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Transcript
Experimental broadband absorption
enhancement in silicon nanohole structures with
optimized complex unit cells
Chenxi Lin,* Luis Javier Martínez, and Michelle L. Povinelli
Ming Hsieh Department of Electrical Engineering and Center for Energy Nanoscience University of Southern
California, Los Angeles, CA 90089, USA
*[email protected]
Abstract: We design silicon membranes with nanohole structures with
optimized complex unit cells that maximize broadband absorption. We
fabricate the optimized design and measure the optical absorption. We
demonstrate an experimental broadband absorption about 3.5 times higher
than an equally-thick thin film.
©2013 Optical Society of America
OCIS codes: (310.6628) Subwavelength structures, nanostructures; (350.6050) Solar energy.
References and links
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1. Introduction
Nanophotonic light-trapping structures [1, 2] promise to reduce the material cost and improve
the efficiency of solar cells. Most light-trapping structures investigated so far have consisted
of periodic arrays of sub-wavelength features. Recently, however, alternative structures have
been proposed based on aperiodic patterns [3–5]. Aperiodic structures were found to improve
solar absorption, with the additional benefit of insensitivity to incidence angle and
polarization. However, their design and optimization are a severe challenge, due to the
difficulty of simulating the electromagnetic fields of a truly aperiodic structure.
Computational work has instead focused on structures that are aperiodic on smaller length
scales, while periodic on a larger scale [6–15] (typically on the order of a micron). The largescale periodicity provides a finite computational cell for calculations, making such structures
amenable to simulation and optimization. Theoretically, it has been predicted that structures
with optimized unit cells show strong broadband absorption enhancement [8, 10, 13, 15].
However, direct comparison with experiment has been limited.
In this work, we design structures with optimized complex unit cells in a silicon
membrane that maximizes absorption over the solar spectrum. We then fabricate the optimal
structure and measure the absorption in the 600 – 1000 nm wavelength range. The optimal
structure absorbs about 3.5 times more light than a thin film of equal thickness, using only
76% silicon volume. Our results show excellent agreement between theory and experiment,
suggesting the broad applicability of optimization techniques for photovoltaic structure
design.
2. Design and optimization
Figures 1(a) and 1(b) illustrate the silicon nanohole structures under study. We consider a
free-standing silicon nanomembrane with thickness t = 310 nm patterned with holes of
diameter d = 120 nm. The unit cell is a square with side length L and repeats in both the x and
y direction. The boundaries between the unit cells are indicated by the white dashed lines.
Within each unit cell, we position (L/200 nm)2 holes in various fashion, including a simple
periodic pattern (Fig. 1(a)) and complex aperiodic geometries (Fig. 1(b)). The silicon filling
ratio is 71.7% for all structures.
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9 September 2013 | Vol. 21, No. S5 | DOI:10.1364/OE.21.00A872 | OPTICS EXPRESS A873
Fig. 1. Silicon nanohole structures with (a) simple periodic and (b) complex unit cell
geometries. (c) Calculated F.O.M.s as a function of the unit cell length in structures with
random (blue) and optimized (red) complex unit cells. The F.O.M.s for the simple periodic unit
cell case and an equally-thick thin film are also shown for reference.
We carried out systematic numerical simulations to predict the effect of complex unit cell
geometries on broadband absorption. We use the scattering matrix method (ISU-TMM) [16]
to calculate the absorptance spectra of various structures at normal incidence. Absorptance
spectra for two orthogonal polarizations were averaged to obtain the average absorptance for
randomly polarized incident light. We use the tabulated optical constants for crystalline
silicon [17] for our simulations. In order to quantify the broadband optical absorption
performance in the solar spectrum, we define a figure of merit (F.O.M.) as follows:
max

F .O.M . 
min
I ( ) A( ) d 
max

I (  ) d 
.
