Abstract
Vanadium oxide is a key sensing material for bolometric photodetection, thanks to its strong temperature dependence of resistivity close to room temperature. Here we demonstrate the photodetection of a stoichiometric vanadium dioxide thin film integrated with silver nanorods. The nanorods convert light into heat, consequently suppressing the resistivity of vanadium dioxide via localised surface plasmon resonance. Incorporation of this thermo-plasmonic effect into bolometric photodetection allows for wavelength and polarisation sensitivity. This work opens the path to a broad family of photodetection functionalities for vanadium dioxide-based microbolometers.
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Introduction
Bolometric photodetection utilises the dependence of material resistivity on temperature to detect light. Due to its unique properties such as extremely broadband response and high sensitivity, it is chosen for many applications including uncooled infrared imaging and single photon detection1,2,3. At present, vanadium oxide is the most widely used sensing material in microbolometers4. Several unique properties of the material have led to its market dominance, including strong light absorption and an orders-of-magnitude change in resistivity (i.e. a high temperature coefficient of resistance) close to room temperature5.
Among the various phases of vanadium oxide, stoichiometric vanadium dioxide (VO2) is frequently chosen for proof-of-principle demonstrations, as its simple composition allows for high reproducibility of experimental results6,7,8. An emerging research topic of VO2 is its interplay with surface plasmons9,10,11,12,13,14,15. Previous work has found that plasmonic resonances can facilitate the phase change of VO2 and the phase change can in turn modulate plasmonic resonances16. Most of this research has been conducted in the context of tuneable plasmonic devices and reconfigurable metamaterials. In contrast, this work focuses on utilising plasmons to introduce new functionalities (here wavelength and polarisation sensitivity) to bolometric photodetection. As far as we know, this is the first report on the electrical detection of light via plasmonic resonances in VO2. Compared to plasmon-assisted photodetection on other material platforms17, our choice of VO2 lends our work immediate relevance to practical applications. In particular, although VO2-based photodetection lacks several functionalities available in 2D materials (e.g. ultrafast photodetection in graphene18), its mature technology platform is ideal for testing the integration of sensing materials and novel plasmonic nanostructures.
Figure 1(a) schematically illustrates the sample and its measurement configuration. The sample consisted of a thin layer of VO2 prepared by magnetron sputtering on a bulk sapphire (Al2O3) substrate. Two rectangular silver (Ag) electrodes were subsequently grown on the sample surface using thermal evaporation. The high quality of the VO2 film was verified by measuring the dc resistivity between the electrodes in a thermal cycle (Fig. 1(b)). The resistivity changed by over three orders of magnitude between 20 °C and 100 °C, and showed a phase transition temperature, defined as the centre of the resistivity hysteresis loop, of ~68 °C.
A periodic array of Ag nanorods was subsequently patterned between the two electrodes following a standard electron beam lithography and lift-off process. The array was 1.8 mm × 1.8 mm in size and was located at the middle of the two electrodes. The nanorods had a thickness of 40 nm, averaged planar dimensions of 95 nm × 180 nm and a periodicity of 300 nm × 300 nm (Fig. 1(c)). Ag was chosen as the nanorod material for these two reasons. (1) Ag has extremely low resistivity (1.6 × 10−6 Ω·cm at 20 °C) compared to VO2 (measured as 2.3 Ω·cm at 20 °C), making a small change in the VO2 relatively easy to detect. (2) Ag supports strong localised surface plasmon resonance (LSPR) within the entire wavelength range of interest, thus enabling investigation of the thermo-plasmonic effect.
The VO2-nanorod sample obtained after nanofabrication was characterised using two home-built systems. System A consisted of an optical microscope (Olympus BX51) and a fibre-coupled spectrometer (Ocean Optics HR4000) for measuring the transmission. Meanwhile, System B consisted of a Xenon lamp (Hamamatsu Photonics E7536) and a monochromator (Shimadzu SPG-120S) for measuring the dc resistivity under light illumination. In both systems, the nanorods were illuminated at normal incidence, with the light linearly polarised along either their long or short axis. The light was focused to the centre of the array, and the focal spot was slightly smaller than the array. The temperature of the sample was maintained at 66 °C, a value slightly below the phase transition temperature, for transition-edge detection. This temperature control was achieved by using a Peltier module, which was attached to the bottom of the Al2O3 substrate and a temperature sensor, which was placed at the surface of the VO2 film close to the nanorod array.
