2014
DOI: 10.1021/nl4042577
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Ultrafast and Nanoscale Plasmonic Phenomena in Exfoliated Graphene Revealed by Infrared Pump–Probe Nanoscopy

Abstract: Pump-probe spectroscopy is central for exploring ultrafast dynamics of fundamental excitations, collective modes, and energy transfer processes. Typically carried out using conventional diffraction-limited optics, pump-probe experiments inherently average over local chemical, compositional, and electronic inhomogeneities. Here, we circumvent this deficiency and introduce pump-probe infrared spectroscopy with ∼ 20 nm spatial resolution, far below the diffraction limit, which is accomplished using a scattering s… Show more

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Cited by 167 publications
(193 citation statements)
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References 54 publications
(120 reference statements)
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“…Comparing the relevant time scales of plasmonic modulation in different materials in Table 1, we find a subpicosecond response time for InAs that is longer than that of graphene 11 and metals. 35,36 However, this time constant in InAs is a consequence of photoexcitation far above the Γ-point with subsequent carrier relaxation to the Γ-minimum, a process that can be accelerated by injecting electrons closer to the conduction band minimum via lower photon energies.…”
mentioning
confidence: 95%
“…Comparing the relevant time scales of plasmonic modulation in different materials in Table 1, we find a subpicosecond response time for InAs that is longer than that of graphene 11 and metals. 35,36 However, this time constant in InAs is a consequence of photoexcitation far above the Γ-point with subsequent carrier relaxation to the Γ-minimum, a process that can be accelerated by injecting electrons closer to the conduction band minimum via lower photon energies.…”
mentioning
confidence: 95%
“…1. The ultrafast response of optically heated graphene has been probed through pump-probe spectroscopy and has been shown to sustain plasmons induced by an elevated electron temperature [9,16]. Likewise, optical heating of BP has been also demonstrated to enable plasmons in the material [17].…”
Section: Introductionmentioning
confidence: 99%
“…The gross features of the data are captured by our numerical analysis (blue curves in Figure 2b,c), where we calculate the near-field amplitude by modeling the AFM tip as a conducting spheroid (Supporting Information). 4,6,29 The key modeling parameter is the complex plasmon wavevector (qp) of graphene that contains information about both the plasmon wavelength p = 2/Re(qp) and plasmon damping rate p = Im(qp)/Re(qp).As introduced in our previous works 4,6 , the above modeling method is quantitatively accurate and it allows us to extract the complex qp by directly fitting the plasmon fringe profiles. The fitting was performed on both the broadband (Figure 2b) and CW (Figure 2c) data sets.…”
mentioning
confidence: 97%