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Strong anomalous optical dispersion of graphene: complex refractive index measured by Picometrology

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Abstract

We introduce spinning-disc Picometrology which is designed to measure complex refractive index of ultra-thin and size-limited sample deposited on a solid surface. Picometrology is applied to measure the refractive index of graphene on thermal oxide on silicon. The refractive index varies from ñg=2.4-1.0i at 532 nm to ñg=3.0-1.4i at 633 nm at room temperature. The dispersion is five times stronger than bulk graphite (2.67- 1.34i to 2.73-1.42i from 532 nm to 633 nm).

©2008 Optical Society of America

1. Introduction

Graphene is a two-dimensional atomic carbon crystal of a single layer of graphite, which can be prepared by micromechanical cleavage [1, 2]. The unique structure of graphene gives it many distinguishing features, including field effect [2], anomalous quantum hall effect [3, 4], high intrinsic strength [5] among others [6, 7]. In contrast to the extensive electrical studies, optical studies of graphene have lagged because traditional optical techniques such as ellipsometry fail when applied to graphene because of graphene’s sub-nanometer thickness, its dielectric anisotropy, small transverse sample size (usually 10 µm) and sparse distribution on the substrate when using the current manual exfoliation method. The refractive index ñg and the optical dispersion are fundamental optical properties of graphene that remain unsettled. Reflectometry has been applied to acquire reflectance spectra over a broad wavelength region to find an average ñg by fitting the spectrum [8, 9]. However, those works assumed that graphene has a constant refractive index in the wavelength region ranging from 400 nm to 800 nm to fit the average ñg, therefore optical dispersion was not included and the results could be inaccurate. In this paper, we introduce Picometrology and apply it to measure the refractive index of graphene at 488 nm, 532 nm and 633 nm, and a strong dispersion of ñg was found in the visible region.

 figure: Fig. 1.

Fig. 1. Principles of Picometrology. A graphene layer modifies the reflection coefficient r̃ of a substrate into r̃′ according to Eq. (3). By measuring both the amplitude change and phase change of r̃, the complex ñg can be calculated. (a) A focused Gaussian beam scans across a graphene sample. The reflected light forms a Fraunhoffer diffraction pattern in the far field or Fourier plane. (b) When the spot scans across the edge of the graphene, the center of the diffraction pattern is shifted from the original position due to the phase difference between r̃ and r̃′. When the spot is on the graphene, the reflected intensity drops due to the amplitude difference between r̃ and r̃′. By combining the center shift and intensity drop of the diffraction pattern, the full change of r̃ is calculated. (c) A split detector is used to monitor the intensity drop and center shift simultaneously. The output I and PC signals are directly related with ñg by Eq. (6).

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The spinning-disc Picometrology, based on common-path interferometry [10], can measure the complex refractive index of a thin film (down to 10 pm thickness) with small size (currently down to 4 µm) deposited on an flat substrate, using normal incidence at an arbitrary wavelength. Picometrology studies thin films deposited on a substrate that has a reflection coefficient r̃. The thin film (graphene in this paper) modifies r̃ of the substrate in both amplitude and phase. Traditional reflectometry only measures the amplitude change of r̃ (i.e., the absolute value of r̃). Therefore it cannot acquire the complex change, which is essential for the calculation of complex ñ of the thin film. With Picometrology we measure the phase change by monitoring the asymmetric diffraction of the reflected beam when the focal spot scans over the edge of the thin film (Fig. 1). The center of the diffraction pattern in the far-field, or on a Fourier plane, is shifted when half the spot is on the substrate and the other half is on the graphene-modified substrate. Picometrology measures both amplitude and phase change of r̃ due to the thin film with a quadrant detector that simultaneously monitors both intensity and shift of a reflected beam.

2. Methods and equations

The equations for Picometrology treat a thin film on an arbitrary substrate. If the substrate has a reflection coefficient r̃ in air under conditions of wavelength λ (in vacuum) and normal incidence, then after applying a thin film with thickness d and refractive index ñg on the substrate, the reflection coefficient is changed to r̃ [10, 11]

r˜=(eiδgeiδg)r˜g+r˜(eiδgr˜g2eiδg)(eiδgr˜g2eiδg)+r˜(eiδgeiδg)r˜ge2iδgn˜g

where δg=2πn˜gλd r̃g is the reflection coefficient at the interface between the ambient medium and the thin film.

