Multi‐Level High Entropy‐Dissipative Structure Enables Efficient Self‐Decoupling of Triple Signals

The theory of high entropy-dissipative structure is confined to high-entropy alloys and their oxide materials under harsh conditions, but it is very difficult to obtain high entropy-dissipative structure for smart sensors based on polymers and metal oxides under mild conditions. Moreover, multiple signal coupling effect heavily hinder the sensor applications, and current multimodal integrated devices can solve two signal-decoupling, but need very complicated process way. In this work, new synthesis concept is the first time to fabricate high entropy-dissipative conductive layer of smart sensors with triple-signal response and self-decoupling ability within poly-pyrrole/zinc oxide (PPy/ZnO) system. The sensor (SPZ<sub>20</sub>) amplifies pressure (17.54%/kPa) and gas (0.37%/ppm), reduces humidity (0.41%/% RH) and temperature (0.12%/°C) signals, simultaneously achieving the triple self-decoupling effect of pressure and gas in the complex temperature-humidity field because of the enlarged pressure-contact area, enhanced gas-responsive sites, altered vapor path and its own heat insulation function. Additionally, it inherits the strong robustness (500 rubbing, washing, and heating or freezing cycles) and endurance (10 000 photo-purification cycles) of traditional high-entropy materials for information transmission and smart alarms in emergencies or harsh environments. This work gives a new insight into the multiple-signal response and smart flexible electronic design from natural fibers.

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Publication Details

Journal
Advanced Materials
Published
2024-11-27
DOI
https://doi.org/10.1002/adma.202406054
Citations
15
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
1.76

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article

Multi‐Level High Entropy‐Dissipative Structure Enables Efficient Self‐Decoupling of Triple Signals

Kam Chiu Tam, Mengting Jiang, Yanjuan Dong, Shaobing Wang et al.
15 citations
Advanced Materials
Thermal properties of materials
1.76
article

Multi‐Level High Entropy‐Dissipative Structure Enables Efficient Self‐Decoupling of Triple Signals

Kam Chiu Tam, Mengting Jiang, Yanjuan Dong, Shaobing Wang, Shenghong Li, Hou‐Yong Yu, Binkai Wu, Weiqiang Xu, Chundi Pan
article en
15 citations

Abstract

The theory of high entropy-dissipative structure is confined to high-entropy alloys and their oxide materials under harsh conditions, but it is very difficult to obtain high entropy-dissipative structure for smart sensors based on polymers and metal oxides under mild conditions. Moreover, multiple signal coupling effect heavily hinder the sensor applications, and current multimodal integrated devices can solve two signal-decoupling, but need very complicated process way. In this work, new synthesis concept is the first time to fabricate high entropy-dissipative conductive layer of smart sensors with triple-signal response and self-decoupling ability within poly-pyrrole/zinc oxide (PPy/ZnO) system. The sensor (SPZ<sub>20</sub>) amplifies pressure (17.54%/kPa) and gas (0.37%/ppm), reduces humidity (0.41%/% RH) and temperature (0.12%/°C) signals, simultaneously achieving the triple self-decoupling effect of pressure and gas in the complex temperature-humidity field because of the enlarged pressure-contact area, enhanced gas-responsive sites, altered vapor path and its own heat insulation function. Additionally, it inherits the strong robustness (500 rubbing, washing, and heating or freezing cycles) and endurance (10 000 photo-purification cycles) of traditional high-entropy materials for information transmission and smart alarms in emergencies or harsh environments. This work gives a new insight into the multiple-signal response and smart flexible electronic design from natural fibers.

Advanced MaterialsVol. 37(3)
Zhejiang Sci-Tech University (CN), University of Waterloo (CA), Donghua University (CN)
National Natural Science Foundation of China, State Key Laboratory for Modification of Chemical Fibers and Polymer Materials
Openalex Percentile: Top 11%
Thermal properties of materials
1.76
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