1997
DOI: 10.1063/1.366498
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Stopping and damage parameters for Monte Carlo simulation of MeV implants in crystalline Si

Abstract: Semiempirical models of electronic energy loss and damage formation for MeV ions (B, P, As) implanted in silicon at room temperature were investigated through the comparison of measurements with Monte Carlo simulations of both impurity and damage depth distributions. Accurate prediction of dopant profiles in an amorphous target and in a low-dose implanted crystal is achieved by a proper parametrization of well known analytic stopping models. Moreover, to accurately describe the dynamic effects of damage accumu… Show more

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Cited by 39 publications
(24 citation statements)
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“…4. Damage distribution simulation obtained by KING [13] representing Ge ions implanted through a 115nm wide aperture for energies varying between 30keV and 90keV. The completely amorphous region is shown as the area containing a value of displaced atoms between 80% and 90% with respect to the silicon atomic density.…”
Section: Ion Implantation Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…4. Damage distribution simulation obtained by KING [13] representing Ge ions implanted through a 115nm wide aperture for energies varying between 30keV and 90keV. The completely amorphous region is shown as the area containing a value of displaced atoms between 80% and 90% with respect to the silicon atomic density.…”
Section: Ion Implantation Conditionsmentioning
confidence: 99%
“…Ion implantation for grating patterning has been modelled by the 3D version of the Monte-Carlo binary collision approximation (MC-BCA) program KING [13]. The ion implantation induced refractive index change in silicon has been investigated by ellipsometry analysis paired with Rutherford backscattering (RBS) spectroscopy.…”
Section: Ion Implantation Conditionsmentioning
confidence: 99%
“…To test this hypothesis, we estimate the dose of excess interstitials implanted in the residual crystalline portion of the Si overlayer as a function of PAI energy, using the kinetic Monte Carlo implant simulator, KING. 12 The excess interstitial distributions for the as-implanted SOI samples were integrated between the amorphous/ crystalline interface and the BOX interface to give the dose of excess interstitials remaining within the overlayer after amorphization. The same calculation for bulk silicon, where the BOX is absent, gave a correspondingly larger dose of excess interstitials.…”
mentioning
confidence: 99%
“…3. King (2D) and King 3D use a Monte-Carlo Binary Collision approximation method for simulation, which does not account for dynamic annealing and the transport of defects [31], hence the simulation must be considered to be most accurate for low temperatures (77K). The simulation highlights large interface regions of lattice disorder, which are neither fully amorphous nor crystalline.…”
Section: Amorphization Conditionsmentioning
confidence: 99%