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The paradigm shift of intelligent material design and development for fire safety: progress, challenges, and machine learning | Synapse
March 3, 2026
The paradigm shift of intelligent material design and development for fire safety: progress, challenges, and machine learning
YR
Yuanchuan Ren
Panzhihua University
YL
Yuhang Lin
Panzhihua University
XZ
Xuejun Zhu
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Puntos clave
Fire safety is advanced by machine learning techniques for improved material design and function.
Significant progress includes novel intelligent materials that resist fire while enhancing structural integrity.
Analysis of existing literature reveals challenges in integrating machine learning into material development processes.
Support for this innovative approach could enhance fire safety regulations and building practices.
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Cite This Study
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Ren et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75ec8c6e9836116a29b1f
https://doi.org/https://doi.org/10.1016/j.polymdegradstab.2026.111978