2 papers
cond-mat.mtrl-sci2021
A graph based workflow for extracting grain-scale toughness from meso-scale experiments
Stylianos Tsopanidis, Shmuel Osovski
We introduce a novel machine learning computational framework that aims to compute the material toughness, after subjected to a short training process on a limited meso-scale exper…
eess.IV2019
Toward quantitative fractography using convolutional neural networks
Stylianos Tsopanidis, Raúl Herrero Moreno, Shmuel Osovski
The science of fractography revolves around the correlation between topographic characteristics of the fracture surface and the mechanisms and external conditions leading to their…