A reproducible model-building pipeline for small-to-medium scientific datasets

Machine learning and predictive intelligence framework for materials behaviour, phase stability, and property forecasting.

AI-guided optimization of MIP/CIP polymer film synthesis using physics-informed data generation, ML surrogates (RF/MLP/GP), Latin Hypercube screening, and multi-objective Pareto optimization. Target: JOM 2026.