Importance

Loading Importance Indicators...

Abstract

A method for training a Deep Material Network-based neural network configured to predict a macroscopical physical property of a multi-scale material. The multi-scale material comprises one or more components. The method includes obtaining a dataset, each entry of the dataset corresponding to a respective multi-scale material object. The entry includes a tensor describing the physical property of the object at a macroscopical level, one or more tensors each describing the physical property of a component of the object at a microscopical level, and one or more morphological parameters each describing a morphology of the object. The method further includes training, based on the dataset, the neural network to predict a tensor describing the physical property of a multi-scale material object at a macroscopical level based on the one or more tensors for the object and based on the one or more morphological parameters for the object.

Loading the Abstract Image...

First Claim