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An efficient optimization based microstructure reconstruction approach
  with multiple loss functions

An efficient optimization based microstructure reconstruction approach with multiple loss functions

4 February 2021
Anindya Bhaduri
Ashwini Gupta
Audrey Olivier
L. Graham‐Brady
ArXiv (abs)PDFHTML

Papers citing "An efficient optimization based microstructure reconstruction approach with multiple loss functions"

5 / 5 papers shown
Generative adversarial framework to calibrate excursion set models for the 3D morphology of all-solid-state battery cathodes
Generative adversarial framework to calibrate excursion set models for the 3D morphology of all-solid-state battery cathodes
O. Furat
Sabrina Weber
Johannes Schubert
René Rekers
Maximilian Luczak
Erik Glatt
Andreas Wiegmann
Jürgen Janek
Anja Bielefeld
Volker Schmidt
199
1
0
21 Mar 2025
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure
  reconstruction from extremely small data sets
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data setsComputational materials science (Comput. Mater. Sci.), 2023
Yichi Zhang
P. Seibert
Alexandra Otto
Alexander Raßloff
M. Ambati
M. Kastner
SyDa
164
32
0
17 Feb 2023
Machine Learning in Heterogeneous Porous Materials
Machine Learning in Heterogeneous Porous Materials
Martha DÉli
H. Deng
Cedric G. Fraces
K. Garikipati
L. Graham‐Brady
...
H. Tchelepi
B. Važić
Hari S. Viswanathan
H. Yoon
P. Zarzycki
AI4CE
240
12
0
04 Feb 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian
  Optimal Experimental Design
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design
Yonatan Ashenafi
Piyush Pandita
Sayan Ghosh
OffRL
262
6
0
21 Dec 2021
Stress field prediction in fiber-reinforced composite materials using a
  deep learning approach
Stress field prediction in fiber-reinforced composite materials using a deep learning approach
Anindya Bhaduri
Ashwini Gupta
L. Graham‐Brady
AI4CE
212
179
0
01 Nov 2021
1
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