Authors :
Ravish Sharma; Komal Upadhyay; Salauni Chaudhary; Karishma Verma
Volume/Issue :
Volume 10 - 2025, Issue 7 - July
Google Scholar :
https://tinyurl.com/4tdeuad4
Scribd :
https://tinyurl.com/a4d87dvx
DOI :
https://doi.org/10.38124/ijisrt/25jul927
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Abstract :
This study presents a comprehensive theoretical investigation into ion acceleration mechanisms within magnetized
plasma jets using a relativistic multi-fluid framework. The model integrates the Vlasov-Maxwell system with relativistic ion-
fluid dynamics to capture the collective behavior of charged particles in high-energy plasma flows. Employing the cold
plasma approximation under a steady-state magnetized configuration, we analytically derive governing equations and
validate them. Emphasis is placed on the influence of magnetic field topology, charge density gradients, and relativistic
corrections on ion acceleration profiles. The results reveal significant enhancements in plasma thrust and wave-particle
coupling dynamics, with implications for advanced space propulsion, astrophysical jet modeling, and high-altitude drone
applications. Our approach bridges classical plasma fluid theory with advanced predictive modeling, offering a robust
framework for predicting and optimizing plasma jet behavior in relativistic regimes.
Keywords :
Relativistic Plasma Jets, Ion Acceleration Mechanism