Mechanical and durability performance prediction of geopolymer incorporating ferrosilicon slag and aluminum powder using machine learning techniques
Crossref DOI link: https://doi.org/10.1038/s41598-025-32654-y
Published Online: 2026-01-30
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Raju, K. Narshimha
Arunvivek, G. K.
Text and Data Mining valid from 2026-01-30
Accepted Manuscript valid from 2026-01-30
Article History
Received: 15 August 2025
Accepted: 11 December 2025
First Online: 30 January 2026
Declarations
:
: The authors declare no competing interests.