(1)
min
in which λ is the wavelength, I(λ) is the ASTM Air Mass 1.5 direct and circumsolar solar
irradiance spectrum [18], and A(λ) is the absorptance spectrum of the structure averaged for
two orthogonal polarizations (s and p) at normal incidence. This F.O.M. represents the ratio
between the number of absorbed photons and the total number of incident photons in the
incident solar spectrum; λmin and λmax define the wavelength range of interest and were taken
to be 400 nm and 1100 nm, respectively.
We first investigated structures with randomly positioned holes inside a unit cell, or
random complex unit cells. For each unit cell length, 100 different structures were generated
by placing holes at random positions within the unit cell. A minimum inter-hole distance of
40 nm was enforced, due to fabrication constraints. The mean value and standard deviation of
the F.O.M. over the 100 structures are indicated by blue squares and error bars in Fig. 1(c),
respectively. The F.O.M.s for the simple periodic unit cell (a = 200 nm, d = 120 nm) and an
un-patterned silicon thin film of equal thickness are also given for reference. On average,
structures with random complex unit cells outperform their simple periodic counterpart,
regardless of the unit cell size.
We next optimized the hole positions to maximize the broadband absorption. For each
unit cell length, we used a random walk optimization technique [8] to maximize the F.O.M.;
starting from the simple periodic unit cell, 100 updates of the algorithm were performed. Our
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(C) 2013 OSA
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simulation results are shown by the red star symbols in Fig. 1(c). Structures with optimized
complex unit cell geometries have significantly higher F.O.M.s than the mean values for
structures with random complex unit cells. The optimized structure with the highest F.O.M.
has a unit cell length of 600 nm.
In a separate simulation (not shown), we optimized the lattice constant of a periodic
nanohole array with the same filling ratio as the structures above. The periodic nanohole array
has only one nanohole in the center of each unit cell. The highest F.O.M. (28.35%) was
obtained for a lattice constant of 600 nm (hole diameter d = 360 nm). The structure with the
optimized unit cell geometry in Fig. 1(c) significantly outperforms this result, possibly by
breaking the symmetry within the unit cell and increasing the number of resonances that can
couple to external radiation [1, 15, 19–21].
3. Fabrication and measurement
Drawing on the above analysis, we focus on structures with a unit cell length of 600 nm. The
patterns chosen for fabrication are shown in Figs. 2(a)–2(c). Figure 2(a) illustrates the simple
periodic unit cell. Figure 2(b) is a structure with a F.O.M. closest to the mean value of our
100 randomly generated configurations. We refer to this configuration as the average
complex structure. Figure 2(c) shows the structure with the optimized complex unit cell
geometry.
We use electron beam lithography combined with inductively coupled plasma reactive ion
etching (ICP-RIE) to transfer the nanohole patterns into the device layer of a silicon-oninsulator (SOI) wafer (SOITEC). Every pattern was defined within a circular region with a
diameter of 50 µm. After the pattern formation, a 6 mm by 6 mm silicon membrane area was
defined by standard UV photolithography and ICP-RIE. The center square part of the silicon
membrane with dimensions of 500 µm by 500 µm was aligned to overlap the nanohole
patterns, while the rest of the membrane was patterned with access holes to facilitate the wet
etching of the buried oxide (BOX) layer. Finally, the silicon membrane was released from the
handle silicon wafer in 49% hydrofluoric acid (HF) and wet-transferred [22] to an oxidized
silicon wafer. The device area was centered over a perforated window in the carrier wafer to
obtain a free-standing membrane [23], so as to yield accurate measurements of absorption in
the silicon layer. Figures 2(d)–2(f) show scanning electron microscope (SEM) images of
fabricated structures with simple periodic (d), average complex (e), and optimized complex
(f) unit cell geometries. Image processing software [24] revealed that the differences in
silicon filling ratio between these patterns are below 2%.
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Fig. 2. Nanohole patterns with unit cells containing simple periodic (a), average complex (b),
and optimized complex (c) configurations of nanoholes. A total of 9 unit cells are shown for
each configuration. Red dashed lines are the borders between unit cells. (d – f) show the
corresponding SEM images of the fabricated patterns. The white square denotes a unit cell and
the scale bars are 200 nm.
