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Influence of chemical components and molar ratios on strength development of one-part alkali-activated mortar: Ensemble machine learning models

Crossref DOI link: https://doi.org/10.1016/j.rineng.2026.109621

Published Print: 2026-03

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Khalil, Jawad https://orcid.org/0009-0007-6660-2572
Al-Fakih, Amin https://orcid.org/0000-0003-4096-4069
Yaseen, Zaher Mundher

Al-Osta, Mohammed A.

Hossain, Md Rakib https://orcid.org/0009-0006-2233-7781
Funding

Funding for this research was provided by:

King Fahd University of Petroleum & Minerals (INCB2519)

King Fahd University of Petroleum & Minerals (INCB2520)
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Text and Data Mining valid from 2026-03-01

Text and Data Mining valid from 2026-03-01

Version of Record valid from 2026-02-15
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This article is maintained by: Elsevier

Article Title: Influence of chemical components and molar ratios on strength development of one-part alkali-activated mortar: Ensemble machine learning models

Journal Title: Results in Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.rineng.2026.109621

Content Type: article

Copyright: © 2026 The Authors. Published by Elsevier B.V.