If dλ, Eq. (1) is simplified to be

r˜=r˜+[(r˜gr˜)(1r˜r˜g)(1r˜g2)+r˜n˜g]4πin˜gdλ

and using r̃g=(1-ñg)/(1+ñg) at normal incidence, Eq. (2) is further simplified to be

r˜=r˜+(1+r˜)2(1n˜g2)πiλd

In summary, graphene with a thickness d causes the reflection coefficient change (1+r̃)2(1-ñ2 g)πdi/λ on a substrate with original reflection coefficient r̃. The complex ñg can be calculated by measuring both amplitude and phase change of r̃ caused by the graphene.

In Picometrology, a split detector is used to detect intensity (I) and phase-contrast (PC) signals which respectively carry the information of amplitude change and phase change of r̃ due to the graphene. The detector window is located on the Fourier plane of the reflected beam (Fig. 2). The detection window consists of two halves A and B with output signals I= B+A and PC=B-A.

The focal spot scans over the graphene sample with thickness d and profile s(x) which is a Heaviside step function for the description of the graphene profile. The two-channel signals are normalized to iI(x) and iPC(x) by dividing the intensity change and the PC signal by the reflected intensity from the blank substrate. The relation between the normalized two-channel responses and the profile of the thin film (graphene) is

iI(x)=Im[(n˜g21)(1+r˜)2r˜]2πdλg2(x)s(x)
iPC(x)=Re[(n˜g21)(1+r˜)2r˜]2πdλ(D(x)×g(x))s(x)

where ere D(x) is Dawson function (Hilbert transformation of g(x)). The details of the derivations can be found in Ref. [10]. The function g(x) is a normalized Gaussian ∫ -∞ g 2(x)dx=1.

We compare the amplitudes of the I signal and the PC signal to find ñg. Eq. (4) can be re-expressed as

A[iI(x)]=Im[(n˜g21)(1+r˜)2r˜]2πdλA[g2(x)s(x)]
A[iPC(x)]=Re[(n˜g21)(1+r˜)2r˜]2πdλA[(D(x)×g(x))s(x)]

where A(f(x)) means the peak-to-peak value of f(x). The function g 2(x)⊗s(x) has amplitude unity whereas (D(xg(x))⊗s(x) is a “pulse” function with an amplitude of 0.2805. Both amplitudes are independent of the width of g(x), i.e. the focal size of the laser beam, giving

A[g 2(x)⊗s(x)]=1

A[(D(xg(x))⊗s(x)]=0.2805

This gives the equation for the refractive index measurement using Picometrology to be

(n˜g21)(1+r˜)2r˜2πdλ=3.565A[iPC(x)]+A[iI(x)]i

This equation gives a direct calculation for complex refractive index or dielectric constant of a material deposited as a film on a surface with reflection coefficient r̃ once the amplitudes of I and PC signals were measured.

3. Experiments and results

For the data acquisition of graphene sheets on a silicon wafer, 2D scanning is performed on the graphene using a four-quadrant detector. The full PC response is acquired by quadrature summation of the two PC channels (Details are shown in appendix section).

The Picometrology scanning system is shown in Fig. 2. The laser wavelength is 532 nm or 633 nm. The laser beam passes through a polarizer and a λ/4 waveplate for laser isolation, and passes through a beam expander (3×) to acquire high resolution. The expanded laser beam is focused on the sample by a 5×objective lens with a resolution of 2 µm. The silicon wafer is mounted on a spinner fixed on a linear stage. The 2D scans are performed by spinning the sample and translating the stage (resolution is 0.1 µm). The reflected light from the sample is collected by the lens and transformed to a quadrant detector at the Fourier plane. Two lenses and a pinhole are placed before the detector as a spatial filter. The quadrant detector has three outputs: the total intensity and two phase contrast signals.

 figure: Fig. 2.

Fig. 2. The optical layout of the Picometrology system.

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Two graphene monolayer samples were tested at 532 nm and 633 nm wavelengths. (Sample 1 is mechanically exfoliated from natural graphite, and Sample 2 is purchased from Graphene Industries Company where graphene is made from highly oriented pyrolytic graphite (HOPG). Monolayers were previously identified on these samples). The substrates were silicon wafers grown with SiO2 film. The SiO2 thicknesses were measured to be 310 nm for sample 1 and 285 nm for sample 2 by analyzing the reflectance spectrum. The refractive index of SiO2 and silicon is 1.457 and 3.78 at 532 nm, and 1.463 and 4.17 at 633 nm, respectively [12, 13]. The complex-valued reflection coefficients of samples 1 and 2 on their surfaces were calculated to be r̃=-0.075 - 0.460i and r̃=0.270 - 0.211i at 532 nm and r̃=0.223 + 0.237i and r̃=-0.047 + 0.429i at 633 nm. Fig. 3(a1) and fig. 3(b1) show the two graphene samples observed under a microscope. In Fig. 3(a2), (a3), (b2) and (b3) are the 2D images of the I and PC channel data. The PC channel detects the graphene edge whereas the I channel detects the flat graphene regions.

 figure: Fig. 3.