We characterized the optical absorption in the fabricated samples in a customized white
light spectroscopy setup consisting of a tungsten lamp and a fiber-coupled spectrometer
(Ocean Optics USB 4000). The collimated, unpolarized incident light was focused by a
microscope objective (10x, N.A. = 0.26) to only illuminate the patterned area of interest
(circular area with 50 µm diameter). The reflected light from the sample was collected by the
same objective, while the transmitted light was collected by an achromatic doublet lens (f =
30mm, N.A. = 0.39). The collected light was focused into multimode fibers connected to the
spectrometer for analyzing both the reflectance Rexp(ω) and transmittance Texp(ω) spectra. The
experimental absorptance spectrum Aexp(ω) can then be determined by Aexp(ω) = 1 - Rexp(ω) Texp(ω). We used a silver mirror as the reflection reference while the transmission reference
was air. We focus on the wavelength range from 600 nm to 1000 nm, in order to minimize the
diffractive reflection and transmission, which can escape the collection optics and lead to
measurement errors (please see the Appendix section for details). For a unit cell length of 600
nm, wavelengths above 600 nm are prohibited from diffracting to air for a normally-incident
plane wave. For a weakly focused incidence beam as in our current experimental
configuration, diffraction happens above 600 nm. However, we have carefully examined this
issue using standard diffraction theory and numerical simulations (please see the Appendix
section for details). We have verified that the difference caused by diffraction between the
actual and measured broadband absorptance is negligible (less than 2% relative difference in
terms of the F.O.M.).
Our experimental results are shown in Figs. 3(a)–3(c). Figure 3(a) shows the reflectance.
The thin film (gray) exhibits characteristic Fabry-Perot fringes. The structure with a simple
periodic unit cell (red) also exhibits Fabry-Perot fringes, with an overall spectral shift to
lower wavelengths, corresponding to a reduced effective refractive index. The structure with
the average complex unit cell (blue) has a similar overall shape to the periodic structure, but
with notable peaks and dips in the spectra. These features are characteristic of guided
resonance modes [25, 26]. The structure with the optimized complex unit cell (green) has a
much higher number of the guided resonance features. Figure 3(b) shows the transmittance.
Fabry-Perot and guided resonance features are again visible in the spectra. The optimized
structure has a significantly lower transmittance than the other structures. Figure 3(c) shows
the absorptance. The F.O.M.s in the range between 600 nm and 1000 nm for the three
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(C) 2013 OSA
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structures are indicated by the numbers on the plot. It can clearly be seen that the optimized
structure has the highest F.O.M. (29.60%), significantly higher than the average complex unit
cell (16.85%) and 4.3 times higher than the simple periodic unit cell (5.60%). Thus, merely
by designing the geometry within the unit cell, dramatic absorption enhancement occurs. We
note also that the optimized structure has 3.5 times higher F.O.M. than a solid film with the
same thickness (6.56%), with only 76% of the silicon volume.
Fig. 3. Measured (left panel) and simulated (right panel) reflectance, transmittance, and
absorptance spectra of nanohole structures with simple periodic (red), average complex (blue),
and optimized complex (green) unit cell geometries, as shown in Fig. 2. The spectra for an
equally-thick thin film are also shown for reference (gray dashed line).
4. Comparison to simulation and discussion
We simulate the fabricated structures assuming a silicon membrane thickness of 328 nm and a
uniform nanohole diameter of 110 nm. The thickness was determined by fitting the measured
optical transmittance spectrum of an un-patterned area, and the nanohole size was found to
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give the best agreement between simulation and measurement. The results are shown in Figs.
3(d)–3(f). Overall, we observe excellent agreement between simulation and measurement.
