2019
DOI: 10.1016/j.ijhydene.2019.09.007
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Concentration dependence of hydrogen diffusion in α-iron from atomistic perspectives

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Cited by 15 publications
(6 citation statements)
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“…To investigate the impact of the H concentrations in the Ni on the interaction between the H and irradiation-induced point defects, the PKA energy was fixed at 5 keV and the irradiation temperature was set at 100 K. The H concentrations considered ranged from 0 to 30,000 appm, corresponding to H atom numbers of 0, 256, 1280, 2560, 5120, and 7680, respectively [ 28 ]. It is common for theoretical simulations to use values larger than the actual situation [ 34 ].…”
Section: Resultsmentioning
confidence: 99%
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“…To investigate the impact of the H concentrations in the Ni on the interaction between the H and irradiation-induced point defects, the PKA energy was fixed at 5 keV and the irradiation temperature was set at 100 K. The H concentrations considered ranged from 0 to 30,000 appm, corresponding to H atom numbers of 0, 256, 1280, 2560, 5120, and 7680, respectively [ 28 ]. It is common for theoretical simulations to use values larger than the actual situation [ 34 ].…”
Section: Resultsmentioning
confidence: 99%
“…As the H concentration ranged from 5000 to 30,000 appm, the number of SIAs gradually decreased at the displacement spike. A previous study [ 28 ] suggested that, at higher H concentrations and lower temperatures, H diffusion promotes cluster formation, leading to a decrease in the H diffusion rate. Figure 2 b illustrates that, during stabilization, the presence of H atoms led to an increase in the total number of surviving defects within the system, indicating an increase in the number of vacancies.…”
Section: Resultsmentioning
confidence: 99%
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“…Zhu and Oda [51] examined the trapping effect of vacancies on hydrogen diffusivity in bcc-Fe and observed a reduction in diffusivity due to defects. Hasan et al [52] studied the influence of concentration dependence on hydrogen diffusion in Fe, revealing that lower concentrations resulted in faster diffusion rates. Additionally, MD simulations were employed to analyze how grain boundaries affect diffusion, elucidating both the trapping effect and blocking effect caused by these boundaries [53,54].…”
Section: Introductionmentioning
confidence: 99%