Next Article in Journal
SiO2 Passivated Graphene Saturable Absorber Mirrors for Ultrashort Pulse Generation
Previous Article in Journal
Synthesis of N-Doped Few-Layer Graphene through Shock-Induced Carbon Fixation from CO2
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nanomaterials
Volume 13
Issue 1
10.3390/nano13010110
nanomaterials-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Room-Temperature Response Performance of Coupled Doped-Well Quantum Cascade Detectors with Array Structure

by
Jie Chen
1,2,
Fengwei Chen
2,
Xuemin Wang
2,
Yunhao Zhao
1,
Yuyang Wu
1,
Qingchen Cao
1,
Tao Jiang
2,
Keyu Li
2,
Yang Li
2,
Jincang Zhang
3,
Weidong Wu
2,* and
Renchao Che
1,3,*
1
Laboratory of Advanced Materials, Shanghai Key Lab of Molecular Catalysis and Innovative Materials, Academy for Engineering & Technology, Fudan University, Shanghai 200438, China
2
Laser Fusion Research Center, China Academy of Engineering Physics, Mianyang 621900, China
3
Zhejiang Laboratory, Hangzhou 311100, China
*
Authors to whom correspondence should be addressed.
Nanomaterials 2023, 13(1), 110; https://doi.org/10.3390/nano13010110
Submission received: 19 November 2022 / Revised: 23 December 2022 / Accepted: 24 December 2022 / Published: 26 December 2022
(This article belongs to the Section Nanoelectronics, Nanosensors and Devices)
Browse Figures
Versions Notes

Abstract

:
Energy level interaction and electron concentration are crucial aspects that affect the response performance of quantum cascade detectors (QCDs). In this work, two different-structured array QCDs are prepared, and the detectivity reaches 109 cm·Hz1/2/W at room temperature. The overlap integral (OI) and oscillator strength (OS) between different energy levels under a series of applied biases are fitted and reveal the influence of energy level interaction on the response performance. The redistribution of electrons in the cascade structure at room temperatures is established. The coupled doped-well structure shows a higher electron concentration at room temperature, which represents a high absorption efficiency in the active region. Even better responsivity and detectivity are exhibited in the coupled doped-well QCD. These results offer a novel strategy to understand the mechanisms that affect response performance and expand the application range of QCDs for long-wave infrared (LWIR) detection.

1. Introduction

Compared with multiquantum-well infrared photodetectors (QWIPs), quantum cascade detectors (QCDs) are characterized by the insertion of asymmetric, multilevel, undoped layers as transport regions (TRs) between doped layers [1,2,3,4]. This special structure allows photoelectrons to migrate from one period to the next by longitudinal optical (LO) phonon-assisted tunneling instead of an applied bias to bend the barrier-well structure [5,6,7,8,9]. As an ideal photovoltaic detector without dark current, QCDs have attracted widespread attention over the last decade [10,11]. Owing to the mature preparation and stable Si+ doping technology, AlGaAs/GaAs has become the most prevalent material in QCDs [12,13,14]. The absorption wavelength and global transition rate of photoelectrons can be adjusted by controlling the thickness of the doped layers and the Al concentration, which has been proven theoretically and experimentally [15,16]. The patch-antenna structure and quantum dot QCDs based on AlGaAs/GaAs have been recently fabricated [17,18,19,20]. However, exploring improvements to the QCD detection performance has not been sufficiently investigated, and improving absorption and extraction efficiency is still an urgent requirement.
The electron migration behaviors of complex multiquantum wells in QCDs have been recently described theoretically [16,21,22]. These studies show that the energy level interaction and electron concentration play a key role in the absorption and extraction efficiency, which are closely related to the QCD response performance. For example, as the electron concentration triples, the responsivity of the QCD improves from 2.5 to 10.7 mA/W, and the detectivity increases by an order of magnitude at low temperatures [23]. Nevertheless, when the doping concentration ns reaches a critical value, the quantum efficiency saturates. Then, the detectivity of the QCD will decrease with further increased doping [24]. Increasing the thickness of the doped layer improves the carrier concentration, which serves as a simple and efficient way to enhance the quantum efficiency [25,26,27]. Recently, a coupled doped-well structure was proposed and fabricated where the active region (AR) consisted of two doped layers with the same intrinsic parameters [15,28]. The responsivity of the device reached 60 mA/W at 50 K under 0 V and rose to 100 mA/W under −2 V [28]. On the other hand, energy level splitting gives the QCD device broadband absorption. However, the effect of the energy level interaction and electron concentration on the response performance of the detector has not been fully studied experimentally. In addition, the array of coupled doped-well QCDs has not been reported so far.
In this work, two different-structured array QCDs are prepared by standard UV photolithography and the wet-etching technique. These QCD devices show a peak responsivity at 15.4 μm and exhibit a detectivity of 109 cm·Hz1/2/W at room temperature. Compared to traditional QCD, the coupled doped-well structure exhibits a higher responsivity and detectivity. Energy level interaction is simulated to reveal the effect of applied bias on the detection property of QCD devices. In addition, the electron distribution characteristic is discussed qualitatively. By combining the results of the experiment and simulation, the coupled doped-well QCD can serve as a powerful candidate structure to expand the application of QCD devices.

