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

A study on a broadband photodetector based on hybrid 2D copper oxide/reduced graphene oxide

Duc Anh Ngo ac, Nhat Minh Nguyen ac, Cong Khanh Tran ac, Thi Thanh Van Tran ac, Nhu Hoa Thi Tran abc, Thi Thu Thao Bui ac, Le Thai Duy ac and Vinh Quang Dang *abc
aFaculty of Materials Science and Technology, University of Science, 227 Nguyen Van Cu Street, District 5, Ho Chi Minh City 700000, Vietnam. E-mail: vinhquangntmk@gmail.com
bCenter for Innovative Materials and Architectures (INOMAR), Ho Chi Minh City 700000, Vietnam
cVietnam National University (VNU-HCM), Ho Chi Minh City 700000, Vietnam

Received 20th September 2023 , Accepted 24th January 2024

First published on 25th January 2024


Abstract

These days, photodetectors are a crucial part of optoelectronic devices, ranging from environmental monitoring to international communication systems. Therefore, fabricating these devices at a low cost but obtaining high sensitivity in a wide range of wavelengths is of great interest. This report introduces a simple solution-processed hybrid 2D structure of CuO and rGO for broadband photodetector applications. Particularly, 2D CuO acts as the active material, absorbing light to generate electron–hole pairs, while 2D rGO plays the role of a transport layer, driving charge carriers between two electrodes. Our device exhibits remarkable sensitivity to a wide wavelength range from 395 nm to 945 nm (vis-NIR region). Interestingly, our devices' responsivity and photoconductive gain were calculated (under 395 nm wavelength excitation) to be up to 8 mA W−1 and 28 fold, respectively, which are comparable values with previous publications. Our hybrid 2D structure between rGO and CuO enables a potential approach for developing low-cost but high-performance optoelectronic devices, especially photodetectors, in the future.


1. Introduction

Nowadays, manufacturers have to deal with a massive quantity of information simultaneously with a highly accurate level to keep pace with the tremendously high development rate of the industrial revolution. This demand has led to the invention of robots – a valuable assistant for humans in almost every aspect of development.1 At first, robots were created with the purpose of supporting people in assembly lines; however, they can perform much more complicated tasks such as manufacturing, entertainment, delivery processing, and so on.2–4 Regardless of the various shapes and sizes according to the practical requirements, robots are fabricated with two main components: mechanical details and programmed software.5 Information after being collected by robots through these parts is handled and transferred to directors.6

To fully detect changes in the environment, an indispensable part of robots is sensors, especially optical sensors or photodetectors.7 When a robot is exposed to light, these devices receive photon excitation and transform it into electrical signals, which are subsequently delivered to a processor.8 Based on the light operating region, optical sensors are classified into ultraviolet (UV), visible (Vis), infrared (IR), and broadband photodetectors.9–12 These days, one of the requirements of photodetectors used in robots is that they are sensitive to a wide range of wavelengths (i.e., broadband) so that any changes in the surrounding environment can be fully detected. For this reason, scientists are carrying out numerous studies to optimize appropriate materials for broadband photodetectors with a simple and low-cost manufacture process to meet the demands of industrial sectors.13,14

