activity
20172025
most citedVariance-based Robust Optimization of a Permanent Magnet Synchronous Machine

16 citations · 19 across the 6 of their papers we have counts for

collaborators

8 papers

math.AP2025

Modeling of radiating curved cables via coupled telegrapher's and Maxwell's equations

Markus Clemens, Michael Günther, Timo Reis +1

We investigate the electromagnetic interactions of cable harnesses in the time domain. We present a novel model that allows for curved cables, extending the standard assumptions ty…

hep-lat2025★ 1 cited

Hessian-free force-gradient integrators and their application to lattice QCD simulations

Kevin Schäfers, Jacob Finkenrath, Michael Günther +1

We present initial results on Hessian-free force-gradient integrators for lattice field theories. Integrators of this framework promise to provide substantial performance enhanceme…

math.DS2023

Operator splitting for semi-explicit differential-algebraic equations and port-Hamiltonian DAEs

Andreas Bartel, Malak Diab, Andreas Frommer +1

Operator splitting methods allow to split the operator describing a complex dynamical system into a sequence of simpler subsystems and treat each part independently. In the modelin…

math.NA2023★ 2 cited

Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems

Kevin Schäfers, Michael Günther, Adrian Sandu

The generalized additive Runge-Kutta (GARK) framework provides a powerful approach for solving additively partitioned ordinary differential equations. This work combines the ideas…

math.NA2021

Enhanced fifth order WENO Shock-Capturing Schemes with Deep Learning

Tatiana Kossaczká, Matthias Ehrhardt, Michael Günther

In this paper we enhance the well-known fifth order WENO shock-capturing scheme by using deep learning techniques. This fine-tuning of an existing algorithm is implemented by train…

math.NA2021

Higher Strong Order Methods for Itô SDEs on Matrix Lie Groups

Michelle Muniz, Matthias Ehrhardt, Michael Günther +1

In this paper we present a general procedure for designing higher strong order methods for Itô stochastic differential equations on matrix Lie groups and illustrate this strategy w…

math.OC2020

GivEn -- Shape Optimization for Gas Turbines in Volatile Energy Networks

Jan Backhaus, Matthias Bolten, Onur Tanil Doganay +19

This paper describes the project GivEn that develops a novel multicriteria optimization process for gas turbine blades and vanes using modern "adjoint" shape optimization algorithm…

physics.app-ph2017★ 16 cited

Variance-based Robust Optimization of a Permanent Magnet Synchronous Machine

Piotr A. Putek, E. Jan. W. ter Maten, Michael Günther +1

This paper focuses on the application of the variance-based global sensitivity analysis for a topology derivative method in order to solve a stochastic nonlinear time-dependent mag…