Markus Kästner

Markus Kästner

Technische Universität Dresden

H-index: 30

Europe-Germany

About Markus Kästner

Markus Kästner, With an exceptional h-index of 30 and a recent h-index of 25 (since 2020), a distinguished researcher at Technische Universität Dresden, specializes in the field of Computational Mechanics, Process-Structure-Property Linkages, Multiscale Analysis, Phase-Field Modelling, Coupled Problems.

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

Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors

Fatigue strength assessment of preloaded cross-toothed flange connections based on the FKM guidelines

Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables

Statistical analysis of effective crack properties by microstructure reconstruction and phase-field modeling

DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets

Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria

Reconstructing microstructures from statistical descriptors using neural cellular automata

Rate-and temperature-dependent ductile-to-brittle fracture transition: Experimental investigation and phase-field analysis for toffee

Markus Kästner Information

University

Position

Institute of Solid Mechanics

Citations(all)

2685

Citations(since 2020)

2029

Cited By

1333

hIndex(all)

30

hIndex(since 2020)

25

i10Index(all)

67

i10Index(since 2020)

57

Email

University Profile Page

Technische Universität Dresden

Google Scholar

View Google Scholar Profile

Markus Kästner Skills & Research Interests

Computational Mechanics

Process-Structure-Property Linkages

Multiscale Analysis

Phase-Field Modelling

Coupled Problems

Top articles of Markus Kästner

Title

Journal

Author(s)

Publication Date

Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors

Computer-Aided Design

Paul Seibert

Markus Husert

Maximilian P Wollner

Karl A Kalina

Markus Kästner

2024/1/1

Fatigue strength assessment of preloaded cross-toothed flange connections based on the FKM guidelines

Journal of Physics: Conference Series

H Härtel

C Ulrich

M Fiedler

M Kästner

B Schlecht

2024/2/1

Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables

arXiv preprint arXiv:2401.14270

Max Rosenkranz

Karl A Kalina

Jörg Brummund

WaiChing Sun

Markus Kästner

2024/1/25

Statistical analysis of effective crack properties by microstructure reconstruction and phase-field modeling

Archive of Applied Mechanics

Paul Seibert

Franz Hirsch

Melvin Kluge

Martha Kalina

Karl Kalina

...

2024/4/25

DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets

Computational Materials Science

Yichi Zhang

Paul Seibert

Alexandra Otto

Alexander Raßloff

Marreddy Ambati

...

2024/1/25

Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria

Computer Methods in Applied Mechanics and Engineering

Karl A Kalina

Philipp Gebhart

Jörg Brummund

Lennart Linden

WaiChing Sun

...

2024/3/1

Reconstructing microstructures from statistical descriptors using neural cellular automata

Integrating Materials and Manufacturing Innovation

Paul Seibert

Alexander Raßloff

Yichi Zhang

Karl Kalina

Paul Reck

...

2024/1/18

Rate-and temperature-dependent ductile-to-brittle fracture transition: Experimental investigation and phase-field analysis for toffee

Engineering Fracture Mechanics

Franz Dammaß

Dennis Schab

Harald Rohm

Markus Kästner

2024/2/21

Experimental analysis of residual stress evolution under cyclic mechanical loading in 42CrMo4+ QT (1.7225) including parametrization data

Tom Schneider

Jens Gibmeier

Markus Kästner

2024

Inverse design of spinodoid structures using Bayesian optimization

arXiv preprint arXiv:2402.13054

Alexander Raßloff

Paul Seibert

Karl A Kalina

Markus Kästner

2024/2/20

Conditional diffusion-based microstructure reconstruction

Materials Today Communications

Christian Düreth

Paul Seibert

Dennis Rücker

Stephanie Handford

Markus Kästner

...

2023/6/1

Neural networks meet hyperelasticity: A guide to enforcing physics

Journal of the Mechanics and Physics of Solids

Lennart Linden

Dominik K Klein

Karl A Kalina

Jörg Brummund

Oliver Weeger

...

2023/6/26

On the relevance of descriptor fidelity in microstructure reconstruction

PAMM

Paul Seibert

Alexander Raßloff

Karl Kalina

Ali Safi

Paul Reck

...

2023/11

Experimental characterization of fatigue behavior of 42CrMo4+ QT material specimens and cross-rolled components

Tom Schneider

Franz Ellmer

Christina Guilleaume

Peter Hantschke

Alexander Brosius

...

2023

Overview of phase-field models for fatigue fracture in a unified framework

Martha Kalina

Tom Schneider

Jörg Brummund

Markus Kästner

2023/5/23

Experimental and numerical characterization of imperfect additively manufactured lattices based on triply periodic minimal surfaces

Materials & Design

Fabian Günther

Stefan Pilz

Franz Hirsch

Markus Wagner

Markus Kästner

...

2023/9/1

Scattering transform in microstructure reconstruction

PAMM

Paul Reck

Paul Seibert

Alexander Raßloff

Markus Kästner

Daniel Peterseim

2023/11

" Mechanik macht Spaß": Lehrveranstaltung Technische Mechanik-Statik/Festigkeitslehre–nach 2 Jahren Corona

Lessons Learned

Michael Sähn

Ulrike Gebhardt

Markus Kästner

2023/12/30

Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach

International Journal of Fatigue

Leonhard Heindel

Peter Hantschke

Markus Kästner

2023/5/1

Calibration of phase-field brittle fatigue model by purposeful design of crack driving forces

Engineering Fracture Mechanics

K Jukić

M Ambati

T Jarak

M Kästner

Z Tonković

2023/9/1

See List of Professors in Markus Kästner University(Technische Universität Dresden)

Co-Authors

H-index: 29
Maik Gude

Maik Gude

Technische Universität Dresden

H-index: 28
Daniel Peterseim

Daniel Peterseim

Augsburg University

H-index: 19
Martina Zimmermann

Martina Zimmermann

Technische Universität Dresden

H-index: 16
Marreddy Ambati

Marreddy Ambati

Technische Universität Dresden

H-index: 12
Philipp Metsch

Philipp Metsch

Technische Universität Dresden

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