Crossmark

Prediction of mechanical properties and fractography examination of AZ91 magnesium composites reinforced with graphene using a random forest machine learning model: experimental validation

Crossref DOI link: https://doi.org/10.1007/s43452-025-01308-1

Published Online: 2025-08-23

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

Authors

Huang, Song-Jeng https://orcid.org/0000-0002-6582-0339
Adityawardhana, Yudhistira https://orcid.org/0000-0002-3273-5701
Funding

Funding for this research was provided by:

National Science and Technology Council (111-2221-E-011-096-MY3)

National Taiwan University of Science and Technology
License Information

Text and Data Mining valid from 2025-08-23

Version of Record valid from 2025-08-23
More Information

Article History

Received: 7 March 2025

Revised: 11 August 2025

Accepted: 12 August 2025

First Online: 23 August 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to infuence the work reported in this paper.

: This article does not contain any studies with human participants or animals performed by any of the authors.

Document is current

Any future updates will be listed below