Figure 2(a) shows the transmission spectrum of the sample measured using System A, where the intensity of incident light was kept at a very low level to minimise any thermal effect. The incident light was polarised along the short axis of the nanorods. A plain area of the same VO2 film was used as reference. The spectrum shows a strong and broad feature at 650 nm corresponding to a ~30% drop in transmission compared to transmission at 900 nm and 400 nm. Figure 2(a) also shows the resistivity measured using System B, where the sample was illuminated by light narrow in spectral width (~ 46 nm in full-width at half-maximum) and high in intensity (~10 mW·cm−2). The central wavelength of the incident light was tuned from 450 nm to 850 nm at a step of 100 nm, with the resistivity between the two electrodes measured at each wavelength. As VO2 has very small thermal conductivity (6 W·m−1·K−1)19, the nanorod array could drift in temperature with time under light illumination. To minimise such influence on the resistivity measurement, the whole wavelength range was swept four times; Fig. 2(a) shows the average and standard error of these four measurements.
The resistivity in Fig. 2(a) is wavelength dependent, and it roughly correlates with the transmission. Both values are smallest at 650 nm and largest at ~450 nm. To interpret this correlation, the electromagnetic behaviour of the sample is numerically simulated using a 3D finite-element solver (COMSOL Multiphysics). The nanorod is treated as a hemi-spherocylinder with dimensions taken from experimental values. The wavelength dependent permittivity of Ag and Al2O3 is taken from refs20,21, respectively. The permittivity of VO2, which depends on both the wavelength and metallic volume fraction (i.e. the filling factor of metallic phase in a dielectric matrix)22, is taken from ref.23. The volume fraction is set as 0.8 for the best fitting to experiment, and its influence on the transmission spectrum is shown in Fig. S2.
Figure 2(b) shows the numerically simulated transmission spectrum, which reproduces the experimental result reasonably well. High-order diffraction in the forward direction is observed for wavelengths below 530 nm. The zero-order spectrum corresponds to the measured spectrum due to the large distance between the sample and detector in the experiment. Compared to experiment, the simulated spectrum shows a redshift of ~50 nm, which is attributed to the difference in nanorod dimensions and material permittivity between the experiment and simulation (see Supplementary Information for details24,25). Figures 2(c,d) show the electromagnetic near-field distribution at respectively 700 nm, the wavelength with the smallest transmission in simulation, and 450 nm, the shortest wavelength for resistivity measurement. At 700 nm, the nanorod shows strong and highly confined enhancement of electromagnetic field. The electric field increases by a factor of ~6.5 compared to the incident light; this level of enhancement is only observed at the two sharp edges of the nanorod. These characteristics indicate that the broad and strong transmission feature is induced by the LSPR of the nanorods. The LSPR is significantly less pronounced at 450 nm as both the enhancement and confinement are much weaker (Fig. 2(d)). Figures 2(b,c) show that transmission amplitude directly reflects LSPR strength, with low transmission corresponding to strong LSPR.
We consequently attribute the correlation between transmission and resistivity in Fig. 2(a) to the thermo-plasmonic effect. Plasmonic nanostructures are well-known for their high efficiency in converting electromagnetic energy to thermal energy. Although considered as a key limiting factor for many applications, this effect has found several applications including reconfigurable metamaterials, heat-assisted magnetic recording, photothermal therapy, plasmon-assisted chemistry and plasmon-enhanced optical trapping26,27,28,29. For our sample, conversion of light to heat is most efficient at the LSPR resonance wavelength (650 nm in experiment and 700 in simulation). The nanorod array is at a slightly higher temperature than the temperature sensor nearby30, and the VO2 beneath the array is slightly suppressed in resistivity. For wavelengths far away from the resonance wavelength, the heating effect induced by the array is smaller, and the suppression in the resistivity is also smaller.
