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Discovering physical formulas with deep symbolic regression - a universal crack tip correction algorithm

Schultheis, Erik and Melching, David and Breitbarth, Eric and Strohmann, Tobias and Paysan, Florian (2024) Discovering physical formulas with deep symbolic regression - a universal crack tip correction algorithm. Advances in Artificial Intelligence for Aerospace Engineering (AI4Aerospace), 2024-06-10 - 2024-06-11, Braunschweig, Deutschland.

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Item URL in elib:https://elib.dlr.de/204965/
Document Type:Conference or Workshop Item (Speech)
Title:Discovering physical formulas with deep symbolic regression - a universal crack tip correction algorithm
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schultheis, ErikErik.Schultheis (at) dlr.dehttps://orcid.org/0009-0007-4728-7124162672443
Melching, DavidDavid.Melching (at) dlr.dehttps://orcid.org/0000-0001-5111-6511UNSPECIFIED
Breitbarth, EricEric.Breitbarth (at) dlr.dehttps://orcid.org/0000-0002-3479-9143162672444
Strohmann, TobiasTobias.Strohmann (at) dlr.deUNSPECIFIEDUNSPECIFIED
Paysan, FlorianFlorian.Paysan (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:10 June 2024
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:AI, Machine Learning, Crack Tip Detection, Fatigue, Crack, Symbolic regression,
Event Title:Advances in Artificial Intelligence for Aerospace Engineering (AI4Aerospace)
Event Location:Braunschweig, Deutschland
Event Type:Workshop
Event Start Date:10 June 2024
Event End Date:11 June 2024
Organizer:ONERA und DLR
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Digitalisation
DLR - Program:D KIZ - Artificial Intelligence
DLR - Research theme (Project):D - ReBAR
Location: Köln-Porz
Institutes and Institutions:Institute of Materials Research > Metallic and Hybrid Materials
Deposited By: Schultheis, Erik
Deposited On:01 Jul 2024 08:27
Last Modified:14 Mar 2025 08:26

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