The simulated spectra have somewhat sharper features than the experimental spectra. This is
possibly due to the fact that non-uniformity in the size and shape of nanoholes in the
fabricated sample may broaden the spectral features in experiment [27]. Another factor is the
finite spread of angles in the incident beam. In TMM simulations, we have observed that
averaging the spectra over a range of incidence angles yields smoother and broader spectral
features. In addition, the simulated F.O.M.s between 600 nm and 1000 nm for the three
different structures are indicated by numbers on Fig. 3(f). In comparison with the measured
F.O.M.s, relatively good agreement was obtained. The largest difference occurs for the
optimized complex unit cell geometry, possibly due to the high sensitivity of the optimized
geometry to fabrication imperfections.
In order to qualitatively explain why the optimized complex unit cell geometry gives
higher absorption than other unit cell geometries, we examine the spatial Fourier spectra.
Figures 4(a)–4(c) again show the real space dielectric functions for reference. Figures 4(d)–
4(f) show the corresponding spatial Fourier transforms of the dielectric function; the
amplitudes are normalized to the DC component. The Fourier transform of the simple
periodic unit cell is a square lattice, with discrete, non-zero components. The Fourier
transform of the average complex unit cell is more uniform than the simple periodic
configuration. The Fourier transform of the optimized complex unit cell has larger nearestzero Fourier components than the average complex unit cell ((k x , k y )  (2 / 600,0)nm-1 or
(0, 2 / 600)nm-1 ) ; these are the Fourier components corresponding to the unit cell
periodicity.
We can relate the spatial Fourier transforms to the guided resonance modes of the
structure. For a periodic structure, there is an onset frequency for guided resonance modes
that scales linearly with the lattice constant [26]. Conversely, in terms of wavelength, a
structure will support guided resonance modes up to a maximum wavelength that increases
linearly with lattice constant. For the structure in Fig. 4(a), the periodicity is 200 nm, and
guided modes are visible in the spectrum at about 325 nm and 380 nm (Fig. 3(f)), but not
above. The average complex unit cell geometry in Fig. 4(b) has nonzero Fourier components
at smaller wave vectors than the simple periodic unit cell ( k x and k y  3  (2 / 600)nm1 .)
corresponding to effective lattice constants between 200 and 600 nm. Such Fourier
components increase the maximum wavelength for guided resonance modes: from Fig. 3(f), it
can be seen that guided resonance features appear up to wavelengths of 1000 nm,
significantly increasing the broadband absorption. The optimized complex unit cell geometry
also gives guided resonance features up to 1000 nm, and the overall absorption is the highest.
The broadband absorption depends upon the number of resonances, the spacing between
resonances, and the external coupling rate for each resonance [1, 28, 29]. The optimization
procedure tends to select structures with largest nearest-zero Fourier components, implying
that these components correlate with the optimal resonance conditions.
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Fig. 4. Real space configurations (a – c) and spatial Fourier spectra (d – f) of nanohole
structures with simple periodic ((a) and (d)), average complex ((b) and (e)), and optimized
complex ((c) and (f)) unit cell geometries.
We have also calculated the angular response of the nanohole structure with an optimized
complex unit cell. Results for incident light with two orthogonal polarizations (s and p) and
their average are shown in Fig. 5. We found that it outperforms an un-patterned thin film with
equal thickness (310 nm) regardless of the incidence angle. Moreover, the polarizationaveraged F.O.M. for the optimized complex unit cell is higher than the optimized simple
periodic unit cell (a = 600 nm, d = 360 nm) at all angles. The better angular response for ppolarized incident light (Fig. 5(a)) for all structures can be attributed to the lower reflection
for p polarization at large incident angles. Finally, the average F.O.M. for the optimized
complex unit cell can remain above 80% of the normal incidence value for an incidence angle
as large as 70 degrees.
Fig. 5. Incidence angle dependence of the F.O.M. for nanohole structures with an optimized
complex unit cell geometry (red), optimized simple unit cell geometry (green), and an equallythick thin film (blue) for p (a) and s (b) polarized incident light, as well as the average F.O.M.
between two polarizations (c).
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5. Conclusions
In summary, we demonstrate that silicon nanohole membranes with complex unit cell
geometries can yield higher broadband optical absorption than an equally-thick silicon film.
