3 citations · 4 across the 6 of their papers we have counts for
6 papers
Data-driven aerodynamic shape design with distributionally robust optimization approaches
Long Chen, Jan Rottmayer, Lisa Kusch +2
We formulate and solve data-driven aerodynamic shape design problems with distributionally robust optimization (DRO) approaches. Building on the findings of the work \cite{gotoh201…
Integrating Enzyme-generated functions into CoDiPack
M. Sagebaum, M. Aehle, N. R. Gauger
In operator overloading algorithmic differentiation, it can be beneficial to create custom derivative functions for some parts of the code base. For manual implementations of the d…
A gradient descent akin method for constrained optimization: algorithms and applications
Long Chen, Kai-Uwe Bletzinger, Nicolas R. Gauger +1
We present a first-order method for solving constrained optimization problems. The method is derived from our previous work, a modified search direction method inspired by singular…
Trailing-Edge Noise Reduction using Porous Treatment and Surrogate-based Global Optimization
Jan Rottmayer, Emre Özkaya, Sutharsan Satcunanathan +6
Broadband noise reduction is a significant problem in aerospace and industrial applications. Specifically, the noise generated from the trailing edge of an airfoil poses a challeng…
QFT-based Homogenization
Felix Givois, Matthias Kabel, Nicolas Gauger
Efficient numerical characterization is a key problem in composite material analysis. To follow accuracy improvement in image tomography, memory efficient methods of numerical char…
Physics-Informed Learning of Aerosol Microphysics
Paula Harder, Duncan Watson-Parris, Philip Stier +3
Aerosol particles play an important role in the climate system by absorbing and scattering radiation and influencing cloud properties. They are also one of the biggest sources of u…