DIPBA Kinetic Code Developed By Colin Bailey

This repository contains a Python-based kinetic modeling framework developed to simulate and analyze a complex Friedel–Crafts alkylation system. The code integrates systems of ordinary differential equations (ODEs) with Arrhenius temperature dependence to capture the behavior of key species, including the desired product (DIPBA) and multiple side-products. Built-in parameter estimation routines enable the fitting of experimental concentration-time data to extract meaningful kinetic constants, while visualization tools facilitate clear comparisons between experimental and simulated profiles. The modular design makes the code adaptable for other reaction networks, serving both as a research tool for mechanistic understanding and a teaching resource for chemical kinetics.