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Article
Peer-Review Record

Prediction of Chloride Diffusion Coefficient in Concrete Modified with Supplementary Cementitious Materials Using Machine Learning Algorithms

Materials 2023, 16(3), 1277; https://doi.org/10.3390/ma16031277
by Abdulrahman Fahad Al Fuhaid 1,* and Hani Alanazi 2
Reviewer 2: Anonymous
Materials 2023, 16(3), 1277; https://doi.org/10.3390/ma16031277
Submission received: 28 December 2022 / Revised: 24 January 2023 / Accepted: 31 January 2023 / Published: 2 February 2023
(This article belongs to the Special Issue Construction Materials and Artificial Intelligence)

Round 1

Reviewer 1 Report


Comments for author File: Comments.pdf

Author Response

Dear Sir/Madam,

We have provided a point by point response.

Regards,

Author Response File: Author Response.pdf

Reviewer 2 Report

Please find the attachment. 

Comments for author File: Comments.pdf

Author Response

Dear Sir/Madam,

We have provided a point by point response.

Regards,

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The document submitted by the authors as a response to my comments does not appear to be relevant. It is possible that it was uploaded in error.

Author Response

Yes, you are right. The uploaded file is the wrong one.

 

Sorry for the mistake, please find the right file in the attachment 

Author Response File: Author Response.pdf

Reviewer 2 Report

Thanks the authors for valuable efforts. As all the comments were addressed, I would suggest the journal accept this article for its publication.

Author Response

Thanks for your efforts

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