Search Results for author:
Found 1 papers, 0 papers with code
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference
In this work we employ an encoder-decoder convolutional neural network to predict the failure locations of porous metal tension specimens based only on their initial porosities.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
