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Introducing a microstructure-embedded autoencoder approach for
  reconstructing high-resolution solution field data from a reduced parametric
  space

Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space

3 May 2024
Rasoul Najafi Koopas
Shahed Rezaei
N. Rauter
Richard Ostwald
R. Lammering
    AI4CE
ArXivPDFHTML

Papers citing "Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space"

3 / 3 papers shown
Title
A finite element-based physics-informed operator learning framework for
  spatiotemporal partial differential equations on arbitrary domains
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
Yusuke Yamazaki
Ali Harandi
Mayu Muramatsu
A. Viardin
Markus Apel
T. Brepols
Stefanie Reese
Shahed Rezaei
AI4CE
26
12
0
21 May 2024
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
75,445
0
18 May 2015
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
86
290
0
02 Oct 2012
1