# Service: Material Parameter Estimation and Prediction

Material tests come most of the time in the form of force-deflection curves like the one shown here. The aim of material modelling is the mathematical description of such curves dependent on all necessary parameters, like load conditions, geometry, material specs, etc.

As a first step one can try not to describe the complete curve but some of its characteristic features, such as the maximum force, the displacement attained at the time of the maximum force, some curve integrals associated with energies, etc. The application of machine learning models or other data mining procedures for this task helps to identify which are the main parameters that influence the material behaviour.

Often these characteristic features have some physical meaning and are themselves parameters needed by conventional analytical material models. The resulting models for the prediction of these parameters can then be used to calibrate and tune the analytical material models.