2D materials are now attracting scientists due to their outstanding properties, such as a large surface area, which enables them to be remarkably sensitive to photon signals, tunable bandgap, and easy synthesis at low cost.15–17 In 2019, a black phosphorus (BP)-based photodetector fabricated by a group of Li Huang exhibited a high responsivity with a value of 23 A W−1 under 368 nm illumination.18 Moreover, while devices based on hexagonal boron nitride (h-BN) can detect deep UV light at 210 nm with an extremely low excitation power density,19 one fabricated from molybdenum disulfite (MoS2) provided sensitivity to a large band from 445 to 2717 nm with the maximum values of R = 50.7 mA W−1 and D = 1.55 × 109 Jones.20 Recently, reduced graphene oxide (rGO) – a derivative of graphene – has arisen as a potential candidate for optoelectronic and photonic applications due to its unique advantages. In more detail, in the basic form, graphene possesses a 2D honeycomb structure with noticeable electrical conductivity and ultrahigh mobility which originates from the interaction between electrons and carbon atoms in the crystal lattice.21 More interestingly, along with its high flexibility and stability, graphene possesses excellent features such as low cost and producible through simple fabrication processes for the industrial scale.22,23 However, rGO-based photodetectors still face severe drawbacks, as the weak absorption and fast carrier recombination reduce devices' performance.24,25 Nevertheless, these challenges can be overcome by some modification techniques such as decorating and doping methods. One of the easiest ways is to combine rGO with other materials to create a hybrid structure. For instance, Peng Xiao et al. introduced a photodetector based on a rGO–MoS2/pyramid Si heterojunction, which exhibited high performance with a considerably high responsivity of 21.8 A W−1 and ultrabroad spectrum response from 350 to 4300 nm.26 Besides, in 2020, a UV-to-Vis perovskite quantum dots-rGO photodetector fabricated by a group of Farzana Chowdhury indicated a sensitivity toward a wide light range with the value of specific detectivity reaching 1 × 1013 Jones.27 By this approach, a photodetector can take advantage of constituting components and overcome the limitations of devices based on a single material. However, the materials and fabrication methods used in current research are expensive and time-consuming, limiting their potential for industrial scale-up.28,29 Therefore, there is a need for further research to explore and develop cost-saving and efficient methods for the fabrication of hybrid structures and to investigate the use of alternative materials with similar properties that may be more readily available and affordable.

Herein, our study investigates the potential of a low-cost 2D CuO/rGO nanohybrid which was synthesized as an active material for broadband photodetectors. In this structure, rGO with high mobility was employed as a transport layer while 2D CuO with a large surface area was employed as an “antenna material” that absorbs photon signals to generate electron–hole pairs. The 2D CuO/rGO hybrid photodetector demonstrates an exceptional capability to detect light in the Vis to near IR range with multiple wavelengths consisting of 395, 464, 532, 640, 850, and 945 nm. Specifically, the maximum photocurrent reached ca. 13.3 μA (under exposure to 464 nm excitation, at an intensity of 156 mW cm−2). Additionally, the device's responsivity exhibited the highest value of 8 mA W−1 (under exposure to 395 nm light at an intensity of 37 mW cm−2). Based on these results, we believe that our 2D CuO/rGO hybrid structure has become a potential material for practical applications and industrial fabrication.

2. Experimental

2.1 Chemical materials

The chemicals used in this experiment include: copper(II) nitrate trihydrate (Cu(NO3)2·3H2O, 99% purity, Sigma Aldrich), graphene oxide nanoflakes (99% purity, Sigma Aldrich), acetone (C3H6O > 99,99% purity, Chemsol), ethanol (C2H5OH, 99,99% purity, Chemsol), and hydrazine hydrate solution (NH2NH2, 99,99% purity, Sigma Aldrich).

2.2 Materials fabrication process

The synthesis of the 2D CuO nanomaterial is described in Fig. S1 (ESI). Firstly, Cu(NO3)2·H2O was mixed with NaOH in a beaker at a mass ratio of 1[thin space (1/6-em)]:[thin space (1/6-em)]10. After 1 h, the solution underwent a 4 h hydrothermal process at 180 °C. The resulting sample was rinsed and filtered multiple times before being dried at 100 °C for 6 h to collect the 2D CuO nanoplates (powder). Next, 2D CuO was dispersed in C2H5OH, forming a 2D CuO dispersion with a CuO loading of 0.5 mg mL−1.

The formation of the rGO charge transport layer is illustrated in Fig. S2. Briefly, 0.5 mg mL−1 of GO (pre-dispersed in C2H5OH) was spray-coated onto a glass substrate. Then, the GO coated substrate was exposed to hydrazine vapor at 60 °C for 18 h to reduce the functional groups of GO, forming a rGO-coated sample. Finally, the hybrid structure of CuO and rGO was completed by spin-coating 0.5 mL of the 2D CuO dispersion (at 300 rpm for 30 s) on the as-prepared rGO layer, which was then dried at 100 °C for 1 h.

