The influence of different factors on the bond strength of lithium disilicate-reinforced glass–ceramics to Resin: a machine learning analysis

ML shows promise as a data-driven tool for predicting the bond strength of glass-based ceramics to resin.

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Publication Details

Journal
BMC Oral Health
Published
2025-02-18
DOI
https://doi.org/10.1186/s12903-025-05590-6
Citations
1
Primary Topic
Advanced materials and composites
Type
article
Field-Weighted Citation Impact
0.71

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article

The influence of different factors on the bond strength of lithium disilicate-reinforced glass–ceramics to Resin: a machine learning analysis

Mingjuan Wang, Shihong Tu, Haifeng Xie, Chen Chen et al.
1 citations
BMC Oral Health
Advanced materials and composites
0.71
article

The influence of different factors on the bond strength of lithium disilicate-reinforced glass–ceramics to Resin: a machine learning analysis

Mingjuan Wang, Shihong Tu, Haifeng Xie, Chen Chen, Jiawen Liu, Du Chen
article en
1 citations

Abstract

ML shows promise as a data-driven tool for predicting the bond strength of glass-based ceramics to resin.

BMC Oral HealthVol. 25(1)
Shanghai Stomatological Hospital (CN), Nanjing Medical University (CN)
Government of Jiangsu Province
Openalex Percentile: Top 36%
Advanced materials and composites
0.71
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