news & views NANoPhotoNIcS Making the most of photons The performance of photodetectors based on quantum dots may be improved by exploiting a process called multiple exciton generation. Arthur J. Nozik t he absorption of photons by a solar cell or photodetector excites electrons to a higher energy level, leaving behind positive charges, called holes, at a lower level. The holes and/or electrons then leave the device to provide power, in the case of a photovoltaic cell, or to be detected, in the case of a photodetector. However, the semiconducting materials used inside these devices can only absorb photons whose energy is equal to or greater than their bandgap energy. When the photon energy is greater than the bandgap, the excess energy is usually lost from the system as heat, which in the case of photovoltaic cells reduces the device efficiency. Such losses can be partially avoided by capturing different colours of light with different materials, each with its own bandgap, but at the expense of added cost and complexity. It is also possible to reduce these losses by creating two or more electron–hole pairs from a single absorbed photon. In quantum dots the electron–hole pairs are bound together and are called excitons, and the multiplication process is called multiple exciton generation or MEG, depicted in Fig. 1 (refs. 1,2). (Some authors label this process carrier multiplication3,4.) Although the detection and characterization of MEG has been the subject of much recent research, it has not yet been shown to improve the efficiency of a photovoltaic device5. Now in Science, Edward Sargent and colleagues at the University of Toronto have reported a different approach to measuring MEG in quantum dots6. Their data lends support to previous spectroscopic measurements, while using a simpler experimental system. Quantum dots have drawn attention because they show MEG at lower photon energies relative to the bandgap than bulk materials. To satisfy energy conservation, MEG requires that the photon energy be at least twice the quantum-dot bandgap Eg. The threshold for electron–hole pair multiplication in bulk semiconductors is even higher, typically 4–6 times the bulk bandgap, as a result of extra conservation rules related to crystal momentum, and high carrier-cooling rates7–9. In quantum dots, on the other hand, the need for momentum conservation is relaxed, and quantum 548 e– e– Eph Eg e– MEG O h+ O h+ Figure 1 | Multiple exciton generation (MEg) in a quantum dot. A photon with energy Eph excites an electron e− to a higher energy level (red arrow), leaving behind a positively-charged hole (h+). This electron and hole form an exciton that then relaxes to a lower energy level, and at the same time a second electron is excited to a higher energy level (green arrows). As a result, a single photon creates two excitons. Eg is the quantum-dot bandgap; horizontal blue lines represent quantum dot energy levels; and black lines represent potential barriers. confinement reduces the cooling rate relative to MEG. This has led to the prediction of increased efficiency and a reduced energy threshold for MEG in quantum dots8,9. A threshold of 2.7–3.0 Eg has been reported for MEG in lead sulphide, selenide and telluride quantum dots based on time-resolved spectroscopy measurements1–4. Sargent and colleagues measure MEG in a photodetector configuration consisting of an array of lead sulphide quantum dots spaced closely enough to produce appreciable interdot electronic coupling, carrier mobility and conductivity. An electric field was applied to break the excitons apart and extract charges to an external circuit. The gain of the device — defined as the number of electrons per second flowing in the external circuit divided by the number of photons per second absorbed by the quantum dots — was found to be constant for incident photon energies less than 2.7 Eg. However, the gain started to grow as the photon energy rose above 2.7 Eg, and increased by a factor of 4.4 ± 0.5 to a value of over 100, at a photon energy of 4.2 Eg. The consistency of the measured threshold value (2.7 Eg) with previous spectroscopic measurements1–4 supports the claim that MEG is occurring. Sargent and colleagues suggest that this enhanced gain results from MEG, followed by the trapping of electrons at the quantum-dot surfaces. The trapping process leaves behind long-lived holes that are able to circulate through the photoconductor and external circuit multiple times before finally recombining with their negative partners. They propose that the electron trapping in their system occurs through a process called Auger-assisted ionization, which creates excited electrons and is known to be efficient in the presence of multiple excitons. The possibility that the electron trapping occurs directly from initial photoexcited excitons, independently of MEG, was discounted by examining the dependence of gain on quantum-dot size10. However, the measured size dependence was not dramatic, and the interpretation could have been strengthened by studying a wider range of dot sizes. Other ambiguities in the interpretation include the absence of information on the role of reflection losses, possible errors in the peak absorbance measurement, the origin of significant gain (about 20) below the MEG threshold, and the lack of data for larger quantum-dot sizes and lower photon energies. The detection of MEG through a photoconductivity measurement is important because, so far, all robust demonstrations of this process in quantum dots have been based on exciton relaxation dynamics measured by ultrafast timeresolved spectroscopy 1–4. Such experiments typically measure the ‘quantum yield’ of the MEG process, which is defined as the number of excitons produced per absorbed photon. Time-resolved spectroscopy has the potential disadvantage of exaggerating the MEG quantum yield in the presence of unrelated phenomena, such as direct nature nanotechnology | VOL 4 | SEPTEMBER 2009 | www.nature.com/naturenanotechnology © 2009 Macmillan Publishers Limited. All rights reserved news & views photoionization and trapping 11. This has contributed to large variations in reported MEG quantum yields, which, together