Simulation based Optimization and Optimal Design of Experiments for Wetting Phenomena


The optimization algorithms to be developed are adjoint-based and build the foundation for numerous optimization problems within the proposed SFB. Example optimization parameters could be the geometry of surfaces, the contact line velocity, or material properties of fluids or surfaces. Thereby, among others, experimentally immeasurable parameters can be estimated with minimal variance using the simulation model. The results of this project should be particularly valuable for the future selection of generic experimental parameters and will make available quantities which are difficult to measure experimentally.


  Name Contact
Prof. Dr. Stefan Ulbrich
+49 6151 16-23430
S4|10 123
Elisabeth Diehl
Elisabeth Diehl, M.Sc.
+49 6151 16-23456
S4|10 120


Jump to: 2018 | 2017
Number of items at this level: 3.


Ulbrich, Stefan (2018):
Optimal boundary control of nonlinear hyperbolic conservation laws with state constraints.
In: "Challenges in Optimal Control of Nonlinear PDE-Systems" Oberwolfach Meeting, Oberwolfach, April 8-14, 2018, [Conference or Workshop Item]


Ulbrich, Stefan and Ziems, Jan Carsten (2017):
Adaptive multilevel trust-region methods for time-dependent PDE-constrained optimization.
In: Portugaliae Mathematica, European Mathematical Society, pp. 37-67, 74, (1), ISSN 0032-5155,
DOI: 10.4171/PM/1992,
[Online-Edition: https://www.ems-ph.org/journals/show_abstract.php?issn=0032-...],

Fischer, Michael and Lindemann, Florian and Ulbrich, Michael and Ulbrich, Stefan (2017):
Fréchet Differentiability of Unsteady Incompressible Navier--Stokes Flow with Respect to Domain Variations of Low Regularity by Using a General Analytical Framework.
In: SIAM Journal on Control and Optimization, pp. 3226-3257, 55, (5), ISSN 0363-0129,
DOI: 10.1137/16m1089563,
[Online-Edition: https://doi.org/10.1137/16M1089563],

This list was generated on Mon Oct 14 01:40:14 2019 CEST.