Comprehensive assessment of non-destructive techniques for sequester-based carbon mortar under acidic exposure conditions and predicted using an artificial neural network
Crossref DOI link: https://doi.org/10.1007/s42107-025-01591-6
Published Online: 2025-12-12
Published Print: 2026-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Joshi, Bhavesh
Sharma, Pankaj
Varma, Manish
Text and Data Mining valid from 2025-12-12
Version of Record valid from 2025-12-12
Article History
Received: 7 October 2025
Accepted: 3 November 2025
First Online: 12 December 2025
Declarations
:
: The authors declare no competing interests.