Fig. 3. Two graphene samples scanned under 532 nm wavelength. The substrates for two graphene monolayer samples are silicon wafers grown with 310 nm and 285 nm SiO2 respectively. The normalized amplitudes of I and PC signals are calculated and listed in Table 1. Using Eq.6, ñg was calculated to be 2.37-0.97i and 2.37 -1.07i for sample 1 and 2.

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In Fig. 3 (a4), the amplitudes of the normalized I and PC signals from the graphene monolayer are A[iI(x)]=(180.1-180.95)/180.95=-0.0047 and A[iPC(x)]=2.70/180.95=0.0149 (Fig. 3). Using the substrate reflectance, the thickness 0.335 nm of the graphene monolayer [8, 14, 15], 532 nm wavelength, and the measured amplitudes, the graphene refractive index is found to be ñg=2.37-0.97i for sample 1 and ñg=2.37-1.07i for sample 2 at 532 nm. We also acquired the complex refractive indexes of both samples at 633 nm wavelength (Fig. 4). The results give ñg=2.95-1.32i for sample 1 and ñg=2.98-1.44i for sample 2 at 633 nm. These results are listed in Table 1 (including results at 488 nm wavelength). The error of ñg detection is estimated to be ±0.1 for both the real part and the imaginary part of ñg. The error sources are the imperfect Gaussian profile of the focused spot, slight defocus and local variations of the SiO2 thickness.

 figure: Fig. 4.

Fig. 4. Two graphene samples scanned under 633 nm wavelength. The normalized amplitudes of I and PC signals are calculated and listed in Table 1. Using Eq. 6, ñg was calculated to be 2.95-1.32i and 2.98 -1.44i for samples 1 and 2.

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Tables Icon

Table 1. The conditions of and results for refractive index measurement of graphene

For comparison, the refractive index of bulk graphite (many stacked layers of graphene) is 2.67-1.34i at 532 nm (2.33 eV) and 2.73–1.42i at 633 nm (1.96 eV) polarized perpendicular to the c-axis [12, 16]. With the graphene refractive indexes ñg=2.4 - 1.0i at 532 nm and ñg=3.0-1.4i at 633 nm, the dispersion is five times greater for both the real part and imaginary parts. This strong dispersion of graphene is first reported and it is likely caused by the strongly modified quantum level structure of one atom layer compared to graphite. We also measured ñ of graphene bilayers and ñ of both monolayer and bilayer at 488 nm. The results are shown in Fig. 5 along with ñ of the bulk graphite [12].

 figure: Fig. 5.

Fig. 5. Complex refractive indexes of graphene monolayer, bilayer (based on the results of sample 2) and bulk graphite (ordinary refractive index).

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4. Summary

In summary, Picometrology provides a valuable and easily generalizable tool for the study of the optical properties of graphene. It measures the complex refractive index of graphene as a function of wavelength. Strong optical dispersion of graphene monolayer was found with ñg=2.4 - 1.0i at 532 nm and ñg=3.0-1.4i at 633 nm. Picometrology can also be applied to other research, such as micro-scale samples with similar limitations to the graphene (e.g., nanotube 2D array [17, 18]). Considering that many nanotechnologies involve micron-scale samples on a well-defined substrate, Picometrology has the potential to provide a standard optical approach for the study of nanolayered structures.

 figure: Fig. 6.

Fig. 6. Calculation method for the full PC signal

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Appendix:Calculation method for the full PC signal

The summed PC channel is acquired by PC=(PC12+ PC22)1/2. The sign for the sum is based on image PC1. In our configuration of optical layout, the sign is positive if the PC1 response is negative when the Gaussian spot scans from the substrate onto the graphene, or positive from the graphene onto the substrate. The sign is negative if otherwise. The examples are provided as the following images. The sign of PC response is positive for sample 1 at 633 nm (Fig. 6(a1), (a2) and (a3)) while the sign is negative for sample 2 at 532 nm (Fig. 6(b1), (b2) and (b3)).

Acknowledgment

This work was sponsored under grants from Quadraspec, Inc. and from the Indiana Economic Development Corporation through the Purdue Research Foundation. We also thank Dr. Liyuan Zhang for preparation of sample 1, Kevin O’Brian for the initial work of this project and Prof. Jiangping Hu for his insightful interpretation of the electronic properties of graphene.

