KDMC Simulation for Nuclear Fusion: Analysis and Performance
Published:Dec 29, 2025 16:27
•1 min read
•ArXiv
Analysis
This paper analyzes a kinetic-diffusion Monte Carlo (KDMC) simulation method for modeling neutral particles in nuclear fusion plasma edge simulations. It focuses on the convergence of KDMC and its associated fluid estimation technique, providing theoretical bounds and numerical verification. The study compares KDMC with a fluid-based method and a fully kinetic Monte Carlo method, demonstrating KDMC's superior accuracy and computational efficiency, especially in fusion-relevant scenarios.
Key Takeaways
- •KDMC simulation is a promising method for simulating neutral particles in nuclear fusion.
- •KDMC with fluid estimation offers improved accuracy compared to purely fluid-based methods.
- •KDMC provides significant computational speedup compared to fully kinetic Monte Carlo methods.
- •The paper provides theoretical analysis and numerical verification of KDMC's performance.
Reference
“The algorithm consistently achieves lower error than the fluid-based method, and even one order of magnitude lower in a fusion-relevant test case. Moreover, the algorithm exhibits a significant speedup compared to the reference kinetic MC method.”