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Found 4 papers, 2 papers with code
Spiking neural networks for nonlinear regression
To overcome this problem, a framework for regression using spiking neural networks is proposed.
Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
The lightweight algorithm is able to learn the underlying properties of the material from a single microCT-scan without the need of explicit descriptors.
A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures
Three numerical examples deal with the comparison of the presented method to the literature as well as the application to different microstructures.
Physics informed neural networks for continuum micromechanics
Recently, physics informed neural networks have successfully been applied to a broad variety of problems in applied mathematics and engineering.
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