2. Experimental Details

Two Al0.28Ga0.72As/GaAs QCD structures (single well and coupled doped well) are grown on GaAs substrate via solid-source molecular beam epitaxy (MBE) at 605 °C. Both GaAs and AlGaAs have growth rates of 1 μm/h. To ensure the planer and vertical uniformity of the single layer thickness in the active region, the substrate rotation speed is set to ~30 rpm considering the angle of beam flux and the substrate surface. The growth sequence comprised a 400 nm thick GaAs buffer layer doped to 2.5 × 1018 cm−3, followed by a core region with 30 periods of asymmetric well–barrier multilayers, and finally a 200 nm thick GaAs contact layer doped to 2.5 × 1018 cm−3. The core regions in Angstroms for one period are 58/99/60/33/41/47.5/50/50 (single-well QCD (S-QCD)) and 58/99/33/99/60/33/41/47.5/50/50 (coupled doped-well QCD (C-QCD)), respectively. The underlined thickness values correspond to Al0.28Ga0.72As barriers, while the bold values indicate the uniformly doped layer (n-type, 2 × 1017 cm−3).
To optimize the light incident mode and increase the absorption of the structure compared to the facet, an array structure was fabricated by standard UV photolithography and the wet-etching technique, as shown in Figure 1a,b. The whole structure consists of 30 × 56 array units, and the area of each unit is 60 × 60 μm. Then, the top and bottom electrodes, as a photoelectron transmitter, were deposited by the electron beam evaporation of the Ge/Au/Ni/Au electrode. Every array unit was electrically connected by a 10 μm wide electrode to ensure the collection of photoelectrons. Thermal annealing (390 °C for 30 s) was adopted under a nitrogen atmosphere to provide good ohmic contact.
The electron wave function in the cascade structure (including energy levels interaction and carrier redistribution) is obtained by solving the Schrodinger–Poisson equation with an effective 2-band Kane model [29]. The structural parameters of the simulation are described above, and the temperature is set to 300 K. Electrons follow the Fermi–Dirac distribution. Finally, 3 periods of the cascade structure were calculated, but only the central 1 period is depicted.

3. Results and Discussion

3.1. Normal Incident Irradiation

Due to the array structure and electrode, two absorption ways are mainly considered in this work. One is the random scattering through the edge of the metal, and the other one is through the surface plasma resonance of periodic metal structures. The latter primarily uses the interaction between incident photons and electrons at the metal interface to couple light into the QCD. Figure 2 shows the cross-sectional distribution of the light field calculated by FDTD in the QCD device. The cascade structure thickness of the S-QCD and the C-QCD is 1.32 μm and 1.71 μm, respectively, corresponding to the regions in the simulation result (Y-axis: −2~0 μm). The result indicates that the normal incident irradiation is coupled into the cascade structure.

3.2. Microstructure and Band Structure

The cascade structures were observed using transmission electron microscopy (TEM) and illustrated by the color diagram, as shown in Figure 3a,b. The contrast intensity between the GaAs and AlGaAs layer indicates the alternating growth of the well and barrier in low magnifications. To obtain precise constructions, the white frame regions in Figure 3a,b are confirmed by cross-sectional high-resolution transmission electron microscopy (HRTEM) in Figure 3c,d, respectively. Although the region includes well and barrier layers, there is no lattice mismatch observed at the interface between the well–barrier layer due to the nearly uniform lattice constants (5.653 Å for GaAs and 5.658 Å for Al0.28Ga0.72As) [30]. Meanwhile, the HRTEM shows an excellent growth quality without distinct defects, such as dislocations and distortions. The cation–anion pairs of Ga+ (Al+) and As- are marked in Figure 3f,g based on the atomic arrangement diagram of the GaAs sphalerite structure [31,32,33].
Figure 4a,b shows the sub-band structures and electron wave function of each quantum cascade structure. In the bound-to-bound structure, E1 and E5 serve as the initial and final states of the electron absorption photon transitions, respectively, while the single electron state of E4, serves as an extractor, it has a strong overlap integral with E5 [15]. The E3 and E2 function as transfer stations and provide migration paths for electrons with LO-phonon scattering [34]. The inserted doped layer in the C-QCD complicates the sub-band energy level in the AR. As the two doped wells have the same intrinsic characteristics, the energy levels at the same state will split [35]. Consequently, the excited state E5 (ground state of E1) will split into upper excited level E5U and lower excited level E5L (upper ground level E1U and lower ground level E1L), as shown in Figure 4b. Figure 4c shows the schematic structure and migration path of the QCD. At thermal equilibrium, carriers mostly populate at the ground state E1 [36,37]. Under illumination, electrons will transition to the excited state E5 due to the high oscillator strength between E1 and E5 [38,39,40]. A few electrons will diagonally migrate to other energy levels under thermodynamic equilibrium [15]. However, the electron transition rate is lower than vertical migration by several orders of magnitude [16,21]. The extractor level E4 should have a strong OI to the excited energy level E5 to achieve a high extraction efficiency based on resonant tunneling [41,42]. A slight deviation in the OI between E5 and E4 can be compensated by the applied bias. The energy separations in the two quantum cascade structures are listed in Table 1.

