Description

This Master Prompt provides an integrated framework for transforming raw material-characterization measurements into quantitatively defensible, traceable and reproducible material parameters. It encompasses the complete analytical chain from raw-data acquisition and preprocessing through calibration, normalization, baseline correction, filtering, peak detection and fitting, image quantification, statistical analysis and parameter extraction, and extends to inverse characterization, constitutive-model calibration, numerical simulation, finite-element-assisted characterization, surrogate modelling, sensitivity analysis, parameter identifiability, uncertainty quantification, independent validation and reproducibility assessment.