A curved-element unstructured discontinuous Galerkin method on GPUs for the Euler equations. - Martin Siebenborn; Volker Schulz 001; Stephan Schmidt 003 (Comput. Vis. Sci., 2012)

GPU accelerated discontinuous Galerkin methods for Euler equations and its adjoint. - Martin Siebenborn; Volker Schulz 001 (SpringSim (HPC), 2013)

PDE Constrained Shape Optimization as Optimization on Shape Manifolds. - Volker H. Schulz; Martin Siebenborn; Kathrin Welker (GSI, 2015)

Scalable shape optimization methods for structured inverse modeling in 3D diffusive processes. - Arne Nägel; Volker Schulz 001; Martin Siebenborn; Gabriel Wittum (Comput. Vis. Sci., 2015)

Structured Inverse Modeling in Parabolic Diffusion Problems. - Volker H. Schulz; Martin Siebenborn; Kathrin Welker (SIAM J. Control. Optim., 2015)

Computational Comparison of Surface Metrics for PDE Constrained Shape Optimization. - Volker Schulz 001; Martin Siebenborn (Comput. Methods Appl. Math., 2016)

Efficient PDE Constrained Shape Optimization Based on Steklov-Poincaré-Type Metrics. - Volker H. Schulz; Martin Siebenborn; Kathrin Welker (SIAM J. Optim., 2016)

Space and Time Parallel Multigrid for Optimization and Uncertainty Quantification in PDE Simulations. - Lars Grasedyck; Christian Löbbert; Gabriel Wittum; Arne Nägel; Volker Schulz 001; Martin Siebenborn; Rolf Krause; Pietro Benedusi; Uwe Küster; Björn Dick (Software for Exascale Computing, 2016)

Algorithmic Aspects of Multigrid Methods for Optimization in Shape Spaces. - Martin Siebenborn; Kathrin Welker (SIAM J. Sci. Comput., 2017)

A Shape Optimization Algorithm for Interface Identification Allowing Topological Changes. - Martin Siebenborn (J. Optim. Theory Appl., 2018)

Optimum Experimental Design for Interface Identification Problems. - Tommy Etling; Roland Herzog; Martin Siebenborn (SIAM J. Sci. Comput., 2019)

A Novel $p$-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization. - Peter Marvin Müller; Niklas Kühl 002; Martin Siebenborn; Klaus Deckelnick; Michael Hinze; Thomas Rung (CoRR, 2021)

A multigrid preconditioner for tensor product spline smoothing. - Martin Siebenborn; Julian Wagner (Comput. Stat., 2021)

Adjoint complement to the volume-of-fluid method for immiscible flows. - Niklas Kühl 002; Jörn Kröger; Martin Siebenborn; Michael Hinze; Thomas Rung (J. Comput. Phys., 2021)

Mesh Quality Preserving Shape Optimization Using Nonlinear Extension Operators. - Sofiya Onyshkevych; Martin Siebenborn (J. Optim. Theory Appl., 2021)

A Continuous Perspective on Shape Optimization via Domain Transformations. - Johannes Haubner; Martin Siebenborn; Michael Ulbrich (SIAM J. Sci. Comput., 2021)

A Scalable Algorithm for Shape Optimization with Geometric Constraints in Banach Spaces. - Peter Marvin Müller; José Pinzón; Thomas Rung; Martin Siebenborn (SIAM J. Sci. Comput., 2023)