A Python library for thermal analysis and reaction kinetics. Supports DSC, TGA, and dilatometry with tools for model-fitting (JMAK, Kissinger), model-free (Friedman, KAS, OFW) analysis, data processing, and visualization.

A Materials Informatics project to predict key polymer properties using XGBoost. Includes an end-to-end MLOps pipeline and a live interactive demo deployed on Hugging Face Spaces.

Optimize smart coating formulations using genetic algorithms - AI meets materials science for better performance and lower cost.