In particular, an optimized complex unit cell geometry gives a significantly better
performance (3.5 times in the current study) than an un-patterned silicon slab, using only 76%
of the absorbing material volume.
Given the large parameter space of the optimization problem, our results may be
understood as a lower limit on the obtainable performance: further optimization may yield
complex structures with even higher broadband absorption. Reverse design approaches based
on ideal Fourier space distributions [11] and/or optimal resonant coupling conditions [28] are
interesting directions for future research.
Appendix
In our measurement setup, we use microscope objectives with a finite numerical aperture to
collect the light reflected from and transmitted through the patterned silicon membrane at
normal incidence. Therefore, the specular component of the reflection and transmission will
always be completely collected. However, diffractive reflection and transmission, which exist
for wavelengths below the diffraction threshold (see below), will likely escape the collection
optics and give an underestimation of the total reflectance R or transmittance T. As a result,
the absorptance A will be overestimated, since A is determined from A = 1 – R – T. In this
section, we carefully examine the diffraction phenomenon and quantify its effect on the
measured absorptance under current measurement conditions. Our simulation results predict a
relative difference of less than 2% between the measured and actual absorption, in terms of
the F.O.M. in the chosen wavelength range of interest (600 nm to 1000 nm). This difference
is much less than the difference in F.O.M. for different unit cell geometries.
We start by looking at a simple situation, where light with an incidence angle θi strikes a
one-dimensional periodically-patterned slab with a lattice constant a, as shown in Fig. 6. The
incident light will be specularly reflected and transmitted with an angle equal to the incidence
angle θi, as dictated by Snell’s law. In addition, when the frequency of the incident light is
high enough, discrete diffractive reflection and transmission orders also occur, as shown by
the green dashed arrows in Fig. 6. The diffraction angle θd can be determined from the
conservation of photon energy and wave vector parallel to the slab interface (with the addition
 k  2 m / a 
of multiple reciprocal lattice vectors) [30]. In particular, θd = asin 
 =
k0


 n  sin i / c  2 m / a 
asin  i
 , where ni is the refractive index of the incidence and exit
ni / c


medium, θi is the incidence angle, and m is an integer indicating the diffraction order. It can
be shown by setting θd = 90 degrees and m = 1 that the threshold wavelength λth at which
the first order diffractive reflection and transmission appears is given by a/λth =
1


 n (1  sin  )  . For wavelengths smaller than λth, |θd| < 90 degrees and diffractive reflection
 i
i 
and transmission will occur.
According to the diffraction threshold condition given above, for a perfect plane wave at
normal incidence (θi = 0°) in air (ni = 1), the diffraction threshold condition is reduced to
a/λth = 1, which means diffraction is forbidden for wavelengths larger than the lattice constant
(λ > λth = a, or a/λ < 1). It can easily be shown that the diffraction threshold condition for a
two dimensional square lattice array, as in the silicon nanohole structure, is the same as the
one-dimensional case, where a is now the lattice constant of the 2D square lattice. Therefore,
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in our nanohole structure, for wavelengths above 600 nm (the unit cell length), no diffraction
occurs for a plane wave at normal incidence.
In practice, however, we use a weakly-focused incidence beam that inevitably has a finite
angular spread. We can estimate the angular spread using the effective focal length f of the
focusing microscope objective (20 mm for our 10x objective), as well as the beam spot
diameter d at the entrance pupil of the objective (measured to be 4 mm). The half angle of the
incident cone of light is determined from θmax = atan(d/2f), which is approximately 5.7
degrees. With this angular spread, the diffraction threshold condition gives a threshold
wavelength λth of around 660 nm, and diffraction occurs between 600 nm and 660 nm.
Fig. 6. Schematic of specular and diffractive reflection and transmission processes in a onedimensional periodically patterned slab.
In order to quantify the diffraction loss, we performed scattering matrix method
simulations (ISU-TMM) to calculate the specular (zeroth order) and diffractive (non-zeroth
orders) reflectance and transmittance spectra for the three different unit cell geometries under
study, for polar incidence angles up to 10 degrees. The total reflectance and transmittance
spectra can be readily obtained by summing up the specular and diffractive components.