3.3. Response Performance and Detectivity

The responsivity of the two QCDs with normal incident irradiation under different biases was tested, as shown in Figure 5a,b. The absorption peak of the S-QCD is located at 15.4 μm, which agrees with the original design. In contrast, the absorption peak of the C-QCD is located at 15.8 μm with a wider response spectrum. This is due to the coupling between energy levels which results in the splitting of the ground state and excited state levels. The peak responsivity (Rp) values of the two QCD devices with different applied biases are demonstrated in Figure 5c. The Rp rises with the applied bias increasing, which is in agreement with that reported previously [17,28]. The upward trend of the C-QCD is significantly higher than that of the S-QCD. This can be attributed to the introduction of the additional doped layer that optimizes the energy level alignment and increases the electron concentration in the active region, thereby improving the responsivity of the device.
To further compare the response performance of the two structures, the detectivity D* of the two QCDs is calculated as follows:
D * = R λ R 0 A 4 k B T
where R(λ) is the responsivity, and kB and T are the Boltzmann constant and temperature, respectively. The inset of Figure 5d exhibits the current densities versus bias under illumination by a blackbody at 300 K. The resistance R0, as a key parameter that governs the Johnson noise of the device, has been calculated by deriving from the slope of the V-I curves. Hence, the D* of the two QCD devices is obtained under room temperature and zero bias, as shown in Figure 5d. The detectivity of the S-QCD and the C-QCD is 9.39 × 108 cm·Hz1/2/W and 1.76 × 109 cm·Hz1/2/W at 0 V and 300 K, respectively. Figure 5d also shows the detectivity for other temperature points in reference. Generally, the detectivity decreases with increasing temperature [24]. However, the QCD in this work still maintains a high detectivity at room temperature and the detectivity of the C-QCD is higher two times than that of the S-QCD.

3.4. Energy Level Interaction

Several experimental results have shown that QCDs can exhibit much higher response performance under small biases [17,28]. This is ascribed to the detector performance of the QCD being closely related to the absorption and extraction efficiency of photoelectrons. While the applied bias plays an important role in the migration of photoelectrons between different energy levels [43]. Therefore, a series of dipole matrix elements (DMEs), OIs, and OSs under different applied biases are simulated to qualitatively reflect this rule, as shown in Figure 6.
The extraction efficiency relies primarily on the correlations between the excited level and the extractor level. Therefore, the OI and DME between E5 and E4 are considered in the S-QCD. In the C-QCD, there is a stronger coupling between the lower excited level and extractor level (Figure 4b), which is also the main migration path for photoelectrons, especially under applied bias. So, only the OI and DME between E5L and E4 are considered in the C-QCD. With the applied bias increasing and changing the initial optimization energy level arrangement, the DME and OI of the S-QCD decrease, as shown in Figure 6a,b. Compared with S-QCD, the DME and OI of the C-QCD first increase and then decrease. This can be ascribed to the characteristics of the coupled doped well, which cause the excited state E5 to split to the upper excited level E5U and lower excited level E5L. At zero bias, the structural design positions the extractor energy level E4 just between E5U and E5L (Figure 4b). With the applied bias increasing, the lower excited level and extractor level overlap and then separate. Consequently, the OI and DME of the C-QCD exhibit a process of rising and then falling, meanwhile showing a stronger extraction efficiency compared to the S-QCD. In addition to affecting the arrangement between adjacent energy levels, the applied bias also changes the oscillator strength, which is closely related to the photoelectric conversion efficiency. Therefore, the oscillator strengths between the ground state (E1) and excited state (E5) in the AR are calculated. Since the electrons on both the upper and lower ground levels transition to E5L in the C-QCD, E1 includes E1L and E1U. With the applied bias increasing, the OS in both the S-QCD and the C-QCD increases and then reaches saturation, while a higher value is shown in the latter. Consequently, the applied bias is beneficial to improve the response performance, and the extraction efficiency of photoelectrons can be optimized by using the coupled doped-well structure.

