Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Channels of oxygen diffusion in single crystal rubrene revealed

Robert J. Thompson *ab, Thomas Bennett c, Sarah Fearn c, Muhammad Kamaludin a, Christian Kloc d, David S. McPhail e, Oleg Mitrofanov b and Neil J. Curson ab
aLondon Centre for Nanotechnology, 17-19 Gordon Street, London, WC1H 0AH, UK
bDepartment Electronic & Electrical Engineering, UCL, Roberts Building, London, WC1E 7JE, UK. E-mail: robert.j.thompson@ucl.ac.uk
cDepartment Materials, Imperial College London, Royal School of Mines, Exhibition Road, London, SW7 2AZ, UK
dSchool of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore
eDepartment of Chemistry and Biochemistry, University of Texas at Dallas, 800 W. Campbell Rd, TX 75080-3021, USA

Received 2nd August 2016 , Accepted 10th November 2016

First published on 10th November 2016


Abstract

Electronic devices made from organic materials have the potential to support a more ecologically friendly and affordable future. However, the ability to fabricate devices with well-defined and reproducible electrical and optical properties is hindered by the sensitivity to the presence of chemical impurities. Oxygen in particular is an impurity that can trap electrons and modify conductive properties of some organic materials. Until now the 3-dimensional profiling of oxygen species in organic semiconductors has been elusive and the effect of oxygen remains disputed. In this study we map out high-spatial resolution 3-dimensional distributions of oxygen inclusions near the surface of single crystal rubrene, using Time of Flight Secondary Ion Mass Spectroscopy (ToF-SIMS). Channels of diffused oxygen are found extending from uniform oxygen inclusion layers at the surface. These channels extend to depths in excess of 1.8 μm and act as an entry point for oxygen to diffuse along the ab-plane of the crystal with at least some of the diffused oxygen molecularly binding to rubrene. Our investigation of surfaces at different stages of evolution reveals the extent of oxygen inclusion, which affects rubrene's optical and transport properties, and is consequently of importance for the reliability and longevity of devices.


Introduction

Organic semiconductors are of interest due to many advantageous properties: an ability to be chemically tuned allowing tailoring of material properties;1,2 broad active optical spectra making them ideal as dyes and active layers in opto-electronic devices;2,3 the ability to be integrated within biological systems as bioelectronics;4 and a compatibility with flexible substrates allowing development of cost efficient manufacturing methods alongside novel device architecture.4–6 They also offer the potential for more sustainable electronic technologies allowing biodegradable or recyclable devices.7 However in spite of their potential impact and impressive recent developments in organic device science,8,9 widespread commercial use is still limited by longevity and variation in device performance. When asking what limits the performance of organic devices, it is important to consider how the introduction of defects or chemical impurities affect charge transport and optical properties during a device's operational lifetime. Oxygen is a particularly important defect as it can be incorporated during both material growth, sample preparation and via interaction with the ambient environment during a device's operational lifetime. In this study we investigate oxygen in a single crystal organic semiconductor, rubrene, which exhibits excellent optical and electronic properties, but in which oxygen incorporation is ill-understood and debated within the literature.10–19

In this paper we map out 3-dimensional distributions of oxygen inclusions near the surface of rubrene in order to determine the uniformity of oxide distribution and how this should inform the design of electronic devices and analysis of surface measurements. Oxide mapping is undertaken using high-spatial resolution Time of Flight Secondary Ion Mass Spectroscopy (ToF-SIMS), for the first time.

Our most important and surprising result is the observation of oxygen diffusion channels, extending from the surface into the material, to depths in excess of 1.8 μm (>1200 molecular layers). These channels extend from a uniform oxygen inclusion at rubrene's surface. The most startling implication of this result is that one cannot treat the material as a laterally uniform substrate for device fabrication, over the length-scale of current prototype testbed devices. Also highly significant is that we find that the channels act as an entry point for oxygen to diffuse along the ab-plane of the crystal, with at least some of the diffused oxygen molecularly bound to rubrene as opposed to ionic or molecular oxygen sitting interstitially between molecules. The implication here is that the initial density of channels could affect the rate at which the material degrades over time due to incorporation of oxygen from the ambient. We pursue this issue further by describing the rubrene surface at different stages of evolution, shedding light on how the oxygen inclusions vary with time.

