Materials fatigue prediction using graph neural networks on microstructure representations

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Materials fatigue prediction using graph neural networks on microstructure representations ; volume:13 ; number:1 ; day:2 ; month:8 ; year:2023 ; pages:1-16 ; date:12.2023
Scientific reports ; 13, Heft 1 (2.8.2023), 1-16, 12.2023

Classification: Ingenieurwissenschaften und Maschinenbau

Creator: Thomas, Akhil
Durmaz, Ali Riza
Alam, Mehwish
Gumbsch, Peter
Sack, Harald
Eberl, Christoph

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-39400-2

URN: urn:nbn:de:101:1-2023110608011271059370

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:46 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Thomas, Akhil
Durmaz, Ali Riza
Alam, Mehwish
Gumbsch, Peter
Sack, Harald
Eberl, Christoph
SpringerLink (Online service)

Other Objects (12)

Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction : : Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations

Learning Neural Graph Representations in Non-Euclidean Geometries

Industrializable microstructure-sensitive fatigue simulation

Neural representations of cryo-EM maps and a graph-based interpretation

Microstructure design using graphs

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

A framework for microstructure-sensitive fatigue modeling

zweidimensionales bewegtes Bild

Basic Definitions and Graph Representations

Hochschulschrift

Graph polynomials and their representations

Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction : : Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations

Learning Neural Graph Representations in Non-Euclidean Geometries

Industrializable microstructure-sensitive fatigue simulation

Neural representations of cryo-EM maps and a graph-based interpretation

Microstructure design using graphs

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

A framework for microstructure-sensitive fatigue modeling

zweidimensionales bewegtes Bild

Basic Definitions and Graph Representations

Hochschulschrift

Graph polynomials and their representations

Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction : : Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations

Learning Neural Graph Representations in Non-Euclidean Geometries

Industrializable microstructure-sensitive fatigue simulation

Neural representations of cryo-EM maps and a graph-based interpretation

Microstructure design using graphs

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

A framework for microstructure-sensitive fatigue modeling

zweidimensionales bewegtes Bild

Basic Definitions and Graph Representations

Hochschulschrift

Graph polynomials and their representations

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Materials fatigue prediction using graph neural networks on microstructure representations

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction : : Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations

Learning Neural Graph Representations in Non-Euclidean Geometries

Industrializable microstructure-sensitive fatigue simulation

Neural representations of cryo-EM maps and a graph-based interpretation

Microstructure design using graphs

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

A framework for microstructure-sensitive fatigue modeling

Basic Definitions and Graph Representations

Graph polynomials and their representations

Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction : : Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations

Learning Neural Graph Representations in Non-Euclidean Geometries

Industrializable microstructure-sensitive fatigue simulation

Neural representations of cryo-EM maps and a graph-based interpretation

Microstructure design using graphs

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

A framework for microstructure-sensitive fatigue modeling

Basic Definitions and Graph Representations

Graph polynomials and their representations

Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction : : Materials fatigue prediction using graph neural networks on microstructure representations

Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations

Learning Neural Graph Representations in Non-Euclidean Geometries

Industrializable microstructure-sensitive fatigue simulation

Neural representations of cryo-EM maps and a graph-based interpretation

Microstructure design using graphs

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models

A framework for microstructure-sensitive fatigue modeling

Basic Definitions and Graph Representations

Graph polynomials and their representations

Related objects

Reset password