with the lack of a photovoltaic device with a quantum yield greater than unity, has led to some scepticism in the community. By presenting data based on photocurrent gain rather than time-resolved spectroscopy, the work by Sargent and colleagues supports the importance of MEG for optoelectronics. The Toronto team also exploit the process to demonstrate photodetectors with both a high responsivity and fast response time, with potential applications in low-light imaging. Nevertheless, the photoconductivity measurement remains an indirect one because it probes the effect of MEG in the presence of an electric field. This means that interpretation of the data requires an understanding of how the electric field affects the MEG process, and how it causes gain to occur below the MEG threshold. The most compelling demonstration of MEG would come from a photovoltaic cell that does not have an electric field applied to it, and that shows a quantum yield for photocurrent greater than unity. But, by attempting to relate MEG to photocurrent rather than just optical spectroscopy, the photoconductivity measurements discussed here are a step in the right direction. ❐ Arthur J. Nozik is a Senior Research Fellow at the US Department of Energy (DOE) National Renewable Energy Laboratory (NREL), 1671 Cole Boulevard, Golden, Colorado 80401, USA and Professor Adjoint in the Department of Chemistry and Biochemistry at the University of Colorado, Boulder, Colorado 80309, USA. e‑mail: [email protected] References Ellingson, R. J. et al. Nano Lett. 5, 865–871 (2005). Nozik, A. J. Chem. Phys. Lett. 457, 3–11 (2008). Schaller, R. D. & Klimov, V. I. Phys. Rev. Lett. 92, 186601 (2004). Schaller, R. D., Agranovich, V. M. & Klimov, V. I. Nature Phys. 1, 189–194 (2005). 5. Luther, J. M. et al. Nano Lett. 8, 3488–3492 (2008). 6. Sukhovatkin, V., Hinds, S., Brzozowski, L. & Sargent, E. H. Science 324, 1542–1544 (2009). 7. Werner, J. H., Kolodinski, S., Queisser, H. J. Phys. Rev. Lett. 72, 3851–3854 (1994). 8. Nozik, A. J. Ann. Rev. Phys. Chem. 52, 193–231 (2001). 9. Nozik, A. J. Physica E 14, 115–120 (2002). 10. Poles, E., Selmarten, D. C., Mićić, O. I. & Nozik, A. J. Appl. Phys. Lett. 75, 971–973 (1999). 11. McGuire, J. A., Joo, J., Pietryga, J. M., Schaller, R. D. & Klimov, V. I. Acc. Chem. Res. 41, 1810–1819 (2008). 1. 2. 3. 4. gRAPheNe Surfing ripples towards new devices The electronic properties of graphene can be changed by exploiting its unusual thermal properties to introduce periodic ripples with given wavelengths and amplitudes. Rodolfo Miranda and Amadeo l. Vázquez de Parga h opes for a new generation of strainbased electronic devices made from graphene will rest on our ability to control the electromechanical properties of these two-dimensional sheets of carbon atoms. These hopes have now moved a step closer to reality following demonstrations on page 562 of this issue by Chun Ning Lau and colleagues at the University of California at Riverside that periodic ripples can be introduced in a controlled way to suspended samples of few-layer graphene1. This new approach takes advantage of the thermal strains produced by the negative thermal expansion coefficient of graphene. Ripples are difficult to avoid in twodimensional materials and have been seen in graphene before. The first ripples to be observed were randomly distributed across the surface2, but periodic ripples were subsequently created by depositing single-layer graphene on single-crystal metal surfaces3,4. The ripples resulted from the surface and the graphene having different lattice parameters. For example, when graphene was deposited on iridium or ruthenium surfaces, ripples with a wavelength of 2.4–3.0 nm and an amplitude of 0.02–0.05 nm were observed. These ripples have also been shown to be associated with periodic variations in the electronic properties of the graphene1,3. Figure 1 | Artistic impression of periodic ripples in single-layer graphene. The ripples lead to a small distortion of the carbon–carbon bonds, which leads to changes in the amplitude of the electron hopping between atoms and to the simultaneous appearance of inhomogeneities in the electronic structure. The whiter atoms indicate that the density of occupied electronic states at the Fermi level is higher at the peaks of the ripples. In general, ripples in graphene (Fig. 1) are expected to strongly influence its electronic properties by introducing spatially varying potentials5 or effective magnetic fields (also known as gauge fields)6. And if the ripples are periodic, one can, in principle, open up a bandgap between the valence and conduction bands occupied by the electrons. Graphene nature nanotechnology | VOL 4 | SEPTEMBER 2009 | www.nature.com/naturenanotechnology © 2009 Macmillan Publishers Limited. All rights reserved does not have an intrinsic bandgap, which is why it is known as a zero-gap semiconductor or a semi-metal. Moreover, one could arrange for the bandgap and the energy of the Fermi surface (which separates occupied and unoccupied electron energy levels at absolute zero temperature) to coincide by doping or applying a suitable bias voltage. Having a gap at the Fermi level is vital for applications in digital electronics because it is essential that transistors should not permit any current to flow in the ‘off ’ state – this cannot be achieved with zero-gap semiconductors. Lau and co-workers place their graphene samples across pre-defined trenches on a silicon/silicon dioxide substrate and observe the ripples with a scanning electron microscope and an atomic force microscope. The crests of the ripples are usually perpendicular to the edges of the trench, with amplitudes between 0.7 and 30 nm, and wavelengths in the range 370–5,000 nm. The ripples disappear when the samples are annealed or heated to 700 K, but new ripples with larger amplitudes and longer wavelengths appear when the graphene is cooled again, although the graphene sometime buckles on cooling instead. The Riverside team explains this behaviour in terms of the unusual thermal properties of graphene. Unlike most materials, apart from water in a small range of temperatures, 549
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