2.3 Device fabrication and characterization

The photodetector fabrication involved silver electrodes on a 0.7 cm2 channel area. The 2D CuO/rGO hybrid thin film, which was synthesized as described in the previous section, was then deposited onto the patterned electrodes to form the active layer of the photodetector. The crystal structures of rGO, 2D CuO, and 2D CuO/rGO were evaluated by X-ray diffraction (XRD) using a D8 Advance-Bruker diffractometer which was operated at 40 kV and 100 mA and a Cu/Kα radiation source (λ = 0.154 nm), a high-resolution transmission electron microscope (HR – TEM, JEM – 2100 Plus, JEOL) with an accelerating voltage of 200 kV equipped with a LaB6 filament and an energy dispersive X-ray (EDS) spectrometer (Ultim Max TEM, JEOL). The optical properties were recorded using an ultraviolet-visible (UV-vis) spectrophotometer (JASCO V670). Raman spectra were recorded with a Raman spectrometer (Xplora One, HORIBA) with a 532 nm excitation source, a capacity of 5 mW, a 10× objective lens, and an acquisition time of 15 s for each spectrum. The surface morphology was observed with a scanning electron microscope (SEM, Hitachi S-4800). Photodetector characteristics were investigated through IV and It curves using a Keithley 2400 system. The light sources used for I–V and It measurements include 395 nm (model M395L4 LED from THORLABS), 464 nm (model COBW1-480 from TOPAI), 532 nm and 640 nm (RG43A1 from THORLABS), 850 nm (model M850L3 from THORLABS) and 945 nm (model JH-5050IR12G42-T8A-940 from LEDGUHON).

3. Results and discussion

3.1 Fabrication and characterization

The fabrication procedure of the devices is depicted in Fig. 1. After the deposition of Ag electrodes, 2D CuO/rGO active materials were developed onto the substrate to complete the hybrid photodetector (see more details in the Experimental section).
image file: d3na00796k-f1.tif
Fig. 1 Schematic fabrication process of the 2D CuO/rGO hybrid photodetector.

Before evaluating the performance of a device, the properties of the active material layer need to be studied. The XRD patterns of rGO and 2D CuO/rGO samples are presented in Fig. 2a. In the hybrid sample, a characteristic diffraction peak of rGO was observed at 24.4°. Additionally, other peaks were determined at 33.6°, 35.4°, 38.5°, 48.7°, 54.2°, 58.3°, 61.5°, 66.3, 68.2°, 73.2° and 75.1° representing the (110), (002), (111), ([2 with combining macron]02), (020), (202), ([1 with combining macron]13), (002), (202), ([3 with combining macron]11) and (220) planes of the monoclinic phase of 2D CuO. These results match well with the XRD data of bare 2D CuO shown in Fig. S3a and in previous reports;30,31 therefore, the presence of both 2D CuO and rGO in the hybrid sample is confirmed. Otherwise, no exotic peak was observed in the XRD patterns. In general, the sharp and narrow diffraction peaks indicate that 2D CuO has good crystallinity and no strange phase appeared during the experiments.


image file: d3na00796k-f2.tif
Fig. 2 (a) XRD patterns and (b) UV-vis spectra of rGO and hybrid 2D CuO/rGO samples.

UV-vis absorption spectra were applied to determine the optical characteristics of rGO and the 2D CuO/rGO hybrid, and the results are shown in Fig. 2b. Clearly, it is shown that rGO has an absorption peak at 273 nm for removing functional groups from the GO structure.32 Moreover, as indicated in Fig. S3b, there is an absorption peak at around 360 nm, which is consistent with the excitonic absorption of 2D CuO.33 These results are consistent with some studies reported previously by the group of Sadur Rifki and the group of Anupamjeet Kaur.34,35 When rGO is combined with 2D CuO, the maximum absorption peak shifts to 389 nm, which can be explained by forming a Cu–O–C bond after the synthesis process.36

The morphological properties of the as-synthesized materials are depicted by SEM images in Fig. 3. Thin-paper rGO sheets are formed after the hydrazine reduction process (Fig. 3a).37 This formation is further confirmed by rGO Raman spectra in Fig. S4, where the signals of in-phase vibration of the graphite lattice (G-band) at 1575 cm−1 and the disorder band originating from graphite edges (D-band) at about 1385 cm−1 are observed.38 In Fig. 3b and c, uniform 2D CuO nanoplates appear like discrete clusters on the rGO sheets. From the analysis of the SEM image (Fig. S5), the average length and width of these nanoplates were estimated to be c.a. 410 nm and 240 nm, respectively. In our study, since CuO was coated onto rGO by a physical spray-coating technique, van der Waals interaction plays an important role in the networking of 2D nanoplates and the rGO layer. The HRTEM image in Fig. 3d shows a cluster of 2D CuO. Here, the distance between two neighboring fringes of 2D CuO was calculated to be 0.273 nm, and the SAED pattern in Fig. S6 (obtained using TEM equipment) exhibited bright dots attributed to the (110) crystal plane.39 Therefore, the results confirmed the well crystalline structure formed with almost no defects in 2D CuO, and the results are consistent with the XRD analysis.


