Work

Machine learning‐based prediction and physicochemical interpretation of compressive strength development in metakaolin‐based geopolymer concrete

Year: 2026

Type: article

Source: Environmental Progress & Sustainable Energy

DOI: 10.1002/ep.70786

Authors: Sham Hara Mohammed, Lalan Barzan Hussein, Yaseen Ahmed Hamaamin, Ahmed Salih Mohammed, Payam Abdulrahman, Panagiotis G. Asteris

Institutions: American University of Iraq Sulaimani, University of Sulaimani, Tishk International University

Language: English

Topic: Concrete and Cement Materials Research

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7225299339

FWCI:

Cites: 43

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Related to: 10