3.5. Redistribution of Electrons

In addition to the applied bias, the detection efficiency is also affected by electron concentration. Generally, the doping carriers are ideally distributed in the active region, however, the thermal diffusion will cause the actual distribution of carriers to deviate from the ideal state and redistribute. Therefore, the electron density distribution in real space in the two QCDs at room temperatures has been simulated.
The electron density at room temperature in the different wells is listed in Table 2. The position of each quantum well corresponds one-to-one to the quantum wells in Figure 4a,b. Ideally, electrons are mainly distributed in the doped well (~2 × 1011 cm−2 in S1, C1, and C2). However, at room temperature, the concentration of carriers in the doped well will decrease and diffuse into the adjacent well in the transport region. This is attributed to the thermal effects, which lead to the mutual diffusion of electrons [44]. Note that, owing to the two doping layers, the carrier concentration in the active region of the C-QCD is higher than that in the S-QCD at room temperature. Since the absorption efficiency is proportional to the carrier concentration, there is a higher response performance in the C-QCD.

4. Conclusions

In this work, two different array quantum cascade detectors are fabricated. The array QCDs exhibit a higher detectivity of 109 cm·Hz1/2/W at room temperature; meanwhile, the coupled doped-well QCD shows better responsivity and detectivity. Moreover, the interactions between different energy levels in the cascade structures are considered. The results demonstrated the energy level interaction can be optimized by the applied bias, which reveals the essence of the higher absorption and extraction efficiency in the coupled doped-well QCD. In addition, the electrons are redistributed due to the thermal effect, and the coupled doped-well QCD shows a higher electron concentration at room temperature. Introducing an extra doped layer can compensate for the carrier concentration decreasing in the active region caused by thermal diffusion. These results indicate that the coupled doped well can serve as a powerful candidate structure for improving response performances of QCD devices, and can also be applied to focal-plane array QCDs.

Author Contributions

Conceptualization, W.W. and F.C.; methodology, W.W. and R.C.; software, J.C. and F.C.; validation, X.W., Y.Z., T.J. and K.L.; formal analysis, Y.W. and Y.L.; investigation, Q.C., J.Z. and K.L.; resources, Y.W. and Y.L.; data curation, Q.C. and Y.L.; writing—original draft preparation, J.C.; writing—review and editing, Y.Z.; visualization, F.C.; supervision, W.W.; project administration, K.L. and T.J.; funding acquisition, R.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (52231007, 51725101, 11727807, 52271167, 61790581, 22088101), the Ministry of Science and Technology of China (973 Project Nos. 2021YFA1200600 and 2018YFA0209100), and the Shanghai Excellent Academic Leaders Program (19XD1400400), Shanghai Sailing Program (21YF1401800).