In-order to investigate chemical impurities induced by the environment a tool is required that can directly probe the spatial chemical composition of a material. ToF-SIMS is a unique tool that offers sub-micron lateral resolution and an ability to produce 3-dimensional chemical mapping. Facilitated by the advent of large cluster ion sources the technique is now able to analyze materials consisting of larger organic molecules.20

The ideal materials to investigate the variation of properties due to environmental exposure are single crystal organic semiconductors. These have proved an excellent model test bed in studying the intrinsic properties of small molecule organic semiconductors. In particular, rubrene has been a source of much investigation and in single crystal form grown via physical vapour transport (PVT)21 it provides a high purity test subject for the incorporation of defects. Single crystal rubrene displays record-high electronic and opto-electronic properties for bulk organic semiconductors with charge carrier mobility reproducibly reaching up to 20 cm2 V−1 s−1 (ref. 22–24) alongside long exciton lifetimes and extraordinarily large exciton diffusion lengths.25–27 The issue of environmental effects on rubrene is a prevalent one with oxygen incorporation and its effects poorly understood and still a source of debate within the literature. Mitrofanov et al. associated a peak in the photo luminescence spectrum ∼0.25 eV below the exciton peak with an oxygen-induced electronic state.10 They subsequently found that this peak is pronounced strongly in crystals with larger defect densities.11 These studies agreed with Krellner et al. who observed a hole trap state 0.27 eV into the band gap after exposure to oxygen.12 In contrast, Chen et al. associated this photoluminescence peak as due to pockets of amorphous rubrene,13 and Song et al. estimated the HOMO of oxidised rubrene at lower energy, ∼1 eV, below that of pristine rubrene.14 In other studies Zhang et al. and Maliakal et al. concluded that the high reported mobility in rubrene is due to a raised number of holes induced by oxygen incorporation.22,28 Najafov et al. though conversely found that the oxygen incorporation reduces both dark- and photo-conductivity of rubrene.15 Furthermore, the mechanism of oxygen incorporation in rubrene crystals remains unclear. Previous studies treat the incorporation of oxygen as a spatially uniform process accelerated by the presence of crystallographic defects11,16,17 and light.15,18 Recent ToF-SIMS studies by our group, however, showed that oxygen incorporation at the surface of rubrene can form two types of oxides:16 one preferentially incorporating at the site of structural defects while the other formed a uniform surface layer. More recently Mastrogiovanni et al. reported the depth of penetration of oxygen, which was found to exceed 100 nm in 24 hours under illumination.18

Experimental methods

Single crystal rubrene was grown by the vapour transport method ensuring a high purity of sample.21 A typical crystal can be seen in previous reports from our group along with a diagrammatic representation of the crystalline packing.16,17 The topography of all crystals was consistent with previous studies.17 Topographical images show atomically flat surfaces with no indication of sites that imply the presence of channels. This study looks at the ab-plane surface. Crystals were mounted on an aluminium substrate using carbon paint. Before mounting, the aluminium oxide was removed from the substrate using abrasive paper ensuring good conduction between sample and substrate, reducing the build-up of charge due to ion bombardment in ToF-SIMS analysis.

In order to study oxygen content deep within the bulk the crystal was cleaved along the ab-plane. The cleaving technique, detailed in previous publications from our group17,29 produces a new pristine surface from within the bulk. In the current study the cleave produced new surfaces at a depth of 90 μm below the surface as measured using a coherent scanning interferometer.

ToF-SIMS analyses were carried out using an IONTOF SIMS V instrument equipped with a Bi Liquid Metal Ion Gun rastered to produce 2D maps and an Ar cluster ion gun used to sputter molecular layers, producing depth resolution. Surface analyses were carried out using a 25 keV Bi3+ primary ion beam with a current of 0.2 pA. Depth profiles of the rubrene were obtained by sputtering the material with a 5 keV Ar+1000 cluster ion beam, with a beam current of 3 nA, and analysing the sputtered surface using the Bi3+ primary ion beam. The sputter area to analytical area ratio was adjusted such that each Ar+n sputter cycle removed any damage caused by the analytical primary ion beam.

