Material Characterization Using MATLAB/Python – Training Services

Material Characterization Using MATLAB/Python – Training Services focuses on computational approaches for analyzing and interpreting material properties using programming tools. The training covers data handling, visualization, and statistical analysis techniques relevant to materials research. Participants will learn how to process data from XRD, SEM, TEM, spectroscopy, and mechanical testing using MATLAB and Python libraries such as NumPy, pandas, and matplotlib. Emphasis is placed on automating workflows, developing custom scripts, and applying machine learning techniques for pattern recognition and predictive modeling in material characterization. Hands-on sessions guide learners in coding for microstructural quantification, property correlation, and performance prediction. By the end of the program, participants will be skilled in integrating computational tools with experimental data for advanced materials analysis.