11 citations · 13 across the 6 of their papers we have counts for
3 papers · 1 filter
Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks
Max Schwarzer, Bryce Rogan, Yadong Ruan +8
We propose a machine learning approach to address a key challenge in materials science: predicting how fractures propagate in brittle materials under stress, and how these material…
Degree Correlations Amplify the Growth of Cascades in Networks
Xin-Zeng Wu, Peter G. Fennell, Allon G. Percus +1
Networks facilitate the spread of cascades, allowing a local perturbation to percolate via interactions between nodes and their neighbors. We investigate how network structure affe…
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures
Justin Sunu, Blake Hunter, Allon G. Percus
Vehicle recognition and classification have broad applications, ranging from traffic flow management to military target identification. We demonstrate an unsupervised method for au…