Oliver Rheinbach
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126
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Comp. Eng.×1ML×1
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2026
Machine Learning Surrogate Modeling for Homogenization of Hyperelastic Materials with Boolean Microstructures
This paper develops a supervised machine learning surrogate model, using a neural network, to predict the effective Lamé parameters of hyperelastic composites based on low-dimensional microstructural descriptors.
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