Michael Stingl

About Michael Stingl

Michael Stingl, With an exceptional h-index of 29 and a recent h-index of 20 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Semidefinite Programmierung, Materialoptimierung, Strukturoptimierung, Optimierungsalgorithmen.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient and Accurate Separable Models for Discretized Material Optimization: A Continuous Perspective Based on Topological Derivatives

The continuous stochastic gradient method: part I–convergence theory

The continuous stochastic gradient method: part II–application and numerics

A nonlocal approach to graded surface modeling in topology optimization

Optimizing Color Saturation in Colloidal Photonic Crystals by Control of Absorber Amount and Distribution

Quality control in particle precipitation via robust optimization

Buckling optimization of additively manufactured cellular structures using numerical homogenization based on beam models

Using OpenBIS as Virtual Research Environment: An ELN-LIMS Open-Source Database Tool as a Framework within the CRC 1411 Design of Particulate Products

Michael Stingl Information

University

Position

Department Mathematik, Exzellenzcluster Engineering of Advanced Materials, FAU Erlangen-Nürnberg

Citations(all)

2949

Citations(since 2020)

1230

Cited By

2275

hIndex(all)

29

hIndex(since 2020)

20

i10Index(all)

55

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Michael Stingl Skills & Research Interests

Semidefinite Programmierung

Materialoptimierung

Strukturoptimierung

Optimierungsalgorithmen

Top articles of Michael Stingl

Efficient and Accurate Separable Models for Discretized Material Optimization: A Continuous Perspective Based on Topological Derivatives

arXiv preprint arXiv:2302.05144

2023/2/10

Peter Gangl
Peter Gangl

H-Index: 6

Michael Stingl
Michael Stingl

H-Index: 18

The continuous stochastic gradient method: part I–convergence theory

Computational Optimization and Applications

2024/4

Lukas Pflug
Lukas Pflug

H-Index: 9

Michael Stingl
Michael Stingl

H-Index: 18

The continuous stochastic gradient method: part II–application and numerics

Computational Optimization and Applications

2024/4

Lukas Pflug
Lukas Pflug

H-Index: 9

Michael Stingl
Michael Stingl

H-Index: 18

A nonlocal approach to graded surface modeling in topology optimization

arXiv preprint arXiv:2403.16587

2024/3/25

Optimizing Color Saturation in Colloidal Photonic Crystals by Control of Absorber Amount and Distribution

Advanced Materials Interfaces

2024/2/7

Quality control in particle precipitation via robust optimization

arXiv preprint arXiv:2306.15432

2023/6/27

Buckling optimization of additively manufactured cellular structures using numerical homogenization based on beam models

Archive of Applied Mechanics

2023/12

Using OpenBIS as Virtual Research Environment: An ELN-LIMS Open-Source Database Tool as a Framework within the CRC 1411 Design of Particulate Products

2023/11/22

Loraine–an interior-point solver for low-rank semidefinite programming

Optimization Methods and Software

2023/10/13

Michael Stingl
Michael Stingl

H-Index: 18

A sequential global programming approach for two-scale optimization of homogenized multiphysics problems with application to Biot porous media

Structural and Multidisciplinary Optimization

2023/9

Michael Stingl
Michael Stingl

H-Index: 18

On optimization of heterogeneous materials for enhanced resistance to bulk fracture

Forces in Mechanics

2023/8/1

Two-scale optimization of graded lattice structures respecting buckling on micro-and macroscale

Structural and Multidisciplinary Optimization

2023/7

Fabian Wein
Fabian Wein

H-Index: 8

Michael Stingl
Michael Stingl

H-Index: 18

Additive manufacturing of cellular structures: Multiscale simulation and optimization

Journal of Manufacturing Processes

2023/6/9

Efficient spline design via feature-mapping for continuous fiber-reinforced structures

Structural and Multidisciplinary Optimization

2023/5

Michael Stingl
Michael Stingl

H-Index: 18

Fabian Wein
Fabian Wein

H-Index: 8

Solving Lasserre relaxations of unconstrained binary quadratic optimization problems by an interior-point method

2023/4/20

Michael Stingl
Michael Stingl

H-Index: 18

Robust design optimization for enhancing delamination resistance of composites

International Journal for Numerical Methods in Engineering

2023/3/30

Optimizing color of particulate products

PAMM

2023/3

Lukas Pflug
Lukas Pflug

H-Index: 9

Michael Stingl
Michael Stingl

H-Index: 18

Loraine. m

2023

Michal Kocvara
Michal Kocvara

H-Index: 19

Michael Stingl
Michael Stingl

H-Index: 18

Multi-material design optimization of optical properties of particulate products by discrete dipole approximation and sequential global programming

Structural and Multidisciplinary Optimization

2023/1

Lukas Pflug
Lukas Pflug

H-Index: 9

Michael Stingl
Michael Stingl

H-Index: 18

Outer approximation for mixed-integer nonlinear robust optimization

Journal of Optimization Theory and Applications

2022/12

Frauke Liers
Frauke Liers

H-Index: 13

Michael Stingl
Michael Stingl

H-Index: 18

See List of Professors in Michael Stingl University(Friedrich-Alexander-Universität Erlangen-Nürnberg)