2023
DOI: 10.1088/1361-6587/ad1008
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Enhancement of fusion reactivity under non-Maxwellian distributions: effects of drift-ring-beam, slowing-down, and kappa super-thermal distributions

Haozhe Kong,
Huasheng Xie,
Bing Liu
et al.

Abstract: Non-Maxwellian distributions of particles are commonly observed in fusion studies, especially for magnetic confinement fusion plasmas. The particle distribution has a direct effect on fusion reactivity, which is the focus of this study. We investigate the effects of three types of non-Maxwellian distributions, namely drift-ring-beam, slowing-down, and kappa super-thermal distributions, on the fusion reactivities of D-T (Deuterium-Trillium) and p-B11 (proton-Boron) using a newly developed program, where the enh… Show more

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Cited by 5 publications
(5 citation statements)
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“…In our previous studies (see [9,10]), the fusion reactivity enhancement factors (defined in equation ( 11)) for several typical non-thermal distributions mainly fell within the range of 0.5-1.5. While we were able to calculate the fusion reactivity for arbitrary ion velocity distributions using a simple and fast approach (see [15]), it did not provide information about which distribution could yield the maximum fusion reactivity or what the upper limit of the enhancement factor might be.…”
Section: Introductionmentioning
confidence: 86%
See 4 more Smart Citations
“…In our previous studies (see [9,10]), the fusion reactivity enhancement factors (defined in equation ( 11)) for several typical non-thermal distributions mainly fell within the range of 0.5-1.5. While we were able to calculate the fusion reactivity for arbitrary ion velocity distributions using a simple and fast approach (see [15]), it did not provide information about which distribution could yield the maximum fusion reactivity or what the upper limit of the enhancement factor might be.…”
Section: Introductionmentioning
confidence: 86%
“…We can utilize the Lagrange multiplier method to determine the maximum of equation ( 9) while adhering to the constraint given in equation (10). We define the Lagrangian as follows: which leads to the requirement:…”
Section: Theoretical Maximum Via Lagrange Multipler Methodsmentioning
confidence: 99%
See 3 more Smart Citations