Ion implantations of oxide dispersion strengthened steels

Sojak, Stanislav; Veterníková, Jana; Slugeň, V.; Petriska, Martin; Stacho, M.

doi:10.1016/j.nimb.2015.07.074

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…They are important construction materials in nuclear industry [22,23] (particle accelerators, reactor vessels, etc.). That is why they are also subject to radiation hardness studies against ion and neutron irradiation requiring quick and reasonably accurate assessment of ion ranges [24][25][26][27].…”

Section: Discussionmentioning

confidence: 99%

Ranges of protons in biological targets

Pavlovič

Hammerle

2017

Journal of Electrical Engineering

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The paper introduces a simple fitting function for quick assessment of proton ranges in biological targets and human tissues. The function has been found by fitting an extensive data set of Monte Carlo proton ranges obtained with the aid of the SRIM-2013 code. The data has been collected for 28 different targets at 8 energies in the interval from 60 MeV to 220 MeV. The paper shows that at a given kinetic proton-beam energy, the Monte Carlo ranges can be satisfactorily fitted by a power function that depends solely on the target density. This is a great advantage for targets, for which the exact chemical composition is not known, or the mean ionizing potential is not reliably known. The satisfactory fit is meant as the fit that stays within the natural range straggling of the Monte Carlo ranges. In the second step, the energy-scaling yielding a universal fitting formula for proton ranges as a function of proton-beam energy and target density is introduced and discussed. This paper is an extended version of the contribution presented at the APCOM2017 conference.K e y w o r d s: biological targets, proton range, proton therapy, range straggling, SRIM

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Section: Discussionmentioning

confidence: 99%

Ranges of protons in biological targets

Pavlovič

Hammerle

2017

Journal of Electrical Engineering

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“…Interacting with each other, Y and O solutes give rise to various nanoclusters. Along with relatively large ODS particles, these small nanoclusters determine stability of ODS steels . Ab initio modeling of such clusters provides a deep insight into the interactions between impurities in ODS steels …”

Section: Introductionmentioning

confidence: 99%

Ab Initio Modeling of Y and O Solute Atom Interaction in Small Clusters within the bcc Iron Lattice

Mastrikov

Sokolov

Kotomin

et al. 2018

Physica Status Solidi (b)

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Small yttrium and oxygen complexes in the body‐centred cubic (bcc) iron matrix are modeled by performing density functional theory (DFT) calculations. The interaction between Y and O in isolated molecule, rock‐salt crystal is compared with that in Y/O, Y/2O, 2Y/O clusters within the bcc iron matrix. Interaction energies and electron charge redistribution are also analyzed. Among the clusters, the most stable ones are analyzed further. It is shown that chemical bonding in YO molecule and crystal is significantly stronger than in the host matrix and the main interaction in the matrix occurs with nearby Fe atoms.

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