Titolo | Recent Advances in Graphene Adaptive Thermal Camouflage Devices |
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Tipo di pubblicazione | Articolo su Rivista peer-reviewed |
Anno di Pubblicazione | 2024 |
Autori | Sansone, L., Loffredo Fausta, Cilento F., Miscioscia Riccardo, Martone A., Barrella N., Paulillo B., Bassano A., Villani Fulvia, and Giordano M. |
Rivista | Nanomaterials |
Volume | 14 |
ISSN | 20794991 |
Abstract | Thermal camouflage is a highly coveted technology aimed at enhancing the survivability of military equipment against infrared (IR) detectors. Recently, two-dimensional (2D) nanomaterials have shown low IR emissivity, widely tunable opto-electronic properties, and compatibility with stealth applications. Among these, graphene and graphene-like materials are the most appealing 2D materials for thermal camouflage applications. In multilayer graphene (MLG), charge density can be effectively tuned through sufficiently intense electric fields or through electrolytic gating. Therefore, MLG’s optical properties, like infrared emissivity and absorbance, can be controlled in a wide range by voltage bias. The large emissivity modulation achievable with this material makes it suitable in the design of thermal dynamic camouflage devices. Generally, the emissivity modulation in the multilayered graphene medium is governed by an intercalation process of non-volatile ionic liquids under a voltage bias. The electrically driven reduction of emissivity lowers the apparent temperature of a surface, aligning it with the background temperature to achieve thermal camouflage. This characteristic is shared by other graphene-based materials. In this review, we focus on recent advancements in the thermal camouflage properties of graphene in composite films and aerogel structures. We provide a summary of the current understanding of how thermal camouflage materials work, their present limitations, and future opportunities for development. © 2024 by the authors. |
Note | cited By 0 |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203702707&doi=10.3390%2fnano14171394&partnerID=40&md5=e890fabd7cfb053e2a766837c13ba9cd |
DOI | 10.3390/nano14171394 |
Citation Key | Sansone2024 |