Michael Zaiser

About Michael Zaiser

Michael Zaiser, With an exceptional h-index of 46 and a recent h-index of 30 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Plasticity, Fracture.

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

Mechanical Properties of Interfaces between Mg and SiC: An Ab Initio Study

Creep failure of hierarchical materials

Multiscale modeling of dislocations: combining peridynamics with gradient elasticity

Failure precursors and failure mechanisms in hierarchically patterned paper sheets in tensile and creep loading

Enhanced fault tolerance in biomimetic hierarchical materials: A simulation study

Enhancing dehydrogenation performance of MgH2/graphene heterojunctions via noble metal intercalation

Effects of disorder on deformation and failure of brittle porous materials

Geometrically necessary dislocations and related kinematic hardening in gradient grained materials: A nonlocal crystal plasticity study

Michael Zaiser Information

University

Position

Professor of Materials Simulation, FAU Erlangen-Nürnberg

Citations(all)

7987

Citations(since 2020)

2990

Cited By

6265

hIndex(all)

46

hIndex(since 2020)

30

i10Index(all)

124

i10Index(since 2020)

77

Email

University Profile Page

Google Scholar

Michael Zaiser Skills & Research Interests

Plasticity

Fracture

Top articles of Michael Zaiser

Mechanical Properties of Interfaces between Mg and SiC: An Ab Initio Study

Metals

2024/4/16

Creep failure of hierarchical materials

Scientific Reports

2024/2/20

Multiscale modeling of dislocations: combining peridynamics with gradient elasticity

Materials Theory

2024/2/5

Michael Zaiser
Michael Zaiser

H-Index: 26

Failure precursors and failure mechanisms in hierarchically patterned paper sheets in tensile and creep loading

Physical Review Applied

2023/8/3

Enhanced fault tolerance in biomimetic hierarchical materials: A simulation study

Physical Review Materials

2023/5/26

Enhancing dehydrogenation performance of MgH2/graphene heterojunctions via noble metal intercalation

International Journal of Hydrogen Energy

2023/5/22

Effects of disorder on deformation and failure of brittle porous materials

Journal of Statistical Mechanics: Theory and Experiment

2023/5/4

Michael Zaiser
Michael Zaiser

H-Index: 26

Geometrically necessary dislocations and related kinematic hardening in gradient grained materials: A nonlocal crystal plasticity study

International Journal of Plasticity

2023/4/1

A computationally efficient implementation of continuum dislocation dynamics: Formulation and application to ultrafine-grained Mg polycrystals

Journal of the Mechanics and Physics of Solids

2023/3/1

Xi Luo
Xi Luo

H-Index: 8

Michael Zaiser
Michael Zaiser

H-Index: 26

Relating plasticity to dislocation properties by data analysis: scaling vs. machine learning approaches

Materials Theory

2023/1/3

Haidong Fan
Haidong Fan

H-Index: 15

Michael Zaiser
Michael Zaiser

H-Index: 26

Disordered mechanical metamaterials

2023/11

Michael Zaiser
Michael Zaiser

H-Index: 26

Stefano Zapperi
Stefano Zapperi

H-Index: 33

Atomistic Simulations of Dislocation-Void Interactions in Concentrated Solid Solution Alloys

Metals

2023/9/27

Fracture Properties of Bio-inspired Fibrous Materials with Hierarchical Structure

2022/12/15

Seyyed Ahmad Hosseini
Seyyed Ahmad Hosseini

H-Index: 7

Michael Zaiser
Michael Zaiser

H-Index: 26

An energetically consistent surface correction method for bond-based peridynamics

Forces in Mechanics

2022/12/1

Paul Steinmann
Paul Steinmann

H-Index: 40

Michael Zaiser
Michael Zaiser

H-Index: 26

Predicting creep failure by machine learning-which features matter?

Forces in Mechanics

2022/12/1

Hierarchical slice patterns inhibit crack propagation in brittle sheets

Physical Review Applied

2022/10/14

Pinning of extended dislocations in atomically disordered crystals

Acta Materialia

2022/9/1

Edge betweenness centrality as a failure predictor in network models of structurally disordered materials

Scientific Reports

2022/7/12

Michael Zaiser
Michael Zaiser

H-Index: 26

Paolo Moretti
Paolo Moretti

H-Index: 11

Predicting the failure of two-dimensional silica glasses

Nature communications

2022/5/20

High Strain Rate Compressive Failure of Porous Brittle Snow Microstructures Simulated by Peridynamics

EGU General Assembly Conference Abstracts

2022/5

Michael Zaiser
Michael Zaiser

H-Index: 26

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

Co-Authors

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