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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Byggmästar, Jesper
University of Helsinki
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2024Understanding the RBS/c spectra of irradiated tungsten : A computational study
- 2024Understanding the RBS/c spectra of irradiated tungsten
- 2024Solubility of Hydrogen in a WMoTaNbV High-Entropy Alloycitations
- 2024Nanoindentation of tungsten : From interatomic potentials to dislocation plasticity mechanismscitations
- 2024Interatomic force fields for zirconium based on the embedded atom method and the tabulated Gaussian Approximation Potential
- 2023Nanoindentation of tungstencitations
- 2023Simple machine-learned interatomic potentials for complex alloyscitations
- 2023Self-ion irradiation of high purity ironcitations
- 2023Comprehensive structural changes in nanoscale-deformed silicon modelled with an integrated atomic potentialcitations
- 2022Simple machine-learned interatomic potentials for complex alloyscitations
- 2021Modeling refractory high-entropy alloys with efficient machine-learned interatomic potentialscitations
- 2021Modeling refractory high-entropy alloys with efficient machine-learned interatomic potentials : Defects and segregationcitations
- 2021Machine-learning interatomic potential for W-Mo alloyscitations
- 2020Insights into the primary radiation damage of silicon by a machine learning interatomic potentialcitations
- 2019Cascade overlap with vacancy-type defects in Fecitations
- 2018Defect structures and statistics in overlapping cascade damage in fusion-relevant bcc metalscitations
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article
Understanding the RBS/c spectra of irradiated tungsten
Abstract
<p>Understanding and identifying the defect structure of irradiated materials is of utmost importance to understand the properties of the material. Many experimental techniques exist to detect defects, one of them is Rutherford Backscattering Spectroscopy in channeling mode. This method can reveal the disorder created by defects as a function of depth. However, in order to understand the underlying defect structure resulting in the measured disorder, we need to understand how different defect morphologies affect the experimental signal. In this article we computationally investigate how all commonly found irradiation-induced defect structures in tungsten affect the signal. We found that open volume defects, vacancies and voids, show practically no yield, whereas the interstitials and dislocation loops show significant yields. We was also found that dislocation loop orientation with respect to the RBS/c channeling direction affected the results significantly, where some loops became almost invisible.</p>