Data Availability Statement

Not applicable.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (52231007, 51725101, 11727807, 52271167, 61790581, 22088101), the Ministry of Science and Technology of China (973 Project Nos. 2021YFA1200600 and 2018YFA0209100), and the Shanghai Excellent Academic Leaders Program (19XD1400400), Shanghai Sailing Program (21YF1401800).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Livache, C.; Martinez, B.; Goubet, N.; Gréboval, C.; Qu, J.; Chu, A.; Royer, S.; Ithurria, S.; Silly, M.G.; Dubertret, B.; et al. A colloidal quantum dot infrared photodetector and its use for intraband detection. Nat. Commun. 2019, 10, 2125. [Google Scholar] [CrossRef] [Green Version]
  2. Onaran, E.; Onbasli, M.C.; Yesilyurt, A.; Yu, H.Y.; Nayfeh, A.M.; Okyay, A.K. Silicon-Germanium multi-quantum well pho-todetectors in the near infrared. Opt. Express 2012, 20, 7608–7615. [Google Scholar] [CrossRef] [PubMed]
  3. Gendron, L.; Koeniguer, C.; Marcadet, X.; Berger, V. Quantum cascade detectors. Infrared Phys. Technol. 2005, 47, 175–181. [Google Scholar] [CrossRef]
  4. Hainey, M.F.; Mano, T.; Kasaya, T.; Ochiai, T.; Osato, H.; Watanabe, K.; Sugimoto, Y.; Kawazu, T.; Arai, Y.; Shigetou, A.; et al. Systematic studies for improving device performance of quantum well infrared stripe photodetectors. Nanophotonics 2020, 9, 3373–3384. [Google Scholar] [CrossRef]
  5. Tkach, M.V.; Seti, J.O.; Voitsekhivska, O.M.; Pytiuk, O.Y. Photo- and phonon-assisted transport of electrons in resonant tun-neling structrues. J. Phys. Stud. 2017, 21, 1702. [Google Scholar] [CrossRef]
  6. Kumar, S.; Chan, C.W.; Hu, Q.; Reno, J.L. A 1.8-THz quantum cascade laser operating significantly above the temperature of ℏω/kB. Nature Phys. 2011, 7, 166–171. [Google Scholar] [CrossRef]
  7. Ravikumar, A.P.; Jesus, J.D.; Tamargo, M.C.; Gmach, C.F. High performance, room temperature, broadband II-VI quantum cascade detector. Appl. Phys. Lett. 2015, 107, 141105. [Google Scholar] [CrossRef]
  8. Hwang, J.; Ku, Z.; Jeon, J.; Kim, Y.; Kim, J.; Kim, D.-K.; Urbas, A.; Kim, E.; Lee, S. Plasmonic-Layered InAs/InGaAs Quantum-Dots-in-a-Well Pixel Detector for Spectral-Shaping and Photocurrent Enhancement. Nanomaterials 2020, 10, 1827. [Google Scholar] [CrossRef]
  9. Jolley, G.; Fu, L.; Tan, H.H.; Jagadish, C. The influence of doping on the device characteristics of In0.5Ga0.5As/GaAs/Al0.2Ga0.8As quantum dots-in-a-well infrared photodetectors. Nanoscale 2010, 2, 1128–1133. [Google Scholar] [CrossRef]
  10. Jouy, P.; Mangold, M.; Tuzson, B.; Emmenegger, L.; Chang, Y.C.; Hvozdara, L.; Herzig, H.P.; Wagli, P.; Homsy, A.; Rooij, N.F.; et al. Mid-infrared spectroscopy for gases and liquids based on quan-tum cascade technologies. Analyst 2014, 139, 2039–2046. [Google Scholar] [CrossRef]
  11. Benz, A.; Krall, M.; Schwarz, S.; Dietze, D.; Detz, H.; Andrews, A.M.; Schrenk, W.; Strasser, G.; Unterrainer, K. Resonant metamaterial detectors based on THz quantum-cascade structures. Sci. Rep. 2014, 4, 4269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Tutuncuoglu, G.; de la Mata, M.; Deiana, D.; Potts, H.; Matteini, F.; Arbiol, J.; i Morral, A.F. Towards defect-free 1-D GaAs/AlGaAs heterostructures based on GaAs nanomembranes. Nanoscale 2015, 7, 19453–19460. [Google Scholar] [CrossRef] [PubMed]
  13. Hainey, M.F.; Mano, T.; Kasaya, T.; Ochiai, T.; Osato, H.; Watanabe, K.; Sugimoto, Y.; Kawazu, T.; Arai, Y.; Shigetou, A.; et al. Near-field resonant photon sorting applied: Dual-band metasurface quantum well infrared photodetectors for gas sensing. Nanophotonics 2020, 9, 4775–4784. [Google Scholar] [CrossRef]
  14. Zha, G.W.; Shang, X.J.; Ni, H.Q.; Yu, Y.; Xu, J.X.; Wei, S.H.; Ma, B.; Zhang, L.C.; Niu, Z.C. In situ probing and integration of single self-assembled quantum dots-in-nanowires for quantum photonics. Nanotechnology 2015, 26, 385706. [Google Scholar] [CrossRef]
  15. Reininger, P.; Schwarz, B.; Detz, H.; MacFarland, D.; Zederbauer, T.; Andrews, A.M.; Schrenk, W.; Baumgartner, O.; Kosina, H.; Strasser, G. Diagonal-transition quantum cascade detector. Appl. Phys. Lett. 2014, 105, 091108. [Google Scholar] [CrossRef]
