Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods.
- DOI
- 10.3390/ma19112235
- Published
- 2026 May 25
- Container
- Materials (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ma19112235,
title = {Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods.},
author = {Biswas R and Kazemi F and Sharma A and Jankowski R and Asteris PG},
year = {2026},
journal = {Materials (Basel, Switzerland)},
doi = {10.3390/ma19112235},
url = {https://doi.org/10.3390/ma19112235}
}RIS
TY - JOUR TI - Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods. AU - Biswas R AU - Kazemi F AU - Sharma A AU - Jankowski R AU - Asteris PG PY - 2026 JO - Materials (Basel, Switzerland) DO - 10.3390/ma19112235 UR - https://doi.org/10.3390/ma19112235 ER -
APA
R, B., F, K., A, S., R, J., & PG, A. (2026). Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma19112235
Source records
- pubmed · retrieved 2026-09-25T06:15:36.444Z