Abstract:Two approaches are presented to improve the capabilities of machine learning models in multi- scale modeling for microstructure homogenization (graphical abstract in Fig. 1). The first approach features a Bayesian data mining scheme with a human in the loop, halving the prediction error com- pared to [1] using four novel efficient to evaluate feature descriptors. The second purely machine learning driven approach utilizes convolutional neural networks, where we introduce a novel mod- ule, designed to capture c… Show more
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