Channel diameters reported in Fig. 3 were measured by the following method. Each row of pixels that intersected a specific channel was summed together producing a single line scan in x. The line scan displayed a peak at the location of the channel that was fitted as a Gaussian; the width in the x-axis was defined as the full width half maximum of this fitted Gaussian. This process was repeated in the y-axis. The average width of the channel was defined as the mean of the FWHM of the Gaussian fitted in the x-axis and y-axis.

Results and discussion

3-Dimensional plots of the spatial distribution of O ions and OH ions within a 3 month old sample are shown in Fig. 1. This surface was not specially prepared post growth and is termed ‘as grown’. The ToF-SIMS provided mass spectral depth profiling, in this case up to a depth of 0.8 μm. The plots in Fig. 1 track the peaks in the mass spectra that represent the mass per charge (m/z) of the ions O and OH. Fig. 1 clearly shows there is a greater density of O and OH ions at the surface creating a uniform surface layer. At the interface between this layer and the bulk of the material, the distribution of oxygen becomes concentrated in channels penetrating into the crystal from the surface. We observed such channels in all (five) ‘as grown’ samples investigated to date, with the minimum density observed to date being 2 channels in a 200 × 200 μm2 analysis area (50 cm−2) and extend to depths of at least 1.8 μm, (further examples of depth profile can be seen in ESI, Fig. S1). The channels whose origin is discussed below are not due to any artefact caused by a slower sputter rate as determined by the lack of topographical features seen in AFM images before and after ion beam analysis.
image file: c6cp05369f-f1.tif
Fig. 1 3D rendered plots showing the spatial distribution of O and OH ions in figures (a) and (b) respectively. Transparent blank pixels indicate none of the respective ionic species were present at that location. A uniform surface coverage of O and OH can be seen along with oxygen channels showing a preferential diffusion of oxygen along these channels into the crystal. The x, y plots of this data integrated over the z axis can be seen in Fig. 2(a) and (b).

In order to determine the nature of the channels Fig. 2 compares the distribution of several molecular species. Molecular species tracked were chosen by identifying peak variations in the mass spectra originating from the location of channels and away from channels (full mass spectra can be seen in ESI, Fig. S2). Fig. 2(a)–(f) present the distribution of secondary ions compressed to xy-plots with each column of pixels in the z direction integrated into a single pixel. Fig. 2(a) and (b) show the distribution of O and OH as taken from Fig. 1, while (c)–(f) track the distribution of C42H28, C42H28O, C42H28O2 and C2H respectively. C2H is a molecule not expected to be found intrinsically within rubrene, consequently its high count is indicative of fragmentation occurring when large ‘parent’ molecules are liberated from the surface. C42H28 is the intact rubrene molecule and would be expected to show a uniform covering in an intrinsic material containing no defects. C42H28O and C42H28O2 correspond to rubrene oxide and rubrene peroxide respectively. Previous studies have shown that these oxide species of rubrene bind to different sites on the surface with rubrene peroxide preferentially being found at the sites of defects and rubrene oxide forming a more uniform covering of the surface.16 As can be seen in Fig. 2 there is a clear correlation between each of the ionic species tracked and the locations of the channels. Several of the channels can be identified even in the low count rubrene peroxide map. Arrows highlighting three of the largest channels are shown in each image. In general there is a reduction in count for the larger molecules at the location of the channels and an increase in count of the smaller mass species. The increased smaller molecular count implies that at the location of the channels there is a raised probability of the molecule fragmenting when liberated from the surface. A change in the fragmentation probability such as this implies a variation in the relative bond strengths. This variation can be introduced by a structural defect causing a variation in intramolecular bonding, or a molecular variation, such as oxidation, that will cause both inter- and intra-molecular variation. A physical defect such as a threading dislocation will induce structural deformation of the lattice allowing molecular conformations that are known to facilitate oxidation of rubrene. We therefore believe the appearance of the channels is due to oxygen diffusion into the material via structural defects within the rubrene. Supporting the assertion of these channels being formed of diffused oxygen is the observation of diffusion profiles in the 3D ion images of shallower penetration channels identified in preliminary studies and shown in ESI, Fig. S1. Observations of channels extending into the crystal are consistent with oxygen incorporation facilitated by a threading dislocation. Such dislocations are often introduced within the crystal lattice during growth in order to relieve strain.30


