XIONG Bojun, LI Lihua, YANG Chaowei, LI Xiongjun, ZHAO Peng, WAN Zhiyuan. As Ion Implantation Technology for LWIR HgCdTe Infrared Detector[J]. Infrared Technology , 2022, 44(2): 129-133.
Citation: XIONG Bojun, LI Lihua, YANG Chaowei, LI Xiongjun, ZHAO Peng, WAN Zhiyuan. As Ion Implantation Technology for LWIR HgCdTe Infrared Detector[J]. Infrared Technology , 2022, 44(2): 129-133.

As Ion Implantation Technology for LWIR HgCdTe Infrared Detector

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  • Received Date: August 30, 2021
  • Revised Date: October 10, 2021
  • The p-on-n HgCdTe infrared detector has advantages of long minority carrier life, low dark current, high R0A product, and is an important device structure in the development of high-temperature detectors along with long wavelength infrared (LWIR) and very LWIR(VLWIR) detectors. However, there are few local reports on arsenic-implanted doped p-on-n long-wave HgCdTe detectors. To meet the urgent application requirements of high-performance long-wave detectors in the military and aerospace fields, studies have focused on long-wavelength p-on-n HgCdTe infrared detector annealing technology for As ion implantation. Secondary ion mass spectrometry(SIMS) was used to analyze the distribution of As ion concentration after implantation and annealing, and a semiconductor parameter tester was used to characterize the I-V characteristics of the pn junction. The results show that under mercury-rich conditions at 430℃ for 0.5 h and at 240℃ for 20 h, the As was activated. Further, the As implanted long-wavelength 15-μm 640×512 p-on-n HgCdTe infrared focal plane detector was successfully fabricated, and the operable pixel factor of the detector was greater than 99.7%. This research is of great significance for the fabrication of LWIR and VLWIR mercury cadmium telluride p-on-n focal plane detectors.
  • [1]
    LEI W, Antoszewski J, Faraone L. Progress, challenges, and opportunities for HgCdTe infrared materials and detectors[J]. Applied Physics Reviews, 2015, 2(4): 041303. DOI: 10.1063/1.4936577
    [2]
    Rogalski A, Martyniuk P, Kopytko M. Challenges of small-pixel infrared detectors: a review[J]. Reports on Progress in Physics, 2016, 79(4): 046501. DOI: 10.1088/0034-4885/79/4/046501
    [3]
    Korotaev A G, Izhnin I I, Mynbaev K D, et al. Hall-effect studies of modificationof HgCdTe surface properties with ion implantation and thermal annealing[J]. Surface & Coatings Technology, 2020, 393: 125721.
    [4]
    Bubulac L O, Lo D S, Tennant W E, et al. p on n ion implanted junctions in liquid phase epitaxy HgCdTe layers on CdTe substrates[J]. Applied Physics Letters, 1987, 50(22): 1586-1588. DOI: 10.1063/1.97788
    [5]
    Baier N, Cervera C, Gravrand O, et al. Latest developments in long-wavelength and very-long-wavelength infrared detection with p-on-n HgCdTe[J]. Journal of Electronic Materials, 2015, 44(9): 3144-3150. DOI: 10.1007/s11664-015-3851-0
    [6]
    Izhnin I I, Fitsych O I, Świątek Z, et al. Effect of annealing on the structural properties of arsenic-implanted mercury cadmium telluride[J]. Opto-Electron Review, 2019, 27(1): 14-17. DOI: 10.1016/j.opelre.2019.01.002
    [7]
    Robinson H G, Berding M A, Hamilton W J. Enhanced diffusion and interdiffusion in HgCdTe from Fermi-level effects[J]. Journal of Electronic Materials, 2000, 29(6): 657-663. DOI: 10.1007/s11664-000-0201-6
    [8]
    陈慧卿, 史春伟, 胡尚正, 等. 中波镉汞p-on-n高温工作技术研究[J]. 激光与红外, 2020, 50(4): 435-438. DOI: 10.3969/j.issn.1001-5078.2020.04.009

    CHEN H Q, SHI C W, HU S Z, et al. Study on p-on-n technology of the MWIR HgCdTe for hot work[J]. Laser and Infrared, 2020, 50(4): 435-438. DOI: 10.3969/j.issn.1001-5078.2020.04.009
    [9]
    Arias J M, Pasko J G, Zandian M, et al. MBE HgCdTe heterostructure p-on-n planar infrared photodiodes[J]. Journal of Electronic Materials, 1993, 22(8): 1049-1053. DOI: 10.1007/BF02817523
    [10]
    Mollard L, Destefanis G, Baier N, et al. Planar p-on-n HgCdTe FPAs by arsenic ion implantation[J]. Journal of Electronic Materials, 2009, 38(8): 1805-1813. DOI: 10.1007/s11664-009-0829-9
    [11]
    Schaake H F. Kinetics of activation of group V impurities in Hg1−xCdxTe alloys[J]. Journal of Applied Physics, 2000, 88(4): 1765-1770. DOI: 10.1063/1.1302738
    [12]
    Berding M A, Sher A, van Schilfgaarde M, et al. Modeling of arsenic activation in HgCdTe[J]. Journal of Electronic Materials, 1998, 27(6): 605-609. DOI: 10.1007/s11664-998-0023-5
    [13]
    Shaw D. An activation model for the As acceptor in HgCdTe[J]. Semiconductor Science Technology, 2008, 23(78): 085014.
    [14]
    Baier N, Mollard L, Rothman J, et al. Status of p-on-n HgCdTe technologies at DEFIR[C]//Proceedings of SPIE, The International Society for Optical Engineering, Infrared Technology and Applications XXXV, 2009, 7298: 729823.
    [15]
    Bubulac L O. Diffusion and activation of p-type species for p-on-n junction formation and novel characterization techniques for mercury cadmium telluride epilayers[D]. Los Angeles: University of California, 1991.
    [16]
    Ryssel H, Lang G, Biersack J P, et al. Ion implantation doping of Cd0.2Hg0.8Te for infrared detectors[J]. IEEE Transactions on Electron Devices, 1980, 27(1): 58-62. DOI: 10.1109/T-ED.1980.19819
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