Markus Kästner

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:

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

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

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

Inverse design of spinodoid structures using Bayesian optimization

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

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

Reconstructing microstructures from statistical descriptors using neural cellular automata

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

Google Scholar

Markus Kästner Skills & Research Interests

Computational Mechanics

Process-Structure-Property Linkages

Multiscale Analysis

Phase-Field Modelling

Coupled Problems

Top articles of Markus Kästner

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

Archive of Applied Mechanics

2024/4/25

Markus Kästner
Markus Kästner

H-Index: 19

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

Computer Methods in Applied Mechanics and Engineering

2024/3/1

Waiching Sun
Waiching Sun

H-Index: 28

Markus Kästner
Markus Kästner

H-Index: 19

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

Engineering Fracture Mechanics

2024/2/21

Markus Kästner
Markus Kästner

H-Index: 19

Inverse design of spinodoid structures using Bayesian optimization

arXiv preprint arXiv:2402.13054

2024/2/20

Markus Kästner
Markus Kästner

H-Index: 19

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

Journal of Physics: Conference Series

2024/2/1

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

arXiv preprint arXiv:2401.14270

2024/1/25

Waiching Sun
Waiching Sun

H-Index: 28

Markus Kästner
Markus Kästner

H-Index: 19

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

Computational Materials Science

2024/1/25

Reconstructing microstructures from statistical descriptors using neural cellular automata

Integrating Materials and Manufacturing Innovation

2024/1/18

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

2024

Markus Kästner
Markus Kästner

H-Index: 19

Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors

Computer-Aided Design

2024/1/1

Markus Kästner
Markus Kästner

H-Index: 19

Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithm

2023/12/21

Markus Kästner
Markus Kästner

H-Index: 19

Economic fatigue damage monitoring for vehicle fleets using the scattering transform

PAMM

2023/12

Markus Kästner
Markus Kästner

H-Index: 19

A comparative study on different neural network architectures to model inelasticity

International Journal for Numerical Methods in Engineering

2023/11/15

Markus Kästner
Markus Kästner

H-Index: 19

On the relevance of descriptor fidelity in microstructure reconstruction

PAMM

2023/11

Scattering transform in microstructure reconstruction

PAMM

2023/11

Markus Kästner
Markus Kästner

H-Index: 19

Daniel Peterseim
Daniel Peterseim

H-Index: 20

Fatigue crack growth in anisotropic aluminium sheets—phase-field modelling and experimental validation

International Journal of Fatigue

2023/11/1

Markus Kästner
Markus Kästner

H-Index: 19

Phase-field modelling and analysis of rate-dependent fracture phenomena at finite deformation

Computational Mechanics

2023/11

Marreddy Ambati
Marreddy Ambati

H-Index: 10

Markus Kästner
Markus Kästner

H-Index: 19

A label machine for mechanical systems: Discovering operating states with unsupervised learning from load time series

PAMM

2023/10

Markus Kästner
Markus Kästner

H-Index: 19

Neural networks meet hyperelasticity: A guide to enforcing physics

Journal of the Mechanics and Physics of Solids

2023/6/26

Oliver Weeger
Oliver Weeger

H-Index: 13

Markus Kästner
Markus Kästner

H-Index: 19

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

Materials & Design

2023/9/1

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

Co-Authors

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