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Equivariant graph convolutional neural networks for the representation
  of homogenized anisotropic microstructural mechanical response

Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response

5 April 2024
Ravi G. Patel
C. Safta
Reese E. Jones
    AI4CE
ArXivPDFHTML

Papers citing "Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response"

4 / 4 papers shown
Title
Deep learning and multi-level featurization of graph representations of
  microstructural data
Deep learning and multi-level featurization of graph representations of microstructural data
Reese E. Jones
C. Safta
A. Frankel
AI4CE
30
4
0
29 Sep 2022
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
190
1,229
0
08 Jan 2021
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
173
596
0
22 Sep 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
1