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A Machine Learning Boosted Data Reduction Methodology for Translaminar Fracture of Structural Composites

Published Online: 2024-07-01

Published Print: 2024-12

Authors

Mocerino, Davide

Zarzoso, Moisés

Sket, Federico

Molina, Jon

González, Carlos
Funding

Funding for this research was provided by:

Horizon 2020 (DYNACOMP Marie Sklodowska-Curie grant agreement No 722096, DYNACOMP Marie Sklodowska-Curie grant agreement No 722096, DYNACOMP Marie Sklodowska-Curie grant agreement No 722096, DYNACOMP Marie Sklodowska-Curie grant agreement No 722096, DYNACOMP Marie Sklodowska-Curie grant agreement No 722096)

Ministerio de Ciencia, Innovación y Universidades (PID2019-106759GB-I00)

Universidad Politécnica de Madrid
License Information

Text and Data Mining valid from 2024-07-01

Version of Record valid from 2024-07-01
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Article History

Received: 28 February 2024

Accepted: 29 April 2024

First Online: 1 July 2024

Declarations

:

: The authors declare no competing interests.

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