Main features of the code:

• The automatic calibration of a mesoscopic mechanical constitutive model of composite material for a series of RVE simulations,
• The machine learning prediction (trained with the dataset produced from the previous step) of the constitutive parameters of the mesoscopic model for any new set of inputs

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Relevant publications

• D. Field, J.-M. Peña and A. Jérusalem. Machine learning based constitutive modelling for composite materials: application to brain white matter. Computational Mechanics, Under review