image file: d3na00796k-f3.tif
Fig. 3 (a and b) SEM images of a rGO nanosheet at the 200 nm scale and CuO/rGO at the 500 μm scale, respectively; (c and d) TEM image and HRTEM image of 2D CuO/rGO, respectively.

Photodetector's characteristics are investigated using current–voltage (IV) and current depending on time (It) curves under a fixed bias of 1 V. In Fig. 4a, both rGO and 2D CuO/rGO-based devices exhibit linear IV relations, demonstrating good ohmic contacts at the 395 nm wavelength. However, the photodetector based on bare rGO shows poor light sensitivity because the photocurrent was negligible. In contrast, in Fig. 4b, the photocurrent through the device rapidly rose when the 395 nm light was turned on and decreased after turning of the light. The same behavior is observed when the devices are illuminated with the 464 nm wavelength, as shown in Fig. S7. The photocurrent (Iph) of a photodetector is calculated using the formula: Iph = IlightIdark,40 in which, Idark is the current measured in the dark, and Ilight is the current recorded 20 s after turning on the light. In Fig. S6, the Iph values of the 2D CuO/rGO device under 395 and 464 nm light sources were calculated to be 7.8 μA and 13.3 μA, respectively. In our report, the response time of a photodetector was defined as the time to reach 90% of its maximum photocurrent, while the recovery time was determined as the duration for the photocurrent to return to 10% of its highest value.41 As presented in Fig. S8a and b, the response and recovery times of the 2D CuO/rGO hybrid device under exposure to 395 nm light are 8.2 s and 24.8 s, respectively, while those under the 464 nm light source are 9.6 s and 25.7 s, respectively.


image file: d3na00796k-f4.tif
Fig. 4 (a) IV characteristics and (b) It measurements of rGO and 2D CuO/rGO photodetectors under exposure to 395 nm light.

Fig. 5a displays the It curves of the device under a 395 nm light source with various intensities. When the light intensity increased from 0.2 mW cm−2 to 37 mW cm−2, the photocurrent rose from 1.6 μA to 7.8 μA. These accelerations can be explained by the photocurrent and light intensity relationship: Iph = APθ, where A represents the wavelength constant, and θ stands for the exponential. Therefore, Iph is proportional to the intensity P.42


image file: d3na00796k-f5.tif
Fig. 5 (a) It curves of our hybrid photodetector toward different intensities of 395 nm light and (b) response repeatability in three cycles of exposure.

The stability of the hybrid photodetector was estimated by continuously turning on and off the LED of 395 nm wavelength, and the result is presented in Fig. 5b. There is no considerable change in photocurrent after several measuring cycles, which means that the device is suitable for long-term operation. Fig. S9 shows similar characteristics of the device under the 464 nm wavelength. Indeed, when the excitation intensity increased, the photocurrent went up accordingly (Fig. S9a), and there was almost no noticeable reduction in the device's performance after continuous investigation cycles. Interestingly, these behaviors are also observed under multiple wavelengths, comprising 532 nm, 640 nm, 850 nm, and 945 nm, as shown in Fig. S10.

On the other hand, three other parameters including responsivity (R), photoconductive gain (G) and detectivity (D) were calculated to assess the photodetector's performance. First, responsivity demonstrates the capability to convert an optical signal to an electrical signal of a photodetector, which can be presented by eqn (1):

 
image file: d3na00796k-t1.tif(1)
Then, photoconductive gain, which is defined as the number of carriers detected per absorbed photon, can be expressed by eqn (2):
 
image file: d3na00796k-t2.tif(2)
And finally, the ability of a photodetector to detect weak signals of light, known as detectivity, was obtained from eqn (3):
 
image file: d3na00796k-t3.tif(3)
In these equations, Iph stands for the photocurrent, P and A are the light intensity and the effective area of the device (0.7 cm2), h and c represents Planck's constant and light's velocity, and λ and e are the wavelength and the electron charge, in the given order.43–45 Interestingly, the calculated R and G of our device matched well with the theory: image file: d3na00796k-t4.tif Here, P0 is the excitation intensity where the surface states are fully filled, T0 is the carrier life-time at considerably low excitation intensity (P → 0), Tt is the carrier transit time, and n is a phenomenological fitting parameter (n ≈ 1).

