Published September 2022
| Version v1
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Supplementary material - Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate, Comput Methods Appl Mech Eng, 2022
Contributors
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1.
Graz University of Technology
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2.
Essen University Hospital
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3.
Norwegian University of Science and Technology
Description
Supplementary material
Ranftl et al.: Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate, Comput Methods Appl Mech Eng, 2022
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Supplementary material - Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder-decoder surrogate.zip
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