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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Rossall, Andrew K.
University of Huddersfield
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2024Understanding the passivation layer formed by tolyltriazole on copper, bronze, and brass surfaces
- 2024Understanding the passivation layer formed by tolyltriazole on copper, bronze, and brass surfaces
- 2019Use of TRIDYN and medium energy ion scattering to calibrate an industrial arsenic plasma doping processcitations
- 2019Analysis of plasma enhanced pulsed laser deposition of transition metal oxide thin films using medium energy ion scatteringcitations
- 2017Combining dynamic modelling codes with medium energy ion scattering measurements to characterise plasma dopingcitations
- 2014Modelling of laser ablation and reactive oxygen plasmas for pulsed laser deposition of zinc oxidecitations
- 2010Laser interaction with low-density carbon foam
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article
Use of TRIDYN and medium energy ion scattering to calibrate an industrial arsenic plasma doping process
Abstract
Plasma doping ion implantation (PLAD) is becoming increasingly important for enabling the manufacture of advanced semiconductor devices. In this study, a VIISTA PLAD implanter was used to implant planar 300 mm Si wafers with As/7 keV from an arsine containing plasma with a total ion fluence of 1 × 1016 ions/cm2 . The wafers then underwent a wet chemical clean and anneal<br/>to mimic a full industrial process flow. The effects of each process step were measured using crosssectional TEM images, TEM/energy dispersive spectroscopy measurements, and medium energy ion scattering (MEIS). The PLAD implantation process was modeled using dynamic trim (TRIDYN), a dynamic, binary collision approximation model that accounted for the interactions between wafers and the ions and neutrals produced by the PLAD implanter. MEIS spectra were<br/>analyzed to extract elemental concentration depth profiles using POWERMEIS guided by the outputs of the TRIDYN model. The input fluxes of the TRIDYN model were calibrated such that the predicted TRIDYN and MEIS profiles were self-consistent. Combining the different analysis techniques and considering elemental concentrations alongside a TRIDYN model enabled magnitudes of ion and neutral fluxes of Si, As, and H to be proposed, and the relative importance of direct implantation and ion beam mixing during the PLAD implant to be revealed. This, in turn, led to proposals for the sources of the ion and neutral species, the importance of Si neutrals originating from the plasma chamber over those originating from the Si bulk in the “deposited” layer being of particular interest. Following the evolution of the as-implanted profiles through the wet clean and anneal steps gave insights into how the PLAD implant affected the results of the full process flow.