Moreover, the maximum value of R and G could be estimated from curve fitting to the reciprocal function: image file: d3na00796k-t5.tif and image file: d3na00796k-t6.tif, in which a and b are constants. Both R and G decrease with the increase of P, and in Fig. 6, the highest values of R and G are recorded from the fitted curves, which are 8.8 mA W−1 and 28 fold under the 395 nm light, while under the 464 nm light, those values are 5.3 mAW−1 and 14 fold, respectively (please see Fig. S11). The increase in photocurrent at all wavelengths confirms that our hybrid device possesses broadband photodetection capability, consistent with the UV-vis absorption results mentioned above in Fig. 7.


image file: d3na00796k-f6.tif
Fig. 6 (a) Responsivity, (b) photoconductive gain and (c) detectivity of the 2D CuO/rGO device including reciprocal function fitting lines with error bars.

image file: d3na00796k-f7.tif
Fig. 7 Time-dependent current measurement of the hybrid photodetector under six lighting sources with specific wavelengths of 395, 464, 532, 640, 850, and 945 nm.

The summary of our photodetector results and comparison with some other reported devices are presented in Table 1. Although the performance of this hybrid 2D CuO/rGO device is not superior, it is acceptable as compared to the results from previous publications.

Table 1 Comparison of the responsivities of other rGO photodetectors
Active materials Wavelength λ (nm) Responsivity R (mA W−1) Ref.
p-Phenylendiamine-rGO/Si 382 1.4 46
rGO/GaN 382 1.54 47
WS2-QDs/rGO 405 5.22 48
rGO-SiNW 532 0.33 49
rGO-(Cd[thin space (1/6-em)]:[thin space (1/6-em)]Zn)S 470 9.2 50
rGO films 530 2.4 51
Hybrid 2D CuO/rGO 395 8.8 This work
464 5.3


3.2 Sensing mechanism

Regarding the charge transfer mechanism, in this hybrid structure, rGO worked as the hole-transporting layer while 2D CuO was the main material absorbing visible light for charge carrier generation. Fig. 8 illustrates the charge transfer direction between rGO and CuO. As reported in other studies, the work function of rGO is about 4.25 eV,52,53 and that of 2D CuO is around 4.70 eV.54,55 When two materials were combined, their Fermi levels aligned until reaching equilibrium, and a hole accumulation layer was formed at the CuO–rGO interface. On the other hand, since CuO surfaces could adsorb oxygen molecules, the hole concentration in the rGO layer slightly increased. Under light exposure, electron–hole pairs were generated inside 2D CuO. Because the valence band of rGO is higher than that of 2D CuO, the photo-excited holes easily transferred into rGO. Under an external electric field, electrons and holes inside rGO can be driven toward the silver electrodes leading to photocurrent enhancement.
image file: d3na00796k-f8.tif
Fig. 8 The proposed sensing mechanism of rGO and hybrid CuO/rGO photodetectors. Energy diagram of (a) the rGO device and the hybrid device under (b) dark conditions and (c) light condition.

4. Conclusion

In summary, we have successfully fabricated a low-cost photodetector based on a 2D CuO/rGO hybrid structure through a simple solution route, which exhibits a fast and stable response to vis and NIR. Furthermore, the 2D CuO/rGO device was also compared with a pristine rGO-based device to clarify the contribution of CuO to the sensitivity of the hybrid structure toward incident light and the results are thoroughly presented. Under 395 nm light illumination, the device's response and recovery time were respectively 8.2 s and 24.8 s, and the photocurrent was about 7.8 μA at P = 37 mW cm−2. Meanwhile, under 464 nm light illumination, those values were 10.6 s, 38.7 s and 13.3 μA at P = 156 mW cm−2. The maximum responsivity was 8.8 mA W−1 and 5.3 mA W−1 under 395 nm and 464 nm light illumination, respectively. Furthermore, with the recorded sensitivity toward longer wavelengths (532, 640, 850 and 945 nm), we do believe that our 2D CuO/rGO hybrid structure is a promising structure for low-cost processed broadband PDs in future.

