• Title/Summary/Keyword: MeV implantations

Search Result 3, Processing Time 0.02 seconds

Defect Formatìon and Annealìng Behavìor in MeV Si Self-Implanted Silicon (MeV Si 자기 이온주입된 단결정 Silicon내의 결함 거동)

  • Cho, Nam-Hoon;Jang, Ki-Wan;Suh, Kyung-Soo;Lee, Jeoung-Yong;Ro, Jae-Sang
    • Korean Journal of Materials Research
    • /
    • v.6 no.7
    • /
    • pp.733-741
    • /
    • 1996
  • In this study MeV Si self ion implantations were done to reveal the intrinsic behavior of defect formation by excluding the possibility of chemical interactions between substrate atoms and dopant ones. Self implantations were conducted using Tandem Accelerator with energy ranges from 1 to 3 MeV. Defect formation by high energy ion implantation has a significant characteristics in that the lattice damage is concentrated near Rp and isolated from the surface. In order to investigate the energy dependence on defect formation, implantation energies were varied from 1 to 3 MeV under a constant dose of $1{\times}10^{15}/cm^2$. RBS channe!ed spectra showed that the depth at which as-implanted damaged layer formed increases as energy increases and that near surface region maintains better crystallinity as energy increases. Cross sectional TEM results agree well with RBS ones. In a TEM image as-implanted damaged layer appears as a dark band, where secondary defects are formed upon annealing. In the case of 2 MeV $Si^+$ self implantation a critical dose for the secondary defect formation was found to be between $3{\times}10^{14}/cm^24$ and $5{\times}10^{14}/cm^2$. Upon annealing the upper layer of the dark band was removed while the bottom part of the dark band did not move. The observed defect behavior by TEM was interpreted by Monte Carlo computer simulations using TRIM-code. SIMS analyses indicated that the secondary defect formed after annealing gettered oxygen impurities existed in silicon.

  • PDF

Optimization of the Profiles in MeV Implanted Silicon Through the Modification of Electronic Stopping Power

  • Jung, Won-Chae
    • Transactions on Electrical and Electronic Materials
    • /
    • v.14 no.2
    • /
    • pp.94-100
    • /
    • 2013
  • The elements B, P and As can each be implanted in silicon; for the fabrication of integrated semiconductor devices and the wells in CMOS (complementary metal oxide semiconductor). The implanted range due to different implanted species calculated using TRIM (Transport of Ions in Matter) simulation results was considered. The profiles of implanted samples could be measured using SIMS (secondary ion mass spectrometry). In the comparison between the measured and simulated data, some deviations were shown in the profiles of MeV implanted silicon. The Moliere, C-Kr, and ZBL potentials were used for the range calculations, and the results showed almost no change in the MeV energy region. However, the calculations showed remarkably improved results through the modification of the electronic stopping power. The results also matched very well with SIMS data. The calculated tolerances of $R_p$ and ${\Delta}R_p$ between the modified $S_e$ of TRIM and SIMS data were remarkably better than the tolerances between the TRIM and SIMS data.

A Study of Boron Profiles by High Energy ion Implantation in Silicon (실리콘에 붕소의 고에너지 이온주입에 의한 농도분포에 관한 연구)

  • 정원채
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
    • /
    • v.15 no.4
    • /
    • pp.289-300
    • /
    • 2002
  • In this study, the experiments are carried out by boron ion implantation at energies ranging from 700keV to 2MeV in silicon. The distribution of boron profiles are measured by SIMS(Cameca 6f). Boron dopants profiles after high temp]erasure annealing are also explained by comparisons of experimental and simulated data. A new electronic stopping model for Monte Carlo simulation of high energy implantation is presented. Also the comparisons of profiles by profiles boron ion implantations are demonstrated and interpreted with theoretical models. Finally range moments of SIMS and SRP profiles are calculated and compared with simulation results.