4.8 Article

Atomic-Molecular Engineering Tailoring Graphene Microlaminates to Tune Multifunctional Antennas

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 33, Issue 15, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202212379

Keywords

atomic-molecular engineering; electromagnetic attenuation; energy conversion; graphene microlaminates; multifunctional antennas

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Atomic-molecular engineering is an effective method for precisely manipulating the microstructures and components of materials at the micro-nano scale, allowing for flexible control of their electromagnetic response. In this study, graphene microlaminates with a multi-layer structure were fabricated using atomic cluster engineering and oxidative molecular layer deposition. By adjusting the cycles of poly(3,4-ethylenedioxythiophene), the microlaminates exhibited tunable electromagnetic loss, with an attenuation constant of 160. Based on this, multifunctional antennas were developed, which achieved frequency-selective response and efficient energy harvesting from the signal source, as well as the recycling of waste heat and mechanical energy. This study opens up new possibilities for information transmission and artificial intelligence in the future.
Atomic-molecular engineering is an effective way to accurately tailor the microstructures and components of materials at the micro-nano scale, which can be applied to flexibly manipulate their electromagnetic (EM) response. Herein, graphene microlaminates with multi-layer structure are fabricated by atomic cluster engineering and oxidative molecular layer deposition for the first time. The microlaminates enable a tunable EM loss (from 0.93 to 3.94 for imaginary permittivity and from 0.17 to 0.25 for imaginary permeability) by changing poly(3,4-ethylenedioxythiophene) cycles, and the attenuation constant reaches 160. On this basis, multifunctional antennas are conceived, achieving frequency-selective response that enables steady harvest of > 90% of EM energy from signal source, and tactfully recycling waste heat energy and mechanical energy. This study will furnish a new horizon for information transmission and artificial intelligence in the future.

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