2012
DOI: 10.1103/physrevlett.109.264301
|View full text |Cite
|
Sign up to set email alerts
|

Nanoscale Radiative Heat Flow due to Surface Plasmons in Graphene and Doped Silicon

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

3
67
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
6
3

Relationship

1
8

Authors

Journals

citations
Cited by 94 publications
(70 citation statements)
references
References 35 publications
3
67
0
Order By: Relevance
“…After incorporating the random current j into Maxwell's equations, thermal radiation can be calculated by averaging the energy flux or the energy density of electromagnetic waves from the random currents. In addition, using stochastic electrodynamics to calculate the thermal radiation of graphene and other materials has been justified by previous experimental works [27,28]. To solve stochastic Maxwell's equations, rather than evaluating the contribution from each incoherent random dipole inside emitters, which is extremely computationally expensive, we apply the FSC formulation [17] and the WCE formulation [18] to evaluate the thermal radiation energy flux and the field profile of graphene.…”
Section: Appendix A: Thermal Radiation Simulationmentioning
confidence: 99%
“…After incorporating the random current j into Maxwell's equations, thermal radiation can be calculated by averaging the energy flux or the energy density of electromagnetic waves from the random currents. In addition, using stochastic electrodynamics to calculate the thermal radiation of graphene and other materials has been justified by previous experimental works [27,28]. To solve stochastic Maxwell's equations, rather than evaluating the contribution from each incoherent random dipole inside emitters, which is extremely computationally expensive, we apply the FSC formulation [17] and the WCE formulation [18] to evaluate the thermal radiation energy flux and the field profile of graphene.…”
Section: Appendix A: Thermal Radiation Simulationmentioning
confidence: 99%
“…As the graphene sheet is heated up, these different infrared absorption pathways become thermal emission sources, with contributions that vary with the graphene carrier density and surface geometry. The graphene plasmons are particularly interesting as thermal emitters because their small mode volumes allow for extremely efficient thermal energy transfer in the near field 27,28 , and also lead to large Purcell factors that can enhance the emission rate of emitters within the plasmon mode volume 29 . These large Purcell factors suggest that electronic control of the graphene plasmonic modes could potentially control thermal radiation at timescales much faster than the spontaneous emission rate for conventional light emitting diodes and classical blackbody emission sources.…”
mentioning
confidence: 99%
“…It has been theoretically predicted that NFRHT can be controlled using nanoporous materials, 5 thin films, 6,7 and graphene sheets, [8][9][10][11] or by adjusting the material temperature, 12 surface roughness, 13 and metal-insulator transition. 14 In contrast to a large number of theoretical studies, there exist few experiments that demonstrate the tuning of NFRHT.…”
mentioning
confidence: 99%
“…16,17 Very recently, van Zwol et al measured NFRHT between a glass microsphere and two thin silicon films with different carrier concentrations, but detailed theoretical analysis was not provided, and the trend of NFRHT versus carrier concentration was still unclear as only two samples were measured. 11 In this letter, we provide a comprehensive analysis for tuning NFRHT through changing the carrier concentration of both p-type and n-type bulk silicon. To fully demonstrate the tunability of NFRHT using doped silicon and to verify our theoretical results, measurements of NFRHT are conducted towards multiple bulk silicon samples with different carrier concentrations.…”
mentioning
confidence: 99%