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07/31/2023
A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations
In recent years, there has been a growing interest in understanding comp...
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01/27/2023
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
We consider optimal sensor placement for a family of linear Bayesian inv...
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10/05/2022
A Reduced Basis Ensemble Kalman Method
In the process of reproducing the state dynamics of parameter dependent ...
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06/27/2022
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method: Extension to geometrical parameterizations
Understanding structure-property relations is essential to optimally des...
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01/25/2022
Multiscale modeling of linear elastic heterogeneous structures based on a localized model order reduction approach
In analyzing large scale structures it is necessary to take into account...
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04/09/2021
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method
In order to optimally design materials, it is crucial to understand the ...
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11/23/2020
