TabNet-driven interpretable prediction of multi-oxide composition in cement using NIR spectroscopy

This framework provides a scalable and insightful solution for spectral-based analysis, not only for cement quality monitoring but also for other materials science applications. The code is available at https:// github.com/Andrew-Leopard/CementOxidePredictor.

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Publication Details

Journal
Frontiers in Chemistry
Published
2025-10-30
DOI
https://doi.org/10.3389/fchem.2025.1691413
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
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article

TabNet-driven interpretable prediction of multi-oxide composition in cement using NIR spectroscopy

Gang Li
Frontiers in Chemistry
Spectroscopy and Chemometric Analyses
article

TabNet-driven interpretable prediction of multi-oxide composition in cement using NIR spectroscopy

Gang Li
article en

Abstract

This framework provides a scalable and insightful solution for spectral-based analysis, not only for cement quality monitoring but also for other materials science applications. The code is available at https:// github.com/Andrew-Leopard/CementOxidePredictor.

Frontiers in ChemistryVol. 13
Shandong Normal University (CN)
Openalex Percentile: Top 64%
Spectroscopy and Chemometric Analyses
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TabNet-driven interpretable prediction of multi-oxide composition in cement using NIR spectroscopy — Gang Li · Frontiers in Chemistry (2025) | TGRS Research Map | TGRS