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cond-mat.mtrl-sci2021
Deep Convolutional Neural Networks Predict Elasticity Tensors and their Bounds in Homogenization
Bernhard Eidel
In the present work, 3D convolutional neural networks (CNNs) are trained to link random heterogeneous, two-phase materials of arbitrary phase fractions to their elastic macroscale…
cond-mat.mtrl-sci2018
Estimating the Effective Elasticity Properties of a Diamond/-SiC Composite Thin Film by 3D Reconstruction and Numerical Homogenization
Bernhard Eidel, Ajinkya Gote, Marius Ruby +3
The main aim of the present work is to estimate the effective elastic stiffnesses of a two-phase diamond/-SiC composite thin film that is fabricated by chemical vapor deposition…