Correction: Prediction of compressive strength of high-performance concrete based on multiple machine learning models

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Publication Details

Journal
Frontiers in Materials
Published
2025-10-20
DOI
https://doi.org/10.3389/fmats.2025.1721158
Primary Topic
Innovative concrete reinforcement materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Correction: Prediction of compressive strength of high-performance concrete based on multiple machine learning models

Kai Xiao, Chaozhi Zhu, Jingtong He, Shuai Zhu et al.
Frontiers in Materials
Innovative concrete reinforcement materials
article

Correction: Prediction of compressive strength of high-performance concrete based on multiple machine learning models

Kai Xiao, Chaozhi Zhu, Jingtong He, Shuai Zhu, Hongjian Zhang, Xiaohan Yang, Sijia Wei
article en

Abstract

A correction refers to a change to their article that the author wishes to publish after publication. The publication of this article is subject to Frontiers' editorial approval.• Please read through all the templates before choosing • Pick the most relevant text template(s) from the following page and delete all others.• Edit the text as necessary, ensuring that the original incorrect text is included for the record, please see the below. • Please do not use any extra formatting when editing the templates, and only modify the red text unless absolutely necessary • Submit to Frontiers following the instructions on this page.When the original text contained incorrect information, to preserve the scientific record, please include that text when editing the below templates. For example:There was a mistake in the Funding statement, an incorrect number was used.The correct number is "2015C03Bd051.". The publisher apologizes for this mistake.The original version of this article has been updated.

Frontiers in MaterialsVol. 12
Jinling Institute of Technology (CN), Xinjiang University (CN)
Openalex Percentile: Top 69%
Innovative concrete reinforcement materials
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