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Humidity Stable Thermoelectric Hybrid Materials Toward a Self-Powered Triple Sensing System
TUM School of Natural Sciences, Department of Physics, Chair for Functional Materials, Technical University of Munich, James-Franck-Str. 1, 85748, Garching, Germany.
TUM School of Natural Sciences, Department of Physics, Chair for Functional Materials, Technical University of Munich, James-Franck-Str. 1, 85748, Garching, Germany.
TUM School of Natural Sciences, Department of Physics, Chair for Functional Materials, Technical University of Munich, James-Franck-Str. 1, 85748, Garching, Germany.
TUM School of Computation, Information and Technology, Chair for Robotics, AI and Embedded Systems, Technical University of Munich, Boltzmannstr. 3, 85748, Garching, Germany.
Vise andre og tillknytning
2024 (engelsk)Inngår i: Advanced Functional Materials, ISSN 1616-301X, E-ISSN 1616-3028, Vol. 34, nr 25, artikkel-id 2316088Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Highly sensitive and humidity-resistive detection of the most common physical stimuli is of primary importance for practical application in real-time monitoring. Here, a simple yet effective strategy is reported to achieve a highly humidity-stable hybrid composite that enables simultaneous and accurate pressure and temperature sensing in a single sensor. The improved electronic performance is due to the enhanced planarity of poly (3,-4ethylenedioxythiophene) (PEDOT) and charge transfer between PEDOT:polystyrene sulfonate (PEDOT:PSS) and multi-walled carbon nanotubes (CNTs) by strong π–π interaction. The preferred electronic pathway induced by a robust morphology in the hybrid composite is responsible for the high humidity stability. This study also demonstrates that the sensor has tremendous potential for intelligent object identification with a high level of 97.78% accuracy. Together with the position-detection capability of a triboelectric nanogenerator (TENG), advantages for potential industrial applications of the triple sensing system in terms of intelligent classification without seeing are foreseen.

sted, utgiver, år, opplag, sider
Wiley , 2024. Vol. 34, nr 25, artikkel-id 2316088
Emneord [en]
humidity stability, PEDOT:PSS hybrid composite, thermoelectric/triboelectric effect, triple sensing system
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Identifikatorer
URN: urn:nbn:se:kth:diva-366414DOI: 10.1002/adfm.202316088ISI: 001162120300001Scopus ID: 2-s2.0-85184738841OAI: oai:DiVA.org:kth-366414DiVA, id: diva2:1982411
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QC 20250708

Tilgjengelig fra: 2025-07-08 Laget: 2025-07-08 Sist oppdatert: 2025-07-08bibliografisk kontrollert

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