Effects of cascade mixing, sputtering and diffusion by high dose light ion irradiation of boron nitride

Pugacheva, T.S.; Jurabekova, F.G.; Valiev, Sergey Kh.

doi:10.1016/s0168-583x(98)00139-6

Cited by 19 publications

(10 citation statements)

References 7 publications

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“…In our simulations, we have also used the binary collision approximation (BCA) code, CASWIN [43], which was modified to account for the required geometry of the embedded nanocrystals. In these simulations, the interaction between the incoming ion and amorphous matrix is calculated using the universal Ziegler-Biersack-Littmark (ZBL) repulsive potential [44].…”

Section: B Simulationmentioning

confidence: 99%

“…8(a) and 8(b), where N = ( 4 3 πr 3 )/V is the number of Ag atoms, V being the average volume of a Ag atom. We also compare this analytical model with the classical BCA code CASWIN [43] implemented for the nanocluster geometry. The BCA approach allows for a much more efficient way of calculating the initial energy deposition profile during ion irradiation than MD, and thus enables us to obtain very good statistics.…”

Section: Analytical Model Of Emissionmentioning

confidence: 99%

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Formation and emission mechanisms of Ag nanoclusters in the Ar matrix assembly cluster source

Zhao

Cao

Palmer

et al. 2017

Phys. Rev. Materials

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In this paper, we study the mechanisms of growth of Ag nanoclusters in a solid Ar matrix and the emission of these nanoclusters from the matrix by a combination of experimental and theoretical methods. The molecular dynamics simulations show that the cluster growth mechanism can be described as "thermal spike-enhanced clustering" in multiple sequential ion impact events. We further show that experimentally observed large sputtered metal clusters cannot be formed by direct sputtering of Ag mixed in the Ar. Instead, we describe the mechanism of emission of the metal nanocluster that, at first, is formed in the cryogenic matrix due to multiple ion impacts, and then is emitted as a result of the simultaneous effects of interface boiling and spring force. We also develop an analytical model describing this size-dependent cluster emission. The model bridges the atomistic simulations and experimental time and length scales, and allows increasing the controllability of fast generation of nanoclusters in experiments with a high production rate.

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Section: B Simulationmentioning

confidence: 99%

Section: Analytical Model Of Emissionmentioning

confidence: 99%

Formation and emission mechanisms of Ag nanoclusters in the Ar matrix assembly cluster source

Zhao

Cao

Palmer

et al. 2017

Phys. Rev. Materials

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“…Finally, we analyze to what accuracy the computationally efficient BCA simulations can be used to simulate antiproton trajectories in thin films. For this purpose, we used the BCA code CASWIN that has been tailored to read in the same electronic stopping files as MDRANGE [25,68]. The good agreement between the MD and BCA results for protons in Fig.…”

Section: F Comparison With Binary Collision Approximationmentioning

confidence: 99%

“…The nuclear stopping power can be calculated by using classical scattering theory [6,7]. To get the spatial description of the pathway of an energetic ion in the material, one can use the binary collision approximation (BCA) [22][23][24][25] or molecular dynamics (MD) ion range simulations [26][27][28]. These computational approaches require the interaction potential between the atoms of the ion lattice as input data [29].…”

Section: Introductionmentioning

confidence: 99%

Nuclear stopping power of antiprotons

et al. 2017

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The slowing down of energetic ions in materials is determined by the nuclear and electronic stopping powers. Both of these have been studied extensively for ordinary-matter ions. For antiprotons, however, there are numerous studies of the electronic stopping power, but none of the nuclear stopping power. Here, we use quantum-chemical methods to calculate interparticle potentials between antiprotons and different atoms, and derive from these the nuclear stopping power of antiprotons in solids. The results show that the antiproton nuclear stopping powers are much stronger than those of protons, and can also be stronger than the electronic stopping power at the lowest energies. The interparticle potentials are also implemented in a molecular dynamics ion range calculation code, which allows us to simulate antiproton transmission through degrader foil materials. Foil transmission simulations carried out at experimentally relevant conditions show that the choice of antiproton-atom interaction model has a large effect on the predicted yield of antiprotons slowed down to low (a few keV) energies.

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“…Monte-Carlo methods were also considered as they have been used for sputter analyses before. [9][10][11][12] However, again, the low energies under consideration for this study introduce uncertainties of the underlying assumptions of such methods, including binary collisions. Thus, though the molecular dynamics method may be more computationally intensive than Monte-Carlo methods, it is expected that the results would be more accurate.…”

Section: Introductionmentioning

confidence: 99%

Calculation of Boron Nitride Sputter Yields Under Low Energy Xenon Ion Bombardment

Yim¹,

Falk²,

Keidar³

et al. 2007

43rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference &Amp;amp; Exhibit

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An accurate description of the sputter yield of boron nitride (BN) from xenon ion bombardment at low energies is needed for improving the prediction capabilities of Hall thruster erosion models and in turn for lifetime prediction models. However, sputter yield data at low (< 300 eV) energies does not exist. The molecular dynamics method is employed to model the sputtering of BN at low energies. The results are compared to existing experimental data at higher energies. A qualitative comparison with a quantumstatistical model is also performed.

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Effects of cascade mixing, sputtering and diffusion by high dose light ion irradiation of boron nitride

Cited by 19 publications

References 7 publications

Formation and emission mechanisms of Ag nanoclusters in the Ar matrix assembly cluster source

Formation and emission mechanisms of Ag nanoclusters in the Ar matrix assembly cluster source

Nuclear stopping power of antiprotons

Calculation of Boron Nitride Sputter Yields Under Low Energy Xenon Ion Bombardment

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