31 citations · 31 across the 1 of their papers we have counts for
6 papers
A spectral surrogate model for stochastic simulators computed from trajectory samples
Nora Lüthen, Stefano Marelli, Bruno Sudret
Stochastic simulators are non-deterministic computer models which provide a different response each time they are run, even when the input parameters are held at fixed values. They…
Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions
Nora Lüthen, Olivier Roustant, Fabrice Gamboa +3
Variance-based global sensitivity analysis, in particular Sobol' analysis, is widely used for determining the importance of input variables to a computational model. Sobol' indices…
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Lüthen, Stefano Marelli, Bruno Sudret
Sparse polynomial chaos expansions (PCE) are a popular surrogate modelling method that takes advantage of the properties of PCE, the sparsity-of-effects principle, and powerful spa…
Geometry of martensite needles in shape memory alloys
Sergio Conti, Martin Lenz, Nora Lüthen +2
We study the geometry of needle-shaped domains in shape-memory alloys. Needle-shaped domains are ubiquitously found in martensites around macroscopic interfaces between regions whi…
Optimal sensor placement for artificial swimmers
Siddhartha Verma, Costas Papadimitriou, Nora Luethen +2
Natural swimmers rely for their survival on sensors that gather information from the environment and guide their actions. The spatial organization of these sensors, such as the vis…
Branching Structures in Elastic Shape Optimization
Nora Lüthen, Martin Rumpf, Sascha Tölkes +1
Fine scale elastic structures are widespread in nature, for instances in plants or bones, whenever stiffness and low weight are required. These patterns frequently refine towards a…