DD and DT nuclear fusion optimization algorithm

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Authors: Dong Qian
Cited by: 0

Abstract

An optimization algorithm for pairwise nuclear fusion algorithms with arbitrarily weighted macro-particles is proposed and demonstrated in particle-in-cell (PIC) simulations. Faster computation of the Coulomb collision operator is achieved compared to the classical nuclear fusion algorithm, which can be implemented into the PIC simulation code with marginal efforts. The algorithm is benchmarked in situations with like-particles, D(d,n)3He, unlike-particles, D(t,n)4He, thermonuclear fusion, and the beam-target fusion. It is demonstrated that the CPU time can be significantly reduced without reduction in the simulation accuracy.

Fields of Study & Subjects

Magnetic confinement fusion research Laser-Plasma Interactions and Diagnostics Fusion and Plasma Physics Studies

Publication details

Journal / source
ScienceDB
Publication date
4 February 2026
Language
ZH
Document type
Dataset