A Fully Electromagnetic Hybrid PIC-Fluid Model for Predictive Fusion Neutron Yield in Dense Plasma Focus
Yinjian Zhao, Zhe Liu, Qiang Sun, Qianhong Zhou, Guangrui Sun

TL;DR
This paper introduces a fully electromagnetic hybrid simulation model combining PIC and fluid approaches to accurately predict fusion neutron yield in Dense Plasma Focus devices.
Contribution
It develops a novel simulation framework that self-consistently models kinetic ions, electromagnetic fields, and plasma dynamics for DPF neutron yield prediction.
Findings
Simulated ion density, temperature, and electric fields match experimental sheath formation.
Outer sheath front position agrees within 10% of kinetic benchmarks.
Predicted neutron yield is 0.296e7, aligning with kinetic results and surpassing previous hybrid models.
Abstract
While magnetic confinement fusion (MCF) and inertial confinement fusion (ICF) remain the primary routes toward controlled fusion, progress is still constrained by energy loss, plasma instabilities, and the cost and complexity of large-scale facilities. The Dense Plasma Focus (DPF) device presents a compact, pulsed-power-driven alternative for producing fusion-relevant conditions and neutron emissions. However, the quantitative prediction of neutron yield in DPF devices poses a significant numerical challenge, primarily due to the imperative of self-consistently resolving kinetic ion behavior, electromagnetic energy coupling, and vacuum field evolution. This complexity often impedes a definitive understanding of the underlying neutron production mechanisms. To address this, we develop a fully electromagnetic hybrid simulation framework: ions are advanced kinetically with…
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