image file: c6cp05369f-f2.tif
Fig. 2 3D x, y plots of the distribution of secondary ions normalised by the total ion count of each respective pixel. Ions O, OH, C42H28, C42H28O, and C42H28O2, C2H have been plotted in figures (a), (b), (c), (d), (e) and (f) respectively. All plots use the same colour scale except (f) which due to a larger ion count uses the adjacent colour scale. In each plot data has been acquired in three dimensions with every column of pixels in z being integrated to create a 2D plot. The xy plane of these plots lies in the ab-plane of the crystal. Figures (a) and (b) are plots of the same data shown in Fig. 1(a) and (b), orientation legends are included for ease of comparison. Arrows are repeated in each image showing the location of three of the largest channels.

In order to test the hypothesis that defects act as the entry point for oxygen inclusion, a sample that had been exposed to ambient laboratory conditions for a prolonged period was analysed. This sample was grown and prepared in the same conditions as the crystal presented in Fig. 1 and 2 with the exception that this 3 year-old sample had been intentionally exposed to light in ambient laboratory conditions over the course of 12 months before analysis. Channels in the aged sample were seen to have an increased diameter. Fig. 3 shows a comparison of the two samples with Fig. 3(a) showing a histogram of channel width in the two samples. The data set used within the histogram was acquired from two 200 × 200 μm2 areas of the 3 month-old crystal providing 40 analysed channels, and three 200 × 200 μm2 areas of the aged sample providing 16 analysed channels. Each data set was normalised by the total count for the respective sample. Fig. 3(b) and (c) show the xy, z-integrated, plot tracking O ions for a 200 × 200 μm2 area of each crystal, in each case all the channels identified are highlighted. The increased diameter of the oxygen channels seen in the 3 year-old sample implies that the structural defects do not only allow oxygen to penetrate along the defect but also acts as an entry point for the oxygen to diffuse from the defect along the ab-plane of the crystal. In this sample the channel density was lower than that of the 3 month-old sample. We believe this is due to sample variation of the grown crystals and not related to any aging or degradation effect.


image file: c6cp05369f-f3.tif
Fig. 3 (a) Histogram showing the distribution of channel widths in a 3 month unintentionally oxidized sample and a 3 year old sample exposed to light and ambient conditions. (b and c) Show typical xy ion maps tracking the O ions for the 3 month and 3 year-old samples respectively. All channel have been highlighted. The method of measuring channels widths is described within the experimental details.

Having analysed the incorporation of oxygen at the surface and sub-surface, knowledge of oxygen incorporation in the deep bulk was sought. The three month-old sample was cleaved along the ab-plane in ambient laboratory conditions (see Experimental section) to produce a new ab-plane surface 90 μm below the original surface. The sample was then immediately placed in the vacuum load-lock of the ToF-SIMS instrument. Less than 20 seconds elapsed between cleaving and evacuating. The analysed cleaved surface, at a depth of 90 μm, showed no observable indication of channels, instead exhibiting a homogeneous chemical distribution with a much reduced oxygen count, 2D ion maps of the cleaved samples can be seen in the ESI, Fig. S3. The lack of observable channels immediately after cleaving along with low oxygen content shows the high quality of the crystals with an extremely low impurity content. It also allows us to conclude that the depth of oxygen diffusion into this sample was less than 90 μm.

While we have determined that there are no oxygen channels in the cleaved rubrene sample, 90 μm below the surface, the question of whether the structural defects with which they are associated are also absent was investigated by leaving the sample in ambient laboratory conditions for 30 days. The cleaved surface was then re-analysed at a location not previously exposed to the ion beam. Although the sample showed an increased oxygen count at the cleaved surface in the form of a uniform layer, there were still no observable signs of channel development as evident in Fig. S3 (ESI). With oxygen having diffused into the surface it would be expected that any dislocations existing in the crystal at the depth of the cleaved surface would begin to be decorated by oxygen, allowing them to be observed. The lack of any observable channels implies that dislocations did not exist at this depth within the crystal. This could imply that the channels are a result of strain experienced later in the growth of the crystals that is not present in earlier stages when deeper parts of the crystal are deposited.