Author contributions

D. A. Ngo: conceptualization, methodology, format analysis, investigation, and writing – original draft; N.M. Nguyen: data curation and methodology; C. K. Tran: format analysis and software; T. N. H. Tran: investigation and writing – review & editing; L.T. Duy: resources, software, and writing – review & editing; T. T. T. Bui: validation and data curation; T. T. V. Tran: visualization and data curation; V. Q. Dang: funding acquisition, supervision, project administration, and writing – review & editing.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This research is funded by Vietnam National University, Ho Chi Minh City (VNU-HCM) under grant number B2023-18-14.

Notes and references

  1. M. B. Alatise and G. P. Hancke, IEEE Access, 2020, 8, 39830–39846 Search PubMed.
  2. D. Belanche, L. V. Casaló, C. Flavián and J. Schepers, Serv. Ind. J., 2020, 40, 203–225 CrossRef.
  3. J. Mišeikis, P. Caroni, P. Duchamp, A. Gasser, R. Marko, N. Mišeikienė, F. Zwilling, C. de Castelbajac, L. Eicher, M. Früh and H. Früh, IEEE Robot. Automat. Lett., 2020, 5, 5339–5346 Search PubMed.
  4. E. Matheson, R. Minto, E. G. G. Zampieri, M. Faccio and G. Rosati, Robotics, 2019, 8, 100 CrossRef.
  5. A. De Santis, B. Siciliano, A. De Luca and A. Bicchi, Mech. Mach. Theor., 2008, 43, 253–270 CrossRef.
  6. H. Ishiguro, T. Ono, M. Imai, T. Maeda, T. Kanda and R. Nakatsu, Ind. Robot Int. J., 2001, 28, 498–504 CrossRef.
  7. T. Kim, S. Lee, T. Hong, G. Shin, T. Kim and Y.-L. Park, Sci. Robot., 2020, 5, eabc6878 CrossRef PubMed.
  8. R. Dahiya, N. Yogeswaran, F. Liu, L. Manjakkal, E. Burdet, V. Hayward and H. Jorntell, Proc. IEEE, 2019, 107, 2016–2033 Search PubMed.
  9. E. Monroy, F. Calle, J. L. Pau, E. Muñoz, F. Omnès, B. Beaumont and P. Gibart, J. Cryst. Growth, 2001, 230, 537–543 CrossRef CAS.
  10. P.-H. Chung, C.-T. Kuo, T.-H. Wang, Y.-Y. Lu, C.-I. Liu and T.-R. Yew, ACS Appl. Mater. Interfaces, 2021, 13, 6411–6420 CrossRef CAS PubMed.
  11. M. Sundaram, S. C. Wang, M. F. Taylor, A. Reisinger, G. L. Milne, K. B. Reiff, R. E. Rose and R. R. Martin, Infrared Phys. Technol., 2001, 42, 301–308 CrossRef.
  12. J. Chen, C. Tan, G. Li, L. Chen, H. Zhang, S. Yin, M. Li, L. Li and G. Li, Small, 2021, 17, 2006496 CrossRef CAS PubMed.
  13. J. He, J. Wu, S. Hu, H. Shen and X. Hu, Opt. Mater., 2019, 88, 689–694 CrossRef CAS.
  14. C.-K. Liu, H.-L. Loi, J. Cao, G. Tang, F. Liu, Q. Huang, X. Liang and F. Yan, Small Struct., 2021, 2, 2000084 CrossRef CAS.
  15. Y. Yu, M. Peng, F. Zhong, Z. Wang, X. Ge, H. Chen, J. Guo, Y. Wang, Y. Chen, T. Xu, T. Zhao, T. He, K. Zhang, F. Wu, C. Chen, J. Dai and W. Hu, Mater. Horiz., 2023, 10, 2579–2586 RSC.
  16. P. Wang, W. Xue, W. Ci, R. Yang and X. Xu, Mater. Futures, 2023, 2, 035301 CrossRef.