References and links

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8. Z. H. Ni, H. M. Wang, J. Kasim, H. M. Fan, T. Yu, Y. H. Wu, Y. P. Feng, and Z. X. Shen, “Graphene thickness determination using reflection and contrast spectroscopy,” Nano Lett. 7, 2758–2763 (2007). [CrossRef]   [PubMed]  

9. I. Jung, M. Pelton, R. Piner, D. A. Dikin, S. Stankovich, S. Watcharotone, M. Hausner, and R. S. Ruoff, “Simple approach for high-contrast optical imaging and characterization of graphene-based sheets,” Nano Lett. 7, 3569–3575 (2007). [CrossRef]  

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Figures (6)

Fig. 1.
Fig. 1. Principles of Picometrology. A graphene layer modifies the reflection coefficient r̃ of a substrate into r̃′ according to Eq. (3). By measuring both the amplitude change and phase change of r̃, the complex ñg can be calculated. (a) A focused Gaussian beam scans across a graphene sample. The reflected light forms a Fraunhoffer diffraction pattern in the far field or Fourier plane. (b) When the spot scans across the edge of the graphene, the center of the diffraction pattern is shifted from the original position due to the phase difference between r̃ and r̃′. When the spot is on the graphene, the reflected intensity drops due to the amplitude difference between r̃ and r̃′. By combining the center shift and intensity drop of the diffraction pattern, the full change of r̃ is calculated. (c) A split detector is used to monitor the intensity drop and center shift simultaneously. The output I and PC signals are directly related with ñg by Eq. (6).
Fig. 2.
Fig. 2. The optical layout of the Picometrology system.
Fig. 3.
Fig. 3. Two graphene samples scanned under 532 nm wavelength. The substrates for two graphene monolayer samples are silicon wafers grown with 310 nm and 285 nm SiO2 respectively. The normalized amplitudes of I and PC signals are calculated and listed in Table 1. Using Eq.6, ñg was calculated to be 2.37-0.97i and 2.37 -1.07i for sample 1 and 2.
Fig. 4.
Fig. 4. Two graphene samples scanned under 633 nm wavelength. The normalized amplitudes of I and PC signals are calculated and listed in Table 1. Using Eq. 6, ñg was calculated to be 2.95-1.32i and 2.98 -1.44i for samples 1 and 2.
Fig. 5.
Fig. 5. Complex refractive indexes of graphene monolayer, bilayer (based on the results of sample 2) and bulk graphite (ordinary refractive index).
Fig. 6.
Fig. 6. Calculation method for the full PC signal

Tables (1)

Tables Icon

Table 1. The conditions of and results for refractive index measurement of graphene

Equations (8)

Equations on this page are rendered with MathJax. Learn more.

r ˜ = ( e i δ g e i δ g ) r ˜ g + r ˜ ( e i δ g r ˜ g 2 e i δ g ) ( e i δ g r ˜ g 2 e i δ g ) + r ˜ ( e i δ g e i δ g ) r ˜ g e 2 i δ g n ˜ g
r ˜ = r ˜ + [ ( r ˜ g r ˜ ) ( 1 r ˜ r ˜ g ) ( 1 r ˜ g 2 ) + r ˜ n ˜ g ] 4 π i n ˜ g d λ
r ˜ = r ˜ + ( 1 + r ˜ ) 2 ( 1 n ˜ g 2 ) π i λ d
i I ( x ) = Im [ ( n ˜ g 2 1 ) ( 1 + r ˜ ) 2 r ˜ ] 2 π d λ g 2 ( x ) s ( x )
i PC ( x ) = Re [ ( n ˜ g 2 1 ) ( 1 + r ˜ ) 2 r ˜ ] 2 π d λ ( D ( x ) × g ( x ) ) s ( x )
A [ i I ( x ) ] = Im [ ( n ˜ g 2 1 ) ( 1 + r ˜ ) 2 r ˜ ] 2 π d λ A [ g 2 ( x ) s ( x ) ]
A [ i PC ( x ) ] = Re [ ( n ˜ g 2 1 ) ( 1 + r ˜ ) 2 r ˜ ] 2 π d λ A [ ( D ( x ) × g ( x ) ) s ( x ) ]
( n ˜ g 2 1 ) ( 1 + r ˜ ) 2 r ˜ 2 π d λ = 3.565 A [ i PC ( x ) ] + A [ i I ( x ) ] i
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