To study the concentration of different species at each of the four surfaces previously discussed, each surface was analysed by ToF-SIMS without the use of the heavy ion sputter beam. By ensuring that in this situation the analysis beam did not exceed the static limit (within the static limit the number of primary ions is low enough that statistically no material is removed and only the sample surface is analysed), mass spectra were only acquired from the top molecular layers. Fig. 4(a) displays this surface sensitive mass spectra, where the bar chart shows the normalised secondary ion count of the labelled ions liberated from each respective surface. In each case the count is normalised to the total secondary ion count of the respective analysis and is averaged over a 200 × 200 μm2 area.


image file: c6cp05369f-f4.tif
Fig. 4 (a) Bar chart showing the abundance of labelled secondary ions liberated from each of the labelled sample surfaces. For clarity the y-axis is broken with a change in scale allowing comparison of both low and high abundance molecular components. It should be noted that no Ar cluster sputtering was used in these surface measurements and therefore the relative abundance of molecular components is only representative of the top molecular layers. Figures (b) and (c) show the local variation of CH2O2 abundance in the 3 year old ‘as grown’ sample. Ar cluster ions were used to allow depth profiling. Figure (b) is a 3D rendered plot and (c) a xy plot with integration in z.

Looking firstly at the O content in each surface it can be seen that the three month old ‘as grown’ surface has a relatively low content which is reduced even further by a factor of 10 when the sample was cleaved revealing the bulk molecular makeup. It is indicative of the high quality of the sample that a low level of oxygen was incorporated at the surface and within the bulk there is only a trace presence of oxygen. Upon exposing this cleaved surface to the environment the oxygen content increased dramatically by three orders of magnitude from an average normalised count of 1.2 × 10−5 immediately after cleaving to 1.8 × 10−2 30 days later. This agrees with previous work from our group that showed that cleaving of the sample produced a more reactive surface.17 The aged ‘as grown’ surface shows an even greater oxygen count of 0.10, this sample had been exposed to ambient condition and light. As expected this sample shows the highest level of oxygen content which is in agreement with work by Najafov et al. and Mastrogiovanni et al.15,18 The CH2O2 peak follows the same trend as the oxygen ion. As with the C2H ion this molecule is not expected to exist within the sample and is therefore attributed to fragmentation of a larger ‘parent molecule’ the most likely candidate being rubrene peroxide. Due to the low CH2O2 count in the three month-old sample the molecule was not initially identified as obviously having any spatial correlation with channels. Fig. 4(b) and (c) plot the location of CH2O2 ions within the three year old aged sample, (b) is a 3D rendered plot and (c) an xy, z-integrated plot. Fig. 4(b) and (c) clearly show that this molecular species is localised at the position of channels. With the increase of oxygen counts (O) there is seen to be an associated decrease in rubrene counts, with no associated increase in the counts of rubrene oxide molecules. This unusual decrease in counts of total rubrene related molecules is attributed to a change in the sputtering efficiency and ability for intact molecules to be successfully liberated from the surface. If oxygen is incorporated via chemical bonding there will be a perturbation to the molecular packing and this matrix effect will influence the sputtering nature. It is therefore proposed that in the 30 days post cleave and as grown 3 year old sample oxygen had molecular bonded within the material creating a matrix effect that has reduced the efficiency of intact parent molecules (rubrene and rubrene oxide) being liberated. This picture is supported by the increase in CH2O2 showing that the oxygen has chemically bonded to hydrocarbons, (likely rubrene) rather than simply an incorporation of atomic or molecular oxygen residing within the defect.

