Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Machine learning-based prediction of 90-day tensile strength in geopolymer concrete under varying input-variable scenarios
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BibTeX
@article{mehravar2026machine,
title = {{Machine learning-based prediction of 90-day tensile strength in geopolymer concrete under varying input-variable scenarios}},
author = {Parnian Mehravar and Hossein Bahrami and Hamidreza Ghazvinian},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-76055-1},
url = {https://www.nature.com/articles/s41598-026-76055-1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Machine learning-based prediction of 90-day tensile strength in geopolymer concrete under varying input-variable scenarios
AU - Parnian Mehravar
AU - Hossein Bahrami
AU - Hamidreza Ghazvinian
PY - 2026
DA - 2026/10/15
JO - Scientific Reports
DO - 10.1038/s41598-026-76055-1
UR - https://www.nature.com/articles/s41598-026-76055-1
SN - 2045-2322
ER -