  16. Koeniguer, C.; Dubois, G.; Gomez, A.; Berger, V. Electronic transport in quantum cascade structures at equilibrium. Phys. Rev. B 2006, 74, 235325. [Google Scholar] [CrossRef] [Green Version]
  17. Bigioli, A.; Armaroli, G.; Vasanelli, A.; Gacemi, D.; Todorov, Y.; Palaferri, D.; Li, L.; Davies, A.G.; Linfield, E.H.; Sirtori, C. Long-wavelength infrared photovoltaic heterodyne receivers using patch-antenna quantum cascade detectors. Appl. Phys. Lett. 2020, 116, 161101. [Google Scholar] [CrossRef]
  18. Palaferri, D.; Todorov, Y.; Bigioli, A.; Mottaghizadeh, A.; Gacemi, D.; Calabrese, A.; Vasanelli, A.; Li, L.; Davies, A.G.; Lin-field, E.H.; et al. Room-temperature nine-μm-wavelength photodetectors and GHz-frequency heterodyne receivers. Nature 2018, 556, 85–88. [Google Scholar] [CrossRef]
  19. Huang, J.; Guo, D.; Chen, W.; Deng, Z.; Bai, Y.; Wu, T.; Chen, Y.; Liu, H.; Wu, J.; Chen, B. Sub-monolayer quantum dot quantum cascade mid-infrared photodetector. Appl. Phys. Lett. 2017, 111, 251104. [Google Scholar] [CrossRef]
  20. Shen, Z.; Deng, Z.; Zhao, X.; Huang, J.; Cao, C.; Zou, X.; Liu, F.; Gong, Q.; Chen, B. Submonolayer quantum dot quantum cascade long-wave infrared photodetector grown on Ge substrate. Appl. Phys. Lett. 2021, 118, 081102. [Google Scholar] [CrossRef]
  21. Jasnot, F.R.; Laperne, N.P.; Vaulchier, L.A.; Guldner, Y.; Carosella, F.; Ferreira, R.; Buffaz, A.; Doyennette, L.; Berger, V.; Carras, M.; et al. Photocurrent analysis of quantum cascade detectors by magnetotransport. Phys. Rev. B 2010, 82, 125447. [Google Scholar] [CrossRef] [Green Version]
  22. Gomez, A.; Péré-Laperne, N.; de Vaulchier, L.-A.; Koeniguer, C.; Vasanelli, A.; Nedelcu, A.; Marcadet, X.; Guldner, Y.; Berger, V. Dark current analysis of quantum cascade detectors by magnetoresistance measurements. Phys. Rev. B 2008, 77, 085307. [Google Scholar] [CrossRef] [Green Version]
  23. Wang, F.J.; Zhuo, N.; Liu, S.M.; Ren, F.; Ning, Z.D.; Ye, X.L.; Liu, J.Q.; Zhai, S.Q.; Liu, F.Q.; Wang, Z.G. Temperature independent infrared responsivity of a quantum dot quantum cascade photodetector. Appl. Phys. Lett. 2016, 108, 251103. [Google Scholar] [CrossRef]
  24. Giorgetta, F.R.; Baumann, E.; Graf, M.; Yang, Q.K.; Manz, C.; Kohler, K.; Beere, H.E.; Ritchie, D.A.; Linfield, E.; Davies, A.G.; et al. Quantum Cascade Detectors. IEEE J. Quantum Electron. 2009, 45, 1039–1052. [Google Scholar] [CrossRef] [Green Version]
  25. Hood, A.; Hoffman, D.; Nguyen, B.-M.; Delaunay, P.-Y.; Michel, E.; Razeghi, M. High differential resistance type-II InAs∕GaSb superlattice photodiodes for the long-wavelength infrared. Appl. Phys. Lett. 2006, 89, 093506. [Google Scholar] [CrossRef]
  26. Jiang, D.; Xiang, W.; Guo, F.; Hao, H.; Han, X.; Li, X.; Wang, G.; Xu, Y.; Yu, Q.; Niu, Z. Very high quantum efficiency in InAs/GaSb superlattice for very long wavelength detection with cutoff of 21 μm. Appl. Phys. Lett. 2016, 108, 121110. [Google Scholar] [CrossRef]
  27. Rygała, M.; Ryczko, K.; Smołka, T.; Kujawa, D.; Martyniuk, P.; Ronningen, T.J.; Krishna, S.; Motyka, M. Investigating the physics of higher-order optical transitions in InAs/GaSb superlattices. Phys. Rev. B 2021, 104, 085410. [Google Scholar] [CrossRef]
  28. Li, L.; Zhou, X.; Tang, Z.; Zhou, Y.W.; Zheng, Y.; Li, N.; Chen, P.; Li, Z.; Lu, W. Long wavelength infrared quantum cascade detector with a broadband response. J. Phys. D Appl. Phys. 2018, 51, 37LT01. [Google Scholar] [CrossRef]
  29. Christian, J.; Tillmann, K. Modeling techniques for quantum cascade lasers. Appl. Phys. Rev. 2014, 1, 011307. [Google Scholar]
  30. Jiang, M.; Xiao, H.Y.; Peng, S.M.; Yang, G.X.; Liu, Z.J.; Zu, X.T. A comparative study of low energy radiation response of AlAs, GaAs and GaAs/AlAs superlattice and the damage effects on their electronic structures. Sci. Rep. 2018, 8, 2012. [Google Scholar] [CrossRef] [Green Version]
  31. Wang, N.; Cao, D.; Wang, J.; Liang, P.; Chen, X.; Shu, H. Interface effect on electronic and optical properties of antimonene/GaAs van der Waals heterostructures. J. Mater. Chem. C 2017, 5, 9687. [Google Scholar] [CrossRef]
  32. Rouzhahong, Y.; Wushuer, M.; Mamat, M.; Wang, Q.; Wang, Q. First Principles Calculation for Photocatalytic Activity of GaAs Monolayer. Sci. Rep. 2020, 10, 9597. [Google Scholar] [CrossRef] [PubMed]
