Investigating Solvation of Bio-Polymers in Ionic Liquids by Means of Multiscale Simulations and Computational Spectroscopy
Within this project, the microscopic solvation characteristics of cellulose in ionic liquids shall be investigated by means of multiscale molecular dynamics simulations, complemented by computational spectroscopy. The aim of the project is to gain a molecular picture of the interactions between cellulose and a series of ionic liquids and to ...
Duration: 01/2017 - 04/2023
TRR 191 - Symplectic methods of infinite dimensional systems (Subproject B06)
Symplectic methods lead to significant progress also for infinite-dimensional dynamical systems (mostly in the form of PDEs). This project considers two instances of such systems, and we intend to (i) construct new solutions of the Einstein equations using integrability methods (via symmetries of the spacetime); and (ii) significantly expand the ...
Duration: 01/2017 - 12/2020
TRR 191 - Derived categfories of singular curves (Subproject A07)
In this project, we shall apply techniques of algebraic geometry and homological algebra (derived categories, Fourier-Mukai transforms, vector bundles on possibly singular Riemann surfaces) to study problems of geometric analysis. In particular, we shall investigate Bochner Laplacians and kernel functions (Bergman and Szegö kernels) attached to ...
Duration: 01/2017 - 12/2020
TRR 191 - Symplectic structures in geometry, algebra and dynamics
Since their inception, the study of symplectic structures and the applications of symplectic techniques (as well as their odd-dimensional contact geometric counterparts) have benefited from a strong extraneous motivation. Symplectic concepts have been developed to solve problems in other fields that have resisted more traditional approaches, or ...
Duration: 01/2017 - 12/2021
Soft-Clustering - Von Heuristiken zu Approximationsalgorithmen
Unter einem Clustering versteht man die Partitionierung einer Menge von Objekten in Gruppen, welche als Cluster bezeichnet werden. Die Berechnung eines guten Clusterings ist ein typisches Problem aus dem Bereich des maschinellen Lernens und des Data-Minings, das in zahlreichen Gebieten, z.B. der Datenkompression, Bild- und Mustererkennung, und der ...
Duration: 01/2017 - 12/2021
SLIPO: Scalable Linking of Integration of Big POI Data
POIs are the content of any application, service, and product even remotely related to our physical surroundings. From navigation applications, to social networks, to tourism, and logistics, we use POIs to search, communicate, decide, and plan our actions. The Big Data assets for POIs and the evolved POI value chain introduced opportunities for ...
Duration: 01/2017 - 12/2019
Quantum Algorithms from the Interplay of Simulation, Optimization, and Machine Learning
Duration: 01/2017 - 12/2018
QIP 2018 Student and Postdoctoral Fellow Travel Funding Support
Duration: 01/2017 - 12/2018
OptiAMix: Multi-target optimized and fully automated component development for additive manufacturing processes in the product creation process
Additive manufacturing processes offer a wide range of potential in terms of lightweight construction or functional integration. However, this cannot be achieved by simply adopting conventionally developed and manufactured components. To support the development process across all phases and to exploit the potential of additive manufacturing ...
Duration: 01/2017 - 09/2020
Nichtlineares Charakterisierungssystem
Die Beantragung eines nichtlinearen Charakterisierungssystems am Lehrstuhl für Angewandte Physik / Integrierte Quantenoptik dient als Bindeglied zwischen der Probenherstellung (Technologie) und der quantenoptischen Anwendung (Optiklabor). Die Forschung setzt im Kern auf periodisch gepolte Wellenleiter in nichtlinearen Kristallen, die spezifische ...
Duration: 01/2017 - 12/2017