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Physics-informed machine learning: technological trends in turbulence flow, topology optimization, and convergence enhancement with temporal causality consideration

Crossref DOI link: https://doi.org/10.1007/s42791-025-00101-8

Published Online: 2025-05-15

Published Print: 2025-06

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

Authors

Noh, Hong-Kyun

Won, Chaeyun

Lee, Jongmok

Choi, Sanghun

Lee, Seungchul

Lim, Jae Hyuk https://orcid.org/0000-0001-7268-1691
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Text and Data Mining valid from 2025-05-15

Version of Record valid from 2025-05-15
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Article History

Received: 10 March 2025

Revised: 24 April 2025

Accepted: 2 May 2025

First Online: 15 May 2025

Change Date: 31 May 2025

Change Type: Update

Change Details: "The original online version of this article was revised:" In this article Sanghun Choi and Seungchul Lee should also have been denoted as a corresponding author.

Change Date: 2 June 2025

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s42791-025-00109-0

Updates are available Correction dated 2025-06-02

Click to view Correction: https://doi.org/10.1007/s42791-025-00109-0