5 papers
Model-Guided Design of Nanoparticle Dispersity through Process-Chain Optimization
Andrea Gilch, Nabi E. Traoré, Frauke Liers +1
The design of high-quality nanoparticles requires the production of materials with narrow particle size distributions, as these strongly influence the functionalities of the final…
High-Quality Tomographic Image Reconstruction Integrating Neural Networks and Mathematical Optimization
Anuraag Mishra, Andrea Gilch, Benjamin Apeleo Zubiri +2
In this work, we develop a novel technique for reconstructing images from projection-based nano- and microtomography. Our contribution focuses on enhancing reconstruction quality,…
Quantum Subroutines in Branch-Price-and-Cut for Vehicle Routing
Friedrich Wagner, Frauke Liers
Motivated by recent progress in quantum hardware and algorithms researchers have developed quantum heuristics for optimization problems, aiming for advantages over classical method…
Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization
Sebastian Kreuz, Benjamin Apeleo Zubiri, Silvan Englisch +5
Compressed sensing is an image reconstruction technique to achieve high-quality results from limited amount of data. In order to achieve this, it utilizes prior knowledge about the…
A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions
J. Dienstbier, F. Liers, J. Rolfes
Single-level reformulations of (non-convex) distributionally robust optimization (DRO) problems are often intractable, as they contain semiinfinite dual constraints. Based on such…