  33. Zhao, M.; Chen, X.; Li, L.; Zhang, X. Driving a GaAs film to a large-gap topological insulator by tensile strain. Sci. Rep. 2015, 5, 8441. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Zhao, Y.; Zhang, J.; Cai, C.; Chen, J.; Zhao, X.; Liang, C.; Liu, F.; Shi, Y.; Liu, X.; Che, R. Domino Effect of Thickness Fluctuation on Subband Structure and Electron Transport within Semiconductor Cascade Structures. ACS Appl. Mater. Interfaces 2020, 37, 41950–41959. [Google Scholar] [CrossRef]
  35. Zhou, F.; Cao, Z.; Shen, Q. Energy splitting in symmetric double-well potentials. Phys. Rev. A 2003, 67, 062112. [Google Scholar] [CrossRef] [Green Version]
  36. Ashfold, M.; King, G.; Murdock, D.; Nix, M.; Oliver, T.; Sage, A. πσ* excited states in molecular photochemistry. Phys. Chem. Chem. Phys. 2010, 12, 1218–1238. [Google Scholar] [CrossRef]
  37. Cirio, M.; De Liberato, S.; Lambert, N.; Nori, F. Ground State Electroluminescence. Phys. Rev. Lett. 2016, 116, 113601. [Google Scholar] [CrossRef] [Green Version]
  38. Zhang, B.; Kano, S.S.; Shiraki, Y.; Ito, R. Reflectance study of the oscillator strength of excitons in semiconductor quantum wells. Phys. Rev. B 1994, 50, 7499–7508. [Google Scholar] [CrossRef]
  39. Sugakov, V.I.; Vertsimakha, G.V. Localized exciton states with giant oscillator strength in quantum well in vicinity of metallic nanoparticle. Phys. Rev. B 2010, 81, 235308. [Google Scholar] [CrossRef]
  40. Scamarcio, G.; Capasso, F.; Sirtori, C.; Faist, J.; Hutchinson, A.L.; Sivco, D.L.; Cho, A.Y. High-Power Infrared (8-Micrometer Wavelength) Superlattice Lasers. Science 1997, 276, 773–776. [Google Scholar] [CrossRef]
  41. Buffaz, A.; Carras, M.; Doyennette, L.; Nedelcu, A.; Marcadet, X.; Berger, V. Quantum cascade detectors for very long wave infrared detection. Appl. Phys. Lett. 2010, 96, 172101. [Google Scholar] [CrossRef]
  42. Aizin, G.R.; Laikhtman, B.; Gumbs, G. Plasmons in coupled electron-hole double quantum wells. Phys. Rev. B 2001, 64, 125317. [Google Scholar] [CrossRef]
  43. Kublitski, J.; Fischer, A.; Xing, S.; Baisinger, L.; Bittrich, E.; Spoltore, D.; Benduhn, J.; Vandewal, K.; Leo, K. Enhancing sub-bandgap external quantum efficiency by photomultiplication for narrowband organic near-infrared photodetectors. Nat. Commun. 2021, 12, 4259. [Google Scholar] [CrossRef] [PubMed]
  44. Hu, C.; Ye, H.; Wang, G.; Tian, H.; Wang, W.; Wang, W.; Liu, B.; Marie, X. Room temperature spin diffusion in (110) GaAs/AlGaAs quantum wells. Nanoscale Res. Lett. 2011, 6, 149. [Google Scholar] [CrossRef] [PubMed]
Nanomaterials 13 00110 g001 550
Figure 1. Array QCD structure. (a) The preparation steps of the array QCD. (b) The SEM of array QCD. The area of each unit is 60 × 60 μm, as marked by the red ruler. Inset (Ⅰ) is the corresponding structure diagram of the array unit.
Figure 1. Array QCD structure. (a) The preparation steps of the array QCD. (b) The SEM of array QCD. The area of each unit is 60 × 60 μm, as marked by the red ruler. Inset (Ⅰ) is the corresponding structure diagram of the array unit.
Nanomaterials 13 00110 g001
Nanomaterials 13 00110 g002 550
Figure 2. Cross-sectional distribution of the light field in the QCD device. The Y-axis coordinate represents the thickness of the device and the substrate, where zero is the surface of the QCD devices.
Figure 2. Cross-sectional distribution of the light field in the QCD device. The Y-axis coordinate represents the thickness of the device and the substrate, where zero is the surface of the QCD devices.
Nanomaterials 13 00110 g002
Nanomaterials 13 00110 g003 550
Figure 3. Microstructure and atomic arrangement. Low-magnification TEM image of (a) S-QCD and (b) C-QCD. The dashed red frame represents one period of the asymmetric well–barrier multilayers. The white arrows denote the growth direction, while the white frame shows the corresponding regions of (c,d), which correspond to samples S-QCD and C-QCD, respectively. Cross-sectional HRTEM image of (c) S-QCD and (d) C-QCD. (e) Atomic arrangement diagram of the GaAs sphalerite structure. Cation–anion pairs of AlGaAs in (f) S-QCD and (g) C-QCD.