  17. Y. Zhang, F. Wang, X. Zhao, X. Feng, N. Zhang, F. Xia, Y. Ma, H. Li and T. Zhai, Nanoscale Horiz., 2022, 8, 108–117 RSC.
  18. L. Huang, B. Dong, X. Guo, Y. Chang, N. Chen, X. Huang, W. Liao, C. Zhu, H. Wang, C. Lee and K.-W. Ang, ACS Nano, 2019, 13, 913–921 CrossRef CAS PubMed.
  19. S. Kaushik, S. Karmakar, R. K. Varshney, H. Sheoran, D. Chugh, C. Jagadish, H. H. Tan and R. Singh, ACS Appl. Nano Mater., 2022, 5, 7481–7491 CrossRef CAS.
  20. Y. Xie, B. Zhang, S. Wang, D. Wang, A. Wang, Z. Wang, H. Yu, H. Zhang, Y. Chen, M. Zhao, B. Huang, L. Mei and J. Wang, Adv. Mater., 2017, 29, 1605972 CrossRef PubMed.
  21. M. Eluyemi, M. Eleruja, A. V. Adedeji, B. Olofinjana, O. Fasakin, O. Akinwunmi, O. Ilori, A. Famojuro, S. Ayinde and E. Ajayi, Graphene, 2016, 05, 143–154 CrossRef CAS.
  22. F. Xia, T. Mueller, Y. Lin, A. Valdes-Garcia and P. Avouris, Nat. Nanotechnol., 2009, 4, 839–843 CrossRef CAS PubMed.
  23. V. Q. Dang, T. Q. Trung, D.-I. Kim, L. T. Duy, B.-U. Hwang, D.-W. Lee, B.-Y. Kim, L. D. Toan and N.-E. Lee, Small, 2015, 11, 3054–3065 CrossRef CAS PubMed.
  24. M. Furchi, A. Urich, A. Pospischil, G. Lilley, K. Unterrainer, H. Detz, P. Klang, A. M. Andrews, W. Schrenk, G. Strasser and T. Mueller, Nano Lett., 2012, 12, 2773–2777 CrossRef CAS PubMed.
  25. J. Fang, D. Wang, C. T. DeVault, T.-F. Chung, Y. P. Chen, A. Boltasseva, V. M. Shalaev and A. V. Kildishev, Nano Lett., 2017, 17, 57–62 CrossRef CAS PubMed.
  26. P. Xiao, J. Mao, K. Ding, W. Luo, W. Hu, X. Zhang, X. Zhang and J. Jie, Adv. Mater., 2018, 30, 1801729 CrossRef PubMed.
  27. F. A. Chowdhury, B. Pradhan, Y. Ding, A. Towers, A. Gesquiere, L. Tetard and J. Thomas, ACS Appl. Mater. Interfaces, 2020, 12, 45165–45173 CrossRef CAS PubMed.
  28. T. Journot, V. Bouchiat, B. Gayral, J. Dijon and B. Hyot, ACS Appl. Mater. Interfaces, 2018, 10, 18857–18862 CrossRef CAS PubMed.
  29. T. Chen, Y. Sheng, Y. Zhou, R. Chang, X. Wang, H. Huang, Q. Zhang, L. Hou and J. H. Warner, ACS Appl. Mater. Interfaces, 2019, 11, 6421–6430 CrossRef CAS PubMed.
  30. N. Bouazizi, R. Bargougui, A. Oueslati and R. Benslama, Adv. Mater. Lett., 2015, 6, 158–164 CrossRef CAS.
  31. D. Zhu, L. Wang, W. Yu and H. Xie, Sci. Rep., 2018, 8, 5282 CrossRef PubMed.
  32. M. K. Rabchinskii, V. V. Shnitov, A. T. Dideikin, A. E. Aleksenskii, S. P. Vul’, M. V. Baidakova, I. I. Pronin, D. A. Kirilenko, P. N. Brunkov, J. Weise and S. L. Molodtsov, J. Phys. Chem. C, 2016, 120, 28261–28269 CrossRef CAS.
  33. A. Živković, N. H. De Leeuw, B. G. Searle and L. Bernasconi, J. Phys. Chem. C, 2020, 124, 24995–25003 CrossRef.
  34. E. Andrijanto, S. Shoelarta, G. Subiyanto and S. Rifki, AIP Conf. Proc., 2016, 1725, 020003 CrossRef.
  35. A. Kaur, S. Mann, B. Goyal, B. Pal and D. Goyal, RSC Adv., 2016, 6, 102733–102743 RSC.