Conclusion

In this work we have uncovered preferential channels of oxygen diffusion into single crystal rubrene, in the form of channels of oxygen extending from the surface into the crystal. These channels are likely to exist because of the presence of structural defects formed during crystal growth. ToF-SIMS spectra imply that some or all of the constituents of the channels are an oxide of rubrene as opposed to ionic or molecular oxygen. Analysis of crystals exposed to ambient conditions shows that as well as allowing channels for oxygen to penetrate into the crystal, these channels act as an entry point for oxygen to diffuse along the ab-plane of the crystal. This diffusion along the ab-plane has the effect of increasing the diameter of these oxygen channels beyond the initial point like structural defect. By cleaving the crystal to expose new surfaces 90 μm below the ‘as grown’ surface it was found that structural defects creating the oxygen channels do not exist deep into the crystal and therefore are likely to be incorporated during the later stages of growth. Finally we provide a comparison of the surface inclusion of oxygen for four different rubrene surfaces with different histories. The properties of these surfaces vary considerably, implying that a systematic sample preparation process is required for attaining reproducible surface properties. One appealing solution is sample cleaving, as it produces clean, flat surfaces with wide terraces and low oxygen content in the region below the surface. However, the fact that cleaved surfaces have enhanced reactivity would need to be understood. In electronic devices where the active components are at the surface of the material, such surface preparation protocols will be a prerequisite for the fabrication of reliable devices.

Acknowledgements

Dr R. Thompson is funded by an EPSRC doctoral prize fellowship.