Figure 3. Microstructure and atomic arrangement. Low-magnification TEM image of (a) S-QCD and (b) C-QCD. The dashed red frame represents one period of the asymmetric well–barrier multilayers. The white arrows denote the growth direction, while the white frame shows the corresponding regions of (c,d), which correspond to samples S-QCD and C-QCD, respectively. Cross-sectional HRTEM image of (c) S-QCD and (d) C-QCD. (e) Atomic arrangement diagram of the GaAs sphalerite structure. Cation–anion pairs of AlGaAs in (f) S-QCD and (g) C-QCD.
Nanomaterials 13 00110 g003
Nanomaterials 13 00110 g004 550
Figure 4. Band structures and schematic diagram of the QCD. Conduction band structures and wave functions of samples (a) S-QCD and (b) C-QCD. The colored background represents the active region (blue) and transport region (green). (c) Schematic diagram and migration of electrons in the cascade structure.
Figure 4. Band structures and schematic diagram of the QCD. Conduction band structures and wave functions of samples (a) S-QCD and (b) C-QCD. The colored background represents the active region (blue) and transport region (green). (c) Schematic diagram and migration of electrons in the cascade structure.
Nanomaterials 13 00110 g004
Nanomaterials 13 00110 g005 550
Figure 5. Response performance and detectivity. The responsivity of (a) S-QCD and (b) C-QCD under different applied biases. (c) Peak responsivity (Rp) of the two QCDs as a function of the applied bias at 300 K. (d) Detectivity D* of the two QCD devices at 300 K. Inset: current density as a function of the bias under the illumination by a blackbody at 300 K.
Figure 5. Response performance and detectivity. The responsivity of (a) S-QCD and (b) C-QCD under different applied biases. (c) Peak responsivity (Rp) of the two QCDs as a function of the applied bias at 300 K. (d) Detectivity D* of the two QCD devices at 300 K. Inset: current density as a function of the bias under the illumination by a blackbody at 300 K.
Nanomaterials 13 00110 g005
Nanomaterials 13 00110 g006 550
Figure 6. Correlations between different energy levels. (a) OI and (b) DME over the applied bias between the excited state (E5) and extractor energy level (E4). (c) Oscillator strength between the ground state (E1) and excited state (E5).
Figure 6. Correlations between different energy levels. (a) OI and (b) DME over the applied bias between the excited state (E5) and extractor energy level (E4). (c) Oscillator strength between the ground state (E1) and excited state (E5).
Nanomaterials 13 00110 g006
Table
Table 1. Energy separations in the two QCD devices.
Table 1. Energy separations in the two QCD devices.
S-QCDE1–E5E4–E5E2–E4E2–E4
81 meV6 meV29 meV36 meV
C-QCDE1L–E5LE1L–E5UE1U–E5LE1U–E5UE4–E5LE4–E5UE3–E4E2–E4
78 meV89 meV75 meV86 meV3 meV8 meV30 meV36 meV
Table
Table 2. Electron density in each well of two QCDs.
Table 2. Electron density in each well of two QCDs.
SampleSingle-Well QCD
WellS1S2S3S4
Electron density (cm−2)1.45 × 10110.08 × 10110.2 × 10110.23 × 1011
SampleCoupled Doped-Well QCD
WellC1C2                C3C4C5
Electron density (cm−2)1.68 × 10111.7 × 1011    0.09 × 10110.24 × 10110.29 × 1011
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Chen, J.; Chen, F.; Wang, X.; Zhao, Y.; Wu, Y.; Cao, Q.; Jiang, T.; Li, K.; Li, Y.; Zhang, J.; et al. Room-Temperature Response Performance of Coupled Doped-Well Quantum Cascade Detectors with Array Structure. Nanomaterials 2023, 13, 110. https://doi.org/10.3390/nano13010110

AMA Style

Chen J, Chen F, Wang X, Zhao Y, Wu Y, Cao Q, Jiang T, Li K, Li Y, Zhang J, et al. Room-Temperature Response Performance of Coupled Doped-Well Quantum Cascade Detectors with Array Structure. Nanomaterials. 2023; 13(1):110. https://doi.org/10.3390/nano13010110

Chicago/Turabian Style

Chen, Jie, Fengwei Chen, Xuemin Wang, Yunhao Zhao, Yuyang Wu, Qingchen Cao, Tao Jiang, Keyu Li, Yang Li, Jincang Zhang, and et al. 2023. "Room-Temperature Response Performance of Coupled Doped-Well Quantum Cascade Detectors with Array Structure" Nanomaterials 13, no. 1: 110. https://doi.org/10.3390/nano13010110

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop