Discovering crack tip correction formulas with physical deep symbolic regression

Melching, David and Strohmann, Tobias and Paysan, Florian and Breitbarth, Eric (2024) Discovering crack tip correction formulas with physical deep symbolic regression. Crack Paths 2024, 2024-09-10 - 2024-09-12, Rimini, Italien.

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Item URL in elib:

https://elib.dlr.de/207135/

Document Type:

Conference or Workshop Item (Speech)

Title:

Discovering crack tip correction formulas with physical deep symbolic regression

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Melching, David	David.Melching (at) dlr.de	https://orcid.org/0000-0001-5111-6511	UNSPECIFIED
Strohmann, Tobias	Tobias.Strohmann (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Paysan, Florian	Florian.Paysan (at) dlr.de	https://orcid.org/0000-0001-5575-1002	UNSPECIFIED
Breitbarth, Eric	Eric.Breitbarth (at) dlr.de	https://orcid.org/0000-0002-3479-9143	169192384

Date:

10 September 2024

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Risserkennung, Symbolische Regression, Maschinelles Lernen, KI

Event Title:

Crack Paths 2024

Event Location:

Rimini, Italien

Event Type:

international Conference

Event Start Date:

10 September 2024

Event End Date:

12 September 2024

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

Components and Systems

DLR - Research area:

Aeronautics

DLR - Program:

L CS - Components and Systems

DLR - Research theme (Project):

L - Structural Materials and Design, L - Digital Technologies

Location:

Köln-Porz

Institutes and Institutions:

Institute of Materials Research > Metallic and Hybrid Materials

Deposited By:

Melching, David

Deposited On:

09 Oct 2024 09:34

Last Modified:

09 Oct 2024 09:34

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