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Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots.
Bevione, Matteo; Chiolerio, Alessandro; Tagliabue, Giulia.
Afiliação
  • Bevione M; Empa─Swiss Federal Laboratories for Materials Science and Technology, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland.
  • Chiolerio A; Laboratory of Nanoscience for Energy Technology (LNET), École Polytechnique Fédérale de Lausanne, Rte Cantonale, 1015 Lausanne, Switzerland.
  • Tagliabue G; Center for Converging Technnologies, Soft Bioinspired Robotics, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.
ACS Appl Mater Interfaces ; 15(43): 50106-50115, 2023 Nov 01.
Article em En | MEDLINE | ID: mdl-37853519
ABSTRACT
In situ energy generation in soft, flexible, autonomous devices is challenging due to the need for highly stretchable and fault-resistant components. Nanofluids with pyro-, tribo-, or thermoelectric properties have recently emerged as promising solutions for realizing liquid-based energy harvesters. Yet, large thermal gradients are required for the efficient performance of these systems. In this work, we show that oil-based plasmonic nanofluids uniquely combine high photothermal efficiency with strong heat localization. In particular, we report that oleic acid-based nanofluids containing TiN nanoclusters (0.3 wt %) exhibit 89% photothermal efficiency and can realize thermal gradients as large as 15.5 K/cm under solar irradiation. We experimentally and numerically investigate the photothermal behavior of the nanofluid as a function of solid fraction concentration and irradiation wavelength, clarifying the interplay of thermal and optical properties and demonstrating a dramatic improvement compared with water-based nanofluids. Overall, these results open unprecedented opportunities for the development of liquid-based energy generation systems for soft, stand-alone devices.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article