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Experimental study and thermal spike modeling of sputtering in SiO 2 thin films under MeV Au q + heavy ion irradiation

The sputtering of silicon dioxide (SiO 2 /Si) thin films deposited onto silicon substrates and irradiated by swift Au q + heavy ions ( q  = +4 to +9) has been investigated both by experiment and via numerical modeling by varying the kinetic energy from 10 to 40 MeV. The induced sputtering yields wer...

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Bibliographic Details
Published in:Surface and interface analysis 2021-09, Vol.53 (9), p.737-746
Main Authors: Boubir, Abir, Mammeri, Ster, Dib, Amel, Ammi, Hakim, Msimanga, Mandla, Bouldjedri, Abdelhamid, Matshali, Christopher, Mlungisi, Nkosi
Format: Article
Language:English
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Summary:The sputtering of silicon dioxide (SiO 2 /Si) thin films deposited onto silicon substrates and irradiated by swift Au q + heavy ions ( q  = +4 to +9) has been investigated both by experiment and via numerical modeling by varying the kinetic energy from 10 to 40 MeV. The induced sputtering yields were determined experimentally via the Rutherford backscattering spectrometry (RBS) technique using a 2‐MeV He + ion beam. The obtained experimental results were first plotted versus the target electronic stopping power together with previous data available for the same projectile‐target system at high kinetic energies, indicating increased sputtering yields with increasing electronic energy loss. Then, the whole data were compared with numerical sputtering yield values derived both from the inelastic thermal spike model and the SRIM‐2013 simulation code by including, respectively, nonlinear elastic spikes and linear elastic collision cascades. A good agreement was observed between the measured sputtering yield data and i‐TS predicted values over higher incident energies used by using refined parameters of the ion slowing down with reduced thermophysical properties of the SiO 2 thin film. Finally, the synergy between electronic and nuclear energy loss processes inducing sputtering at low incident energies was discussed through the comparison between experimental and numerical yield data.
ISSN:0142-2421
1096-9918
DOI:10.1002/sia.6973