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Sandro Solmi

Researcher at National Research Council

Publications -  104
Citations -  2333

Sandro Solmi is an academic researcher from National Research Council. The author has contributed to research in topics: Silicon & Ion implantation. The author has an hindex of 28, co-authored 104 publications receiving 2300 citations.

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Precipitation as the Phenomenon Responsible for the Electrically Inactive Arsenic in Silicon

TL;DR: Mesures par diffraction de rayons X et electriques sur des echantillons diversement dopes par implantation ionique and recuits par laser, apres traitement thermique a 800, 900 and 1000°C.
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Precipitation, aggregation, and diffusion in heavily arsenic-doped silicon.

TL;DR: The results presented in this paper indicate that the inactive As is in the form of clusters, and the link between the clustering phenomenon and the presence of small particles detected by TEM observations is discussed.
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Some aspects of damage annealing in ion-implanted silicon: Discussion in terms of dopant anomalous diffusion

TL;DR: In this paper, the authors show that when the local concentration of the interstitials increases (e.g., as a consequence of an implant made with the same dose, but with a lower energy) defect clustering begins to compete with their recovery, which makes the fraction of interstitial's available for dopant diffusion smaller.
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Electrical Properties and Stability of Supersaturated Phosphorus‐Doped Silicon Layers

TL;DR: In this article, the dependence of electron mobility and electrical resistivity on carrier density was accurately determined by Hall effect and resistivity measurements, and it was observed that electron mobility depends only on the carrier density and is unaffected by the electrically inactive phosphorus, even when present at very high concentrations.
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Transient enhanced diffusion of arsenic in silicon

TL;DR: The transient enhanced diffusion (TED) of As in silicon samples implanted at 35 keV with dose 5×1015 cm−2 has been investigated in the temperature range between 750 and 1030°C by comparing experimental and simulated profiles.