References

  1. A. Patra, M. Bendikov and S. Chand, Acc. Chem. Res., 2014, 47, 1465–1474 CrossRef CAS PubMed.
  2. W. Zhu, Y. Wu, S. Wang, W. Li, X. Li, J. Chen, Z. Wang and H. Tian, Adv. Funct. Mater., 2011, 21, 756–763 CrossRef CAS.
  3. L. Dou, J. You, Z. Hong, Z. Xu, G. Li, R. A. Street and Y. Yang, Adv. Mater., 2013, 25, 6642–6671 CrossRef CAS PubMed.
  4. C. Liao, M. Zhang, M. Y. Yao, T. Hua, L. Li and F. Yan, Adv. Mater., 2014, 7493–7527 Search PubMed.
  5. D. Tobjörk and R. Österbacka, Adv. Mater., 2011, 23, 1935–1961 CrossRef PubMed.
  6. G. Pace, A. Grimoldi, D. Natali, M. Sampietro, J. E. Coughlin, G. C. Bazan and M. Caironi, Adv. Mater., 2014, 26, 6773–6777 CrossRef CAS PubMed.
  7. L. A. Pray, Organic Electronics for a Better Tomorrow: Innovation, Accessibility, Sustainability, 4th Chemical Science and Society summit, San Francisco, 2012 Search PubMed.
  8. C. Cui, X. Guo, J. Min, B. Guo, X. Cheng, M. Zhang, C. J. Brabec and Y. Li, Adv. Mater., 2015, 7469–7475 CrossRef CAS PubMed.
  9. D. N. Congreve, J. Lee, N. J. Thompson, E. Hontz, S. R. Yost, P. D. Reusswig, M. E. Bahlke, S. Reineke, T. Van Voorhis and M. A. Baldo, Science, 2013, 340, 334–337 CrossRef CAS PubMed.
  10. O. Mitrofanov, D. V. Lang, C. Kloc, J. M. Wikberg, T. Siegrist, W.-Y. So, M. A. Sergent and A. P. Ramirez, Phys. Rev. Lett., 2006, 97, 166601 CrossRef PubMed.
  11. O. Mitrofanov, C. Kloc, T. Siegrist, D. V. Lang, W.-Y. So and A. P. Ramirez, Appl. Phys. Lett., 2007, 91, 212106 CrossRef.
  12. C. Krellner, S. Haas, C. Goldmann, K. P. Pernstich, D. J. Gundlach and B. Batlogg, Phys. Rev. B: Condens. Matter Mater. Phys., 2007, 75, 245115 CrossRef.
  13. Y. Chen, B. Lee, D. Fu and V. Podzorov, Adv. Mater., 2011, 23, 5370–5375 CrossRef CAS PubMed.
  14. X. Song, L. Wang, Q. Fan, Y. Wu, H. Wang, C. Liu, N. Liu, J. Zhu, D. Qi, X. Gao and A. T. S. Wee, Appl. Phys. Lett., 2010, 97, 032106 CrossRef.
  15. H. Najafov, D. Mastrogiovanni, E. Garfunkel, L. C. Feldman and V. Podzorov, Adv. Mater., 2011, 23, 981–985 CrossRef CAS PubMed.
  16. R. J. Thompson, S. Fearn, K. J. Tan, H. G. Cramer, C. L. Kloc, N. J. Curson and O. Mitrofanov, Phys. Chem. Chem. Phys., 2013, 15, 5202–5207 RSC.
  17. R. J. Thompson, B. Yadin, Z. J. Grout, S. Hudziak, C. L. Kloc, O. Mitrofanov and N. J. Curson, Appl. Phys. Lett., 2011, 98, 053302 CrossRef.
  18. D. D. T. Mastrogiovanni, J. Mayer, A. S. Wan, A. Vishnyakov, A. V. Neimark, V. Podzorov, L. C. Feldman and E. Garfunkel, Sci. Rep., 2014, 4, 4753 CAS.
  19. D. Käfer and G. Witte, Phys. Chem. Chem. Phys., 2005, 7, 2850–2853 RSC.
  20. A. G. Shard, R. Havelund, S. J. Spencer, I. S. Gilmore, M. R. Alexander, T. B. Angerer, S. Aoyagi, J.-P. Barnes, A. Benayad, A. Bernasik, G. Ceccone, J. D. P. Counsell, C. Deeks, J. S. Fletcher, D. J. Graham, C. Heuser, T. G. Lee, C. Marie, M. M. Marzec, G. Mishra, D. Rading, O. Renault, D. J. Scurr, H. K. Shon, V. Spampinato, H. Tian, F. Wang, N. Winograd, K. Wu, A. Wucher, Y. Zhou and Z. Zhu, J. Phys. Chem. B, 2015, 119, 10784–10797 CrossRef CAS PubMed.
  21. R. Laudise, C. Kloc, P. Simpkins and T. Siegrist, J. Cryst. Growth, 1998, 187, 449–454 CrossRef CAS.
  22. K. K. Zhang, K. Tan, C. Zou, M. Wikberg, L. E. McNeil, S. G. Mhaisalkar and C. Kloc, Org. Electron., 2010, 11, 1928–1934 CrossRef CAS.
  23. J. Takeya, M. Yamagishi, Y. Tominari, R. Hirahara, Y. Nakazawa, T. Nishikawa, T. Kawase, T. Shimoda and S. Ogawa, Appl. Phys. Lett., 2007, 90, 102120 CrossRef.
  24. V. Podzorov, E. Menard, A. Borissov, V. Kiryukhin, J. A. Rogers and M. E. Gershenson, Phys. Rev. Lett., 2004, 93, 086602 CrossRef CAS PubMed.
  25. H. Najafov, B. Lee, Q. Zhou, L. C. Feldman and V. Podzorov, Nat. Mater., 2010, 9, 938–943 CrossRef CAS PubMed.
  26. P. Irkhin and I. Biaggio, Phys. Rev. Lett., 2011, 107, 017402 CrossRef PubMed.
  27. A. Ryasnyanskiy and I. Biaggio, Phys. Rev. B: Condens. Matter Mater. Phys., 2011, 84, 193203 CrossRef.
  28. A. J. Maliakal, J. Y.-C. Chen, W.-Y. So, S. Jockusch, B. Kim, M. F. Ottaviani, A. Modelli, N. J. Turro, C. Nuckolls and A. P. Ramirez, Chem. Mater., 2009, 21, 5519–5526 CrossRef CAS.
  29. R. J. Thompson, B. Yadin, Z. J. Grout, S. Hudziak, C. L. Kloc, N. J. Curson and O. Mitrofanov, SPIE Photonic Devices + Applications, International Society for Optics and Photonics, 2011, pp. 811712 Search PubMed.
  30. B. D. Chapman, A. Checco, R. Pindak, T. Siegrist and C. Kloc, J. Cryst. Growth, 2006, 290, 479–484 CrossRef CAS.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c6cp05369f

This journal is © the Owner Societies 2016