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J. Tarus

Researcher at University of Helsinki

Publications -  14
Citations -  965

J. Tarus is an academic researcher from University of Helsinki. The author has contributed to research in topics: Cluster (physics) & Irradiation. The author has an hindex of 9, co-authored 14 publications receiving 899 citations. Previous affiliations of J. Tarus include Sapienza University of Rome.

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Defect production in collision cascades in elemental semiconductors and fcc metals

TL;DR: In this article, a comparative molecular dynamics simulation study of collision cascades in two elemental semiconductors and five fcc metals is performed to elucidate how different material characteristics affect primary defect production during ion irradiation.
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Suppression of carbon erosion by hydrogen shielding during high-flux hydrogen bombardment

TL;DR: Using molecular dynamics computer simulations, the authors showed that the erosion of carbon by intensive hydrogen bombardment has been recently shown to decrease sharply at very high fluxes ( ;10 ions/cm s).
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Mechanism of electron-irradiation-induced recrystallization in Si

TL;DR: In this paper, it has been shown that electron irradiation can recrystallize amorphous zones in semiconductors even at very low temperatures and even when the electron beam energy is so low that it cannot induce atomic displacements by ballistic collisions.
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Surface Defects and Bulk Defect Migration Produced by Ion Bombardment of Si(001)

TL;DR: In this paper, a variable-temperature scanning tunneling microscopy is used to characterize surface defects created by 4.5 keV He ion bombardment of Si(001) at 80--294 K; surface defects are created directly by ion bombardment and by diffusion of bulk defects to the surface.
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Effect of surface on defect creation by self-ion bombardment of Si(001)

TL;DR: In this article, the authors studied defect formation and defect distribution in silicon under low energy (25\char21{}800 eV) self-bombardment of the Si(001) surface and applied the classical molecular dynamics technique and collected statistically significant averages to detect defect production trends in the energy dependence.