From Predictive Modeling to Mechanistic Insight: Data-Driven Design of Low-Carbon Sulfoaluminate Cement Blends

Mendeley Data 2026 Dataset Open access

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Authors: zhan jiang, Canguang Chen, Yuan Feng, Zhongyu Lu, Jian Yang, Jianhe Xie
DOI: 10.17632/xzstw32w88
Cited by: 0

Abstract

This dataset was manually compiled and curated by the authors from 24 peer-reviewed publications (cited within the manuscript). It includes original experimental data on mixture design and compressive strength.

Fields of Study & Subjects

Concrete and Cement Materials Research Machine Learning in Materials Science Innovative concrete reinforcement materials

Publication details

Journal / source
Mendeley Data
Publication date
10 February 2026
Language
EN
Document type
Dataset