Abedi et al. Supplementary Files –"Transformative Low-Carbon 3D-Printed Infrastructure: Machine Learning-Driven Self-Sensing and Heating LC3 Cement Composites"

Appendix A – Python Codes and Decision Trees of the paper titled "Transformative Low-Carbon 3D-Printed Infrastructure: Machine Learning-Driven Self-Sensing and Heating LC3 Cement Composites"

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-22
DOI
https://doi.org/10.5281/zenodo.15714612
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.00
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article

Abedi et al. Supplementary Files –"Transformative Low-Carbon 3D-Printed Infrastructure: Machine Learning-Driven Self-Sensing and Heating LC3 Cement Composites"

Zenodo (CERN European Organization for Nuclear Research)
Smart Materials for Construction
article

Abedi et al. Supplementary Files –"Transformative Low-Carbon 3D-Printed Infrastructure: Machine Learning-Driven Self-Sensing and Heating LC3 Cement Composites"

article en

Abstract

Appendix A – Python Codes and Decision Trees of the paper titled "Transformative Low-Carbon 3D-Printed Infrastructure: Machine Learning-Driven Self-Sensing and Heating LC3 Cement Composites"

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Smart Materials for Construction
DOIOpen Access PDFOpenAlex
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Abedi et al. Supplementary Files –"Transformative Low-Carbon 3D-Printed Infrastructure: Machine Learning-Driven Self-Sensing and Heating LC3 Cement Composites" · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS