Mechanism‐Guided Thermoelectric Strategies for Smart Fire Prevention

B Boyou Hou (School of Agriculture and Environmental Science Centre for Future Materials University of Southern Queensland Springfield Queensland 4300 Australia) Y Yong Guo (Nanoyang Group, Tianjin Key Laboratory of Advanced Carbon and Electrochemical Energy Storage, School of Chemical Engineering and Technology, National Industry-Education Integration Platform of Energy Storage, and Collaborative Innovation Center of Chemical Science and Engineering (Tianjin)) Q Qingshan Yang L Long‐Cheng Tang (Key Laboratory of Organosilicon Chemistry and Material Technology of MoE College of Material Chemistry and Chemical Engineering Hangzhou Normal University Hangzhou 311121 People's Republic of China) Y Yongqian Shi (College of Environment and Safety Engineering Fuzhou University Fuzhou 350116 People's Republic of China) J Jiefeng Gao Y Ye‐Tang Pan (National Engineering Research Center of Flame Retardant Materials School of Materials Science & Engineering Beijing Institute of Technology Beijing 100081 P. R. China) M Min Hong (Centre for Future Materials, School of Science, Engineering and Digital Technologies) T Toan Dinh (School of Engineering Centre for Future Materials University of Southern Queensland Springfield Queensland 4300 Australia) H Hao Wang (Division of Quantitative Sciences, Department of Oncology Johns Hopkins University School of Medicine Baltimore Maryland USA) Z Zhi‐Gang Chen (School of Chemistry and Physics ARC Research Hub in Zero‐Emission Power Generation for Carbon Neutrality and Centre for Materials Science Queensland University of Technology Brisbane Queensland Australia) P Pingan Song (Centre for Future Materials, University of Southern Queensland, Springfield Campus, QLD 4300, Australia)

Abstract

Abstract Fire prevention and early warning systems are essential to minimize fire risks. Thermoelectric (TE) materials that convert temperature gradients into electrical signals offer a promising pathway for designing self‐powered fire‐warning technologies and devices; however, their practical applications are often impeded by their low output power, inefficient charge transport, and poor interfacial compatibility. Despite several relevant reviews focusing on material types, it has remained underexplored from a mechanism‐driven perspective to enhance the fire prevention performance of TE strategies to date. To fill this knowledge gap, this work aims to systematically review TE materials and design strategies, e.g., structural design, energy filtering, ion doping, ionic thermoelectric effects, and interfacial engineering. This work highlights typical applications of TE‐driven fire prevention systems, such as wearable sensors, distributed forest fire monitoring networks, and intelligent building safety systems. Finally, future directions are discussed, which include multifunctional integration, durability under harsh conditions, and AI‐driven fire prediction, paving the way for developing intelligent, self‐powered fire safety technologies. This work underpins how mechanism‐oriented material design advances next‐generation fire warning systems with enhanced sensitivity, environmental adaptability, and autonomous operation, thereby expediting the creation of next‐generation fire‐prevention system and platform.

Article Details

Volume / Issue Vol. 37, Issue 39
Published October 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (12)

B

Boyou Hou

School of Agriculture and Environmental Science Centre for Future Materials University of Southern Queensland Springfield Queensland 4300 Australia

Y

Yong Guo

Nanoyang Group, Tianjin Key Laboratory of Advanced Carbon and Electrochemical Energy Storage, School of Chemical Engineering and Technology, National Industry-Education Integration Platform of Energy Storage, and Collaborative Innovation Center of Chemical Science and Engineering (Tianjin)

Q

Qingshan Yang

L

Long‐Cheng Tang

Key Laboratory of Organosilicon Chemistry and Material Technology of MoE College of Material Chemistry and Chemical Engineering Hangzhou Normal University Hangzhou 311121 People's Republic of China

Y

Yongqian Shi

College of Environment and Safety Engineering Fuzhou University Fuzhou 350116 People's Republic of China

J

Jiefeng Gao

Y

Ye‐Tang Pan

National Engineering Research Center of Flame Retardant Materials School of Materials Science & Engineering Beijing Institute of Technology Beijing 100081 P. R. China

M

Min Hong

Centre for Future Materials, School of Science, Engineering and Digital Technologies

T

Toan Dinh

School of Engineering Centre for Future Materials University of Southern Queensland Springfield Queensland 4300 Australia

H

Hao Wang

Division of Quantitative Sciences, Department of Oncology Johns Hopkins University School of Medicine Baltimore Maryland USA

Z

Zhi‐Gang Chen

School of Chemistry and Physics ARC Research Hub in Zero‐Emission Power Generation for Carbon Neutrality and Centre for Materials Science Queensland University of Technology Brisbane Queensland Australia

P

Pingan Song

Centre for Future Materials, University of Southern Queensland, Springfield Campus, QLD 4300, Australia