Machine learning in concrete science: applications, challenges, and best practices

Abstract Concrete, as the most widely used construction material, is inextricably connected with human development. Despite conceptual and methodological progress in concrete science, concrete formulation for target properties remains a challenging task due to the ever-increasing complexity of cemen...

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Bibliographic Details
Main Authors: Zhanzhao Li, Jinyoung Yoon, Rui Zhang, Farshad Rajabipour, Wil V. Srubar III, Ismaila Dabo, Aleksandra Radlińska
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-022-00810-x