Peter Gangl

According to our database, Peter Gangl authored at least 12 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Space-time shape optimization of rotating electric machines.

Alessio Cesarano, Charles Dapogny, Peter Gangl

CoRR, 2024

2023

A space-time finite element method for the eddy current approximation of rotating electric machines.

Peter Gangl, Mario Gobrial, Olaf Steinbach

CoRR, 2023

Regularization and finite element error estimates for elliptic distributed optimal control problems with energy regularization and state or control constraints.

Peter Gangl, Richard Löscher, Olaf Steinbach

CoRR, 2023

Efficient and accurate separable models for discrete material optimization: A continuous perspective.

Peter Gangl, Nico Nees, Michael Stingl

CoRR, 2023

2022

Topological Derivative for PDEs on Surfaces.

Peter Gangl, Kevin Sturm

SIAM J. Control. Optim., 2022

On the computation of analytic sensitivities of eigenpairs in isogeometric analysis.

Anna Ziegler, Melina Merkel, Peter Gangl, Sebastian Schöps

CoRR, 2022

2021

Complete topological asymptotic expansion for L₂ and H¹ tracking-type cost functionals in dimension two and three.

Phillip Baumann, Peter Gangl, Kevin Sturm

CoRR, 2021

Multi-Material Topology Optimization with Continuous Magnetization Direction for Permanent Magnet Synchronous Reluctance Motors.

Thomas Gauthey, Peter Gangl, Maya Hage Hassan

CoRR, 2021

2020

Multi-objective free-form shape optimization of a synchronous reluctance machine.

Peter Gangl, Stefan Köthe, Christiane Mellak, Alessio Cesarano, Annette Mütze

CoRR, 2020

2019

Shape Optimization of Rotating Electric Machines using Isogeometric Analysis and Harmonic Stator-Rotor Coupling.

Melina Merkel, Peter Gangl, Sebastian Schöps

CoRR, 2019

2015

Shape Optimization of an Electric Motor Subject to Nonlinear Magnetostatics.

Peter Gangl, Ulrich Langer, Antoine Laurain, Houcine Meftahi, Kevin Sturm

SIAM J. Sci. Comput., 2015

2012

Topology optimization of electric machines based on topological sensitivity analysis.

Peter Gangl, Ulrich Langer

Comput. Vis. Sci., 2012