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. 2026 Apr 8;21(4):e0346735. doi: 10.1371/journal.pone.0346735

Expression of Concern: Compressive strength prediction and low-carbon optimization of fly ash geopolymer concrete based on big data and ensemble learning

The PLOS One Editors
PMCID: PMC13061239  PMID: 41950214

After this article [1] was published, the PLOS One Editors identified concerns about the article’s peer review. We regret that the issues were not addressed prior to the article’s publication. Readers are advised to interpret the article [1] with caution.

Reference

  • 1.Jiang P, Zhao D, Jin C, Ye S, Luan C, Tufail RF. Compressive strength prediction and low-carbon optimization of fly ash geopolymer concrete based on big data and ensemble learning. PLoS One. 2024;19(9):e0310422. doi: 10.1371/journal.pone.0310422 [DOI] [PMC free article] [PubMed] [Google Scholar]

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