  36. B. Avar and M. Panigrahi, Phys. Chem. Solid State, 2022, 23, 101–112 CrossRef.
  37. A. Thakur, S. Kumar and V. S. Rangra, AIP Conf. Proc., 2015, 1661, 080032 CrossRef.
  38. O.-K. Park, Y.-M. Choi, J. Y. Hwang, C.-M. Yang, T.-W. Kim, N.-H. You, H. Y. Koo, J. H. Lee, B.-C. Ku and M. Goh, Nanotechnology, 2013, 24, 185604 CrossRef PubMed.
  39. J. Zhang, H. Feng, Q. Qin, G. Zhang, Y. Cui, Z. Chai and W. Zheng, J. Mater. Chem. A, 2016, 4, 6357–6367 RSC.
  40. H. Zhang, X. Zhang, C. Liu, S.-T. Lee and J. Jie, ACS Nano, 2016, 10, 5113–5122 CrossRef CAS PubMed.
  41. K. Hou, Z. Huang, S. Liu, G. Liao, H. Qiao, H. Li and X. Qi, Nanoscale Adv., 2020, 2, 2185–2191 RSC.
  42. S. Pan, S.-E. Wu, J. Hei, Z. Zhou, L. Zeng, Y. Xing, P. Lin, Z. Shi, Y. Tian, X. Li and D. Wu, Nano Res., 2023, 16, 10552–10558 CrossRef CAS.
  43. X. Cao, Z. Lei, S. Zhao, L. Tao, Z. Zheng, X. Feng, J. Li and Y. Zhao, Nanoscale Adv., 2022, 4, 4296–4303 RSC.
  44. J. Garrido, E. Monroy, J.-I. Izpura and E. Munoz, Semicond. Sci. Technol., 1999, 13, 563 CrossRef.
  45. J. Wu, X. Zhang, Z. Wang, L. Liang, X. Niu, Q. Guan, S. You and J. Luo, Mater. Horiz., 2023, 10, 952–959 RSC.
  46. T. Chandrakalavathi, M. Reddeppa, T. Revathi, P. K. Basivi, S. K. Viswanath, G. Murali, M.-D. Kim and R. Jeyalakshmi, Diamond Relat. Mater., 2019, 93, 208–215 CrossRef CAS.
  47. K. Sarkar, M. Hossain, P. Devi, K. D. M. Rao and P. Kumar, Adv. Mater. Interfaces, 2019, 6, 1900923 CrossRef CAS.
  48. P. S. Abidehrawat, C. M. Julien and S. S. Islam, ACS Appl. Mater. Interfaces, 2020, 12, 39730–39744 CrossRef PubMed.
  49. Y. Cao, J. Zhu, J. Xu, J. He, J.-L. Sun, Y. Wang and Z. Zhao, Small, 2014, 10, 2345–2351 CrossRef CAS PubMed.
  50. J. Mathew, V. G. Sreeja, P. S. Subin and E. I. Anila, J. Mater. Sci.: Mater. Electron., 2020, 31, 2523–2529 CrossRef CAS.
  51. H. Y. Yang, H. J. Lee, Y. Jun and Y. J. Yun, Thin Solid Films, 2020, 697, 137785 CrossRef CAS.
  52. R. Garg, N. K. Dutta and N. R. Choudhury, Nanomaterials, 2014, 4, 267–300 CrossRef PubMed.
  53. A. Misra, H. Kalita and A. Kottantharayil, ACS Appl. Mater. Interfaces, 2014, 6, 786–794 CrossRef CAS PubMed.
  54. J. Deuermeier, H. Liu, L. Rapenne, T. Calmeiro, G. Renou, R. Martins, D. Muñoz-Rojas and E. Fortunato, APL Mater., 2018, 6, 096103 CrossRef.
  55. J. Zhang, J. Wang, Y. Fu, B. Zhang and Z. Xie, RSC Adv., 2015, 5, 28786–28793 RSC.

Footnote

Electronic supplementary information (ESI) available: Fabrication processes of a 2D CuO material and rGO channel, additional materials characterization, and electrical measurements of photodetectors under various wavelengths. See DOI: https://doi.org/10.1039/d3na00796k

This journal is © The Royal Society of Chemistry 2024
Click here to see how this site uses Cookies. View our privacy policy here.