Localized Heating with Graphene Plasmon Networks
2021-05
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Localized Heating with Graphene Plasmon Networks
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2021-05
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The aim of this thesis is to introduce and explore the concept of adaptive localizedheating and hot-spot generation with graphene plasmon networks. First, we review the
topic of localized heating methods in the literature. Next, we discuss the drawbacks
and limitations of current methods for local heating and propose our approach based
on tunable resonant absorption in graphene plasmon networks.
To begin with, we introduce the basic material properties (transport, optical, and
electronic) of graphene, a two-dimensional arrangement of carbon atoms, and discuss the
principles of graphene plasmon-polariton electromagnetic modes. Next, we present the
results of absorption prole for the nano-structured graphene. Concretely, the graphene
plasmons are modeled via both the rigorous coupled-wave analysis (RCWA) and nite
element analysis. After we theoretically validate and conrm the generation of the hotspot
based on absorption prole, we move on to the spatial temperature prole by means
of the nite element analysis. In addition to the single cell heat transport simulation, we
also discuss the heat transport results for the multi-cell model and extended multi-cell
model. As a result, we theoretically conrm that localized hot-spots can be controllablly
and adaptively formed in the extended multi-cell network. We further characterize the
spatial temperature proles and discuss the hot-spot temperature gradients. Lastly, we
present the potential fabrication process of this device and review candidate heating
control methods based on programmable electrostatic gating.
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University of Minnesota M.S.E.E. thesis. May 2021. Major: Electrical Engineering. Advisor: Ognjen Ilic. 1 computer file (PDF); vii, 52 pages.
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Luo, Yujie. (2021). Localized Heating with Graphene Plasmon Networks. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/226338.
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