Martin Stoll

Prof. of Scientific Computing

Chemnitz University of Technology

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Fluid Mechanics Fluid Mechanics professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Martin Stoll is a faculty member in the Department of Scientific Computing at Technische Universität Chemnitz, Germany. His research interests include preconditioning methods for complex models, machine learning applications in simulations, and optimization of partial differential equations. Recent publications explore topics such as morphology formation in organic solar cells and modularity maximization in multiplex networks.

Articles (18)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (6)

Jörg Schuster

Fraunhofer Institute for Integrated Systems and Device Technology

GERMANY

View details

Roland Herzog

Heidelberg University

GERMANY

View details

Christoph Plate

Otto-von-Guericke Universität Magdeburg

GERMANY

View details

Sebastian Sager

Professor

Otto-von-Guericke Universität Magdeburg

GERMANY

View details

Kai Bergermann

Chemnitz University of Technology

GERMANY

View details

Margherita Porcelli

Senior Assistant Professor

University of Bologna

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Martin Stoll

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Real-Time Interfacial Pressure Prediction in CMP Using Machine Learning Surrogates of Finite Element Simulations

Preconditioning for a Cahn–Hilliard–Navier–Stokes model for morphology formation in organic solar cells

Efficient training of Gaussian processes with tensor product structure

A splitting-based KPIK method for eddy current optimal control problems in an all-at-once approach

IETI-Based Low-Rank Method for PDE-Constrained Optimization

Gradient flow-based modularity maximization for community detection in multiplex networks

Second-Order Partial Outer Convexification for Switched Dynamical Systems

Adaptive Rational Krylov Methods for Exponential Runge–Kutta Integrators

Uncertainty propagation of initial conditions in thermal models

A nonlinear spectral core–periphery detection method for multiplex networks

An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations

Fast computation of matrix function-based centrality measures for layer-coupled multiplex networks

A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems

Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix-Vector Products

Interior‐point methods and preconditioning for PDE‐constrained optimization problems involving sparsity terms

A low-rank tensor method for PDE-constrained optimization with isogeometric analysis

Efficient numerical methods for gas network modeling and simulation

Low-rank solution of an optimal control problem constrained by random Navier-Stokes equations

Collaborators (6)

Jörg Schuster

Roland Herzog

Christoph Plate

Sebastian Sager

Kai Bergermann

Margherita Porcelli

Make your next move.