Strongly Reduced Penetration of Atomic Deuterium in Radiation-Damaged Tungsten

Hoen, M. H. J. 't; Mayer, M.; Kleyn, Aart W.; Emmichoven, P.A. Zeijlmans van

doi:10.1103/physrevlett.111.225001

Cited by 24 publications

(20 citation statements)

References 26 publications

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“…On the other hand, experimental results 37 suggest that for ion energy below 5 eV/H, typical of detached plasma as the one treated in the previous section, the surface process can be important and limits the uptake of hydrogen, i.e. the adsorption on the surface and the further absorption from surface to bulk could be the limiting process for the growth of during such exposure.…”

Section: Resultsmentioning

confidence: 92%

Parametric study of hydrogenic inventory in the ITER divertor based on machine learning

Hodille

Mougenot

Temmerman

et al. 2020

Sci Rep

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A parametric study is performed with the 2D FESTIM code for the ITER monoblock geometry. The influence of the monoblock surface temperature, the incident ion energy and particle flux on the monoblock hydrogen inventory is investigated. The simulated data is analysed with a Gaussian regression process and an inventory map as a function of ion energy and incident flux is given. Using this inventory map, the hydrogen inventory in the divertor is easily derived for any type of scenario. Here, the case of a detached ITER scenario with inputs from the SOLPS code is presented. For this scenario, the hydrogen inventory per monoblock is highly dependent of surface temperature and ranges from $$10^{18}$$ 10 18 to $$6 \times 10^{19}$$ 6 × 10 19 H after a $$10^{7}$$ 10 7 s exposure. The inventory evolves as a power law of time and is lower at strike points where the surface temperature is high. Hydrogen inventory in the whole divertor after a $$10^{7}$$ 10 7 s exposure is estimated at approximately 8 g.

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Section: Resultsmentioning

confidence: 92%

Parametric study of hydrogenic inventory in the ITER divertor based on machine learning

Hodille

Mougenot

Temmerman

et al. 2020

Sci Rep

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“…This requires a special detector geometry with normal incidence and grazing exit angle, resulting in reaction angles close to 100 • [1]. The analyzed depth, however, is limited to a near surface layer of several hundred nanometers: For many applications, such as the study of hydrogen isotope diffusion in metals [7] [8] or the determination of the amount of trapped deuterium in wall materials of nuclear fusion experiments [9], this shallow analyzed depth range is largely insufficient.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the depth resolution for deuterium depth profiling up to large depths

Wielunska

Mayer

Schwarz-Selinger

2016

Nuclear Instruments and Methods in Physics Research Section B:

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The depth resolution of deuterium depth profiling by the nuclear reaction D(3 He,p)α is studied theoretically and experimentally. General kinematic considerations are presented which show that the depth resolution for deuterium depth profiling using the nuclear reaction D(3 He,p)α is best at reaction angles of 0 • and 180 • at all incident energies below 9 MeV and for all depths and materials. In order to confirm this theoretical prediction the depth resolution was determined experimentally with a conventional detector at 135 • and an annular detector at 175.9 •. Deuterium containing thin films buried under different metal cover layers of aluminium, molybdenum and tungsten with thicknesses in the range of 0.5-11 µm served as samples. For all materials and depths an improvement of the depth resolution with the detector at 175.9 • is achieved. For tungsten as cover layer a better depth resolution up to a factor of 18 was determined. Good agreement between the experimental results and the simulations for the depth resolution is demonstrated.

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“…Two different damage doses of 1 and 10 dpa were obtained using implantation fluences of 2.88 × 10 14 and 2.88 × 10 15 ions/cm 2 under an ion flux of approximately 2 × 10 12 ions/cm 2 s –1 . The ion fluence to damage dose conversion was done by using the SRIM (Stopping and Range of Ions in Matter) 2013 Monte Carlo code ( 36 ) with the full cascade mode using the threshold W displacement energy of 90 eV ( 37 ). The displacement levels quoted here do not represent the final damage to W since thermal effects are not considered in the SRIM calculations, which, however, does not affect our study reported here.…”

Section: Methodsmentioning

confidence: 99%

Visualization of ultrafast melting initiated from radiation-driven defects in solids

Murphy

Chen

et al. 2019

Sci. Adv.

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Materials exposed to extreme radiation environments such as fusion reactors or deep spaces accumulate substantial defect populations that alter their properties and subsequently the melting behavior. The quantitative characterization requires visualization with femtosecond temporal resolution on the atomic-scale length through measurements of the pair correlation function. Here, we demonstrate experimentally that electron diffraction at relativistic energies opens a new approach for studies of melting kinetics. Our measurements in radiation-damaged tungsten show that the tungsten target subjected to 10 displacements per atom of damage undergoes a melting transition below the melting temperature. Two-temperature molecular dynamics simulations reveal the crucial role of defect clusters, particularly nanovoids, in driving the ultrafast melting process observed on the time scale of less than 10 ps. These results provide new atomic-level insights into the ultrafast melting processes of materials in extreme environments.

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Strongly Reduced Penetration of Atomic Deuterium in Radiation-Damaged Tungsten

Abstract: Link to publication Citation for published version (APA):'t Hoen, M. H.

Cited by 24 publications

References 26 publications

Parametric study of hydrogenic inventory in the ITER divertor based on machine learning

Parametric study of hydrogenic inventory in the ITER divertor based on machine learning

Optimization of the depth resolution for deuterium depth profiling up to large depths

Visualization of ultrafast melting initiated from radiation-driven defects in solids

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