Work

Predicting the compressive strength of supplementary cementitious materials with nano seeds using machine learning

Year: 2026

Type: article

Source: Composites Communications

DOI: 10.1016/j.coco.2026.102932

Authors: Yanxi Li, Xiao Liu, Yanzhen Xiao, Yizhou Zhu, Minghui Jiang, Lei Lu, Xinxin Li, Jianan Guan, Jing Wang, Qian Xu, Chunlei Xia, Ziming Wang, Suping Cui

Institutions: Beijing University of Technology, Henan University of Engineering, Beijing Municipal Engineering Design and Research Institute (China)

Language: English

Topic: Concrete and Cement Materials Research

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G4685784376

OpenAlex ID: W7208822217

FWCI:

Cites: 61

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Related to: 10