Assuming a top-hat angular power distribution [27], we can obtain the reflectance and
transmittance spectra averaged over incidence angles up to θmax, the half angle of the
incidence cone of light. We can then determine the incidence angle-averaged “actual” and
“specular” absorptance from the total and specular-only reflectance and transmittance,
respectively. The specular spectra predict our measurement results.
Calculation results for the optimized complex unit cell are shown in Fig. 7(a). As
expected, for a normally-incident plane wave (θmax = 0 degree), the actual absorptance spectra
for wavelength above the unit cell length (600 nm, indicated by the dashed line) are exactly
the same as the specular one. As the angular spread of the incidence beam increases
(increasing θmax), the wavelength at which the specular and actual absorptance coincide shifts
upward, as indicated by the blue arrows. We have confirmed that this wavelength is


1
determined by the diffraction threshold condition in air, given by a/λth = 
.
 1  sin i 
Moreover, we observe that the difference between the actual and specular absorptance spectra
above 600 nm is small.
In order to estimate the effect of diffraction on the measured broadband absorption, we
evaluate the F.O.M.s from the actual and specular absorption spectra. The F.O.M.s evaluated
for wavelengths between 600 nm and 1000 nm are shown in Fig. 7(b). We observe that for
the simple periodic unit cell, the specular F.O.M. is equal to the actual one for an angular
#191655 - $15.00 USD
Received 3 Jun 2013; revised 2 Aug 2013; accepted 5 Aug 2013; published 19 Aug 2013
(C) 2013 OSA
9 September 2013 | Vol. 21, No. S5 | DOI:10.1364/OE.21.00A872 | OPTICS EXPRESS A881
spread up to 10 degrees. This is due to the absence of diffraction for the small periodicity (a =
200 nm). For the average and optimized complex unit cells, the specular F.O.M. is equal to
the actual one for a zero angular spread, corresponding to a perfect plane wave. For a nonzero angular spread, corresponding to a focused incidence beam, the specular F.O.M. is
higher than the actual one due to diffraction loss. Nevertheless, even for the optimized
complex unit cell, which has the largest discrepancy between the specular and actual F.O.M.,
the difference in F.O.M. is only 0.42% (absolute value) for an angular spread of 6 degrees.
This difference corresponds to the error in the absorption measurement. However, the error is
far less than the difference in F.O.M. between the three unit cells (simple periodic, average
complex, and optimized complex), and is therefore negligible.
Fig. 7. (a) Angle-averaged actual (black) and specular (red) absorptance spectra for the
optimized complex unit cell geometry, for an incident beam angular spread up to 10 degrees.
The blue arrows indicate the diffraction thresholds wavelengths. Right of the dashed line is our
wavelength range of interest. (b) Angle-averaged F.O.M.s for three different unit cell
geometries, as a function of the incidence beam angular spread.
Acknowledgments
The authors thank Jing Ma for assistance in microfabrication and Ningfeng Huang, Apoorva
Athavale, Bostjan Kaluza, and Milind Tambe for discussions of features of optimal aperiodic
structures. Chenxi Lin was supported by the USC Graduate School’s Theodore & Wen-Hui
Chen Fellowship. Materials, supplies, and partial summer salary support for Michelle
Povinelli were funded by the Center for Energy Nanoscience, an Energy Frontiers Research
Center funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy
Sciences, under Award No. DE-SC0001013. Development of the fabrication process for
silicon nanohole slabs (Luis Javier Martínez) was funded by the Army Research Office under
Award No. 56801-MS-PCS. Computing resources were provided by the USC Center for High
Performance Computing and Communication (HPCC).
#191655 - $15.00 USD
Received 3 Jun 2013; revised 2 Aug 2013; accepted 5 Aug 2013; published 19 Aug 2013
(C) 2013 OSA
9 September 2013 | Vol. 21, No. S5 | DOI:10.1364/OE.21.00A872 | OPTICS EXPRESS A882