequencies (10, 20, 40, and 100 time steps). Only a representative subset of these results is included in the manuscript; the complete collection is provided to support reproducibility and detailed analysis.