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A Python-based automated processing and visualization tool for thermogravimetric analysis (TGA) data, specifically designed for materials science research.
An automated, reproducible ML pipeline for materials science. Features nested cross-validation, Bayesian optimization, and SHAP-based physical attribution to combat overfitting.