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Data-driven kernel selection in Smoothed Particle Hydrodynamics using machine learning: automated hyperparameter optimization for heat conduction problems

Crossref DOI link: https://doi.org/10.1007/s00366-026-02354-w

Published Online: 2026-06-02

Published Print: 2026-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

de Carvalho Augusto, Lilian Dobrowolski

Bacalhau, Eduardo Tadeu

Souto, Helio Pedro Amaral
Funding

Funding for this research was provided by:

Universidade Federal Do Paraná
License Information

Text and Data Mining valid from 2026-06-02

Version of Record valid from 2026-06-02
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Article History

Received: 14 April 2026

Accepted: 13 May 2026

First Online: 2 June 2026

Declarations

:

: The authors declare no conflict of interest.

: Not applicable. This study does not involve human participants, animals, or sensitive personal data.

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