In addition to the wavelength dependence shown in Fig. 2, we further explored the polarisation dependence of the sample. Figure 3 shows corresponding results at the orthogonal light polarisation, i.e. the incident light is polarised along the long axis of the nanorods. The optical transmission shows two pronounced features at ~550 nm and ~850 nm, while the resistivity only traces the feature at ~850 nm (Fig. 3(a)). This difference originates from the different nature of the two spectral features: only the one at ~850 nm is induced by LSPR. This is supported by the near-field distribution in Fig. 3(c,d), where strong LSPR is only visible at 850 nm. The spectral feature at ~550 nm in Fig. 3(a), although not faithfully reproduced in simulation in Fig. 3(b), becomes more pronounced at smaller metallic volume fractions (Fig. S2). It is consequently attributed to the interplay between high-order diffraction and multiple interference inside the VO2 layer, as both phenomena depend on the permittivity of VO2, which in turn depends on the volume fraction. As this feature is not related to any near-field enhancement, no obvious suppression of resistivity is observed at this wavelength.
The difference between Figs 2 and 3 clearly shows the influence of plasmonic resonance on photodetection. The wavelength dependent resistivity in both figures, however, shows a relatively large standard error. Although a detailed discussion is beyond the scope of this proof-of-principle demonstration, we have noticed in ongoing experiments that covering the Ag nanorods with a thin layer of magnesium fluoride may significantly reduce the standard error. The cover layer is expected to protect the nanorods from tarnishing, as well as to stabilise the temperature distribution at the edges of the nanorods by reducing the influence of air convection. Rigorous experimental investigation and theoretical analysis of the optical, thermal and electrical behaviours of the device at the nanoscale will lead to higher device sensitivity.
To conclude, we have demonstrated bolometric photodetection using plasmon-assisted resistivity change in VO2. Ag plasmonic nanostructures grown on top of the VO2 film increase heat generation via the excitation of LSPR and consequently suppress its resistivity. This change in resistivity depends on the strength of the LSPR, which can be tuned by controlling the wavelength and polarisation of incident light. A rough and simple correlation between transmission and resistivity is observed for spectral features induced by LSPR. The nanorod array introduces a certain degree of wavelength and polarisation sensitivity to bolometric photodetection. As plasmonic nanostructures can facilitate advanced control over light, this work can lead to the development of multi-functional, VO2-based plasmonic microbolometers.
Methods
Sample fabrication
The sample consisted of a thin layer of VO2 (250 nm thick) on top of a bulk sapphire (Al2O3, ~1 mm thick) substrate. The VO2 layer was fabricated via reactive magnetron sputtering of vanadium under continuous flow of argon and oxygen gases (temperature = 450 °C, RF power = 200 W, Ar flow rate = 130 sccm, O2 flow rate = 3 sccm, total gas pressure = 0.5 Pa, and total sputtering time ≈ 2 hours). Two rectangular silver (Ag) electrodes were fabricated on the sample surface by thermal evaporation. These electrodes were 100 nm in thickness, 7.5 mm in length, and separated by 2.0 mm in between. A periodic array of Ag nanorods was patterned between the two electrodes following a standard electron beam lithography (JEOL JBX-6300FS) and lift-off process.
Data availability
The data from this paper can be obtained from the University of Southampton ePrints research repository: https://doi.org/10.5258/SOTON/D0615.
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Acknowledgements
The authors are grateful to Dr. Masao Kitano and Dr. Toshihiro Nakanishi for providing VO2 samples, and Dr. Nicolas Green for fruitful discussions. This work was supported by JSPS Grant-in-Aid for Exploratory Research (15K13266), the Royal Society (RG170314), the Daiwa Anglo-Japanese Foundation (Daiwa Foundation Award 5453/12324), and JSPS Core-to-core program . The VO2 film was fabricated with the help of Kyoto University Nano Technology Hub, as part of the Nanotechnology Platform Project sponsored by MEXT in Japan.
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W.K. conceived the idea of this study. H.T. performed the measurements with support from T.T. Y.U. fabricated the VO2 film. J.F. and X.F. conducted the numerical simulations. H.T., X.F. and W.K. wrote the manuscript. All authors contributed to the analysis and interpretation of results. W.K. and X.F. supervised and coordinated all the work.
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Takeya, H., Frame, J., Tanaka, T. et al. Bolometric photodetection using plasmon-assisted resistivity change in vanadium dioxide. Sci Rep 8, 12764 (2018). https://doi.org/10.1038/s41598-018-30944-2
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DOI: https://doi.org/10.1038/s41598-018-30944-2
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