Backscattering

Eckstein, W.

doi:10.1007/978-3-642-73513-4_11

Cited by 3 publications

(4 citation statements)

References 151 publications

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“…This agrees with the values of binding energies of the surface and bulk atoms and the results [48,50]. The boiling points of the components were also simulated according to [48,51]…”

Section: Melting and Boiling Points Of The Cluster Mono-component Partssupporting

confidence: 84%

Fusion Features of Monocomponent Parts in Janus-Like Nanoscale Clusters Under Impacts of Low− and Ultra−Low−Energy Ar13 and Ar Projectiles

Shyrokorad,

Kornich,

Goncharov

et al. 2023

Preprint

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Molecular dynamics simulation of metastable Janus-like Ni-Al, Cu-Bi and Cu-Au clusters with 195 atoms of each component is performed for 200 ps after impacts of Ar13 and Ar ions with different cases of initial energies from 25 to 300 eV. The boiling state of the components is achieved either at a high negative heat of mixing (Al, Ni-Al) or at a low boiling point of at least one of the components (Bi, Cu-Bi), provided that the Ar13 projectiles have the initial energy from 200 eV. In other cases, the Ni-Al cluster is also in a molten state, while the Cu-Bi cluster, as well as the Cu-Au cluster in all impact cases, may be in a molten state or have an atomic structure of varying degrees of regularity of one/both component(s). The molten clusters form spatial core-shell distributions of the components, while in other cases different degrees and forms of their overlapping and eccentricity are possible during the time of simulation.

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“…This agrees with the values of binding energies of the surface and bulk atoms and the results [48,50]. The boiling points of the components were also simulated according to [48,51]…”

Section: Melting and Boiling Points Of The Cluster Mono-component Partssupporting

confidence: 84%

Fusion Features of Monocomponent Parts in Janus-Like Nanoscale Clusters Under Impacts of Low− and Ultra−Low−Energy Ar13 and Ar Projectiles

Shyrokorad,

Kornich,

Goncharov

et al. 2023

Preprint

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“…BCA cascades are calculated using SDTrimSP [23], the slowing down of the projectile is modelled as described in [24] with no consideration of crystal structure by a series of random collisions and a continuous interaction with electrons. No free surface is included.…”

Section: Computational Methods Of Bca and MD Cascadesmentioning

confidence: 99%

A model of defect cluster creation in fragmented cascades in metals based on morphological analysis

Backer

Domain

Becquart

et al. 2018

J. Phys.: Condens. Matter

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The impacts of ions and neutrons in metals cause cascades of atomic collisions that expand and shrink, leaving microstructure defect debris, i.e. interstitial or vacancy clusters or loops of different sizes. In De Backer et al (2016 Europhys. Lett. 115 26001), we described a method to detect the first morphological transition, i.e. the cascade fragmentation in subcascades, and a model of primary damage combining the binary collision approximation and molecular dynamics (MD). In this paper including W, Fe, Be, Zr and 20 other metals, we demonstrate that the fragmentation energy increases with the atomic number and decreases with the atomic density following a unique power law. Above the fragmentation energy, the cascade morphology can be characterized by the cross pair correlation functions of the multitype point pattern formed by the subcascades. We derive the numbers of pairs of subcascades and observed that they follow broken power laws. The energy where the power law breaks indicates the second morphological transition when cascades are formed by branches decorated by chaplets of small subcascades. The subcascade interaction is introduced in our model of primary damage by adding pairwise terms. Using statistics obtained on hundreds of MD cascades in Fe, we demonstrate that the interaction of subcascades increases the proportion of large clusters in the damage created by high energy cascades. Finally, we predict the primary damage of 500 keV Fe ion in Fe and obtain cluster size distributions when large statistics of MD cascades are not feasible.

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“…This process yields the so-called rough samples. HNO 3 and HF were used as the etching medium. The smooth samples were additionally polished mechanically in several steps by using FEPA P silicon carbide paper (FEPA, Paris, France) P800 (21.8 µm ± 1 µm), P1200 (15.3 µm ± 1 µm), P2500 (8.5 µm ± 1 µm), P4000 (6 µm) followed by a diamond suspension with grains of 3 µm size, and a diamond suspension with 1 µm grains.…”

Section: Sample Preparationmentioning

confidence: 99%

“…For reflected and sputtered particles, the angular distribution of particles exiting the solid after the interaction is of key importance for successive interaction processes which are responsible for the particle transport into the narrow gaps. The kinematics of the interaction between a projectile and target atoms is described by successive binary collisions within the so-called binary collision approximation (BCA) [3]. The interaction in a collision is determined by the interaction potential which is typically chosen as a screened Coulomb potential [4].…”

Section: Introductionmentioning

confidence: 99%

Impact of Surface Roughness on Ion-Surface Interactions Studied with Energetic Carbon Ions 13C+ on Tungsten Surfaces

Hellwig¹,

Köppen²,

Hiller

et al. 2019

Condensed Matter

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The effect of surface roughness on angular distributions of reflected and physically sputtered particles is investigated by ultra-high vacuum (UHV) ion-surface interaction experiments. For this purpose, a smooth (R a = 5.9 nm) and a rough (R a = 20.5 nm) tungsten (W) surface were bombarded with carbon ions 13C+ under incidence angles of 30 ∘ and 80 ∘ . Reflected and sputtered particles were collected on foils to measure the resulting angular distribution as a function of surface morphology. For the qualitative and quantitative analysis, secondary ion mass spectrometry (SIMS) and nuclear reaction analysis (NRA) were performed. Simulations of ion-surface interactions were carried out with the SDTrimSP (Static Dynamic Transport of Ions in Matter Sputtering) code. For rough surfaces, a special routine was derived and implemented. Experimental as well as calculated results prove a significant impact of surface roughness on the angular distribution of reflected and sputtered particles. It is demonstrated that the effective sticking of C on W is a function of the angle of incidence and surface morphology. It is found that the predominant ion-surface interaction process changes with fluence.

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Backscattering

Cited by 3 publications

References 151 publications

Fusion Features of Monocomponent Parts in Janus-Like Nanoscale Clusters Under Impacts of Low− and Ultra−Low−Energy Ar13 and Ar Projectiles

Fusion Features of Monocomponent Parts in Janus-Like Nanoscale Clusters Under Impacts of Low− and Ultra−Low−Energy Ar13 and Ar Projectiles

A model of defect cluster creation in fragmented cascades in metals based on morphological analysis

Impact of Surface Roughness on Ion-Surface Interactions Studied with Energetic Carbon Ions 13C+ on Tungsten Surfaces

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