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Herbert De Gersem · Study
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Author
Herbert De Gersem
9 works
· latest 2024
· 2 institutions
cluster: provisional
ORCID 0000-0003-2709-2518
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Citations
162
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Most cited in this library
Uncertainty Quantification and Sensitivity Analysis in Electrical Machines With Stochastically Varying Machine Parameters
2015 · 37 citations
ASSESSING THE PERFORMANCE OF LEJA AND CLENSHAW-CURTIS COLLOCATION FOR COMPUTATIONAL ELECTROMAGNETICS WITH RANDOM INPUT DATA
2018 · 23 citations
Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
2024 · 20 citations
Quantification of Uncertainty in the Field Quality of Magnets Originating from Material Measurements
2013 · 19 citations
Robust adaptive least squares polynomial chaos expansions in high‐frequency applications
2023 · 18 citations
Works
9 shown
Multivariate sensitivity-adaptive polynomial chaos expansion for high-dimensional surrogate modeling and uncertainty quantification
Applied Mathematical Modelling
·
2024
·
2 authors
·
Open access
20
citations
An hp‐adaptive multi‐element stochastic collocation method for surrogate modeling with information re‐use
International Journal for Numerical Methods in Engineering
·
2023
·
5 authors
·
Open access
8
citations
Robust adaptive least squares polynomial chaos expansions in high‐frequency applications
Technischen Universität Darmstadt
·
2023
·
3 authors
·
Open access
18
citations
Robust adaptive least squares polynomial chaos expansions in high‐frequency applications
International Journal of Numerical Modelling Electronic Networks Devices and Fields
·
2020
·
2 authors
·
Open access
16
citations
ASSESSING THE PERFORMANCE OF LEJA AND CLENSHAW-CURTIS COLLOCATION FOR COMPUTATIONAL ELECTROMAGNETICS WITH RANDOM INPUT DATA
International Journal for Uncertainty Quantification
·
2018
·
3 authors
·
Open access
23
citations
Robust optimisation formulations for the design of an electric machine
IET Science Measurement & Technology
·
2018
·
6 authors
11
citations
High‐dimensional uncertainty quantification for an electrothermal field problem using stochastic collocation on sparse grids and tensor train decompositions
International Journal of Numerical Modelling Electronic Networks Devices and Fields
·
2017
·
5 authors
·
Open access
10
citations
Uncertainty Quantification and Sensitivity Analysis in Electrical Machines With Stochastically Varying Machine Parameters
IEEE Transactions on Magnetics
·
2015
·
5 authors
·
Open access
37
citations
Quantification of Uncertainty in the Field Quality of Magnets Originating from Material Measurements
IEEE Transactions on Magnetics
·
2013
·
6 authors
19
citations