Data driven and simulations
Exploratory data analysis (PCA, MCR, cluster analysis). Quantitative regression techniques (MLR, PCR, PLSR, L-PLSR, SVM). Supervised classification techniques (SVM, PLS-DA, SIMCA, LDA). Artificial neural networks. Chemometrics in spectroscopy.
Single-physics, multiphysics, and surrogate modelling.
Software: Python, MATLAB, Unscrambler, COMSOL Multiphysics, StatEase DesignExpert, OriginLab, Orange Canvas.