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Progress and challenges for anti-/de-icing materials: integrating bioinspiration, multifunctional coupling, and AI design

delete2026-07-30
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PRE
AI
L
Linlin Wei
X
Xudong Xu
P
Peng Chen
X
Xiaoming Feng *
DOI:10.1016/j.pmatsci.2026.101795delete
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Abstract

Abstract

En 中文
• The review highlights the synergistic application of advanced nano/micro materials and structures, elucidating the immense potential of hierarchical nano/micro architectures in enhancing anti-/de-icing efficiency. • Emphasis is placed on the optimization of energy conversion mechanisms through multi-scale structural design, aiming to maximize both photothermal and electrothermal efficiencies. • A deep integration of active thermal-responsive functions with passive superhydrophobic interfaces is proposed to achieve a collaborative optimization of “passive anti-icing and active de-icing”. • An AI-assisted closed-loop design framework is proposed to guide performance prediction, inverse design, and multi-objective optimization for anti-/de-icing materials.

Journal

Progress in Materials Science cover
Progress in Materials Science
IF:
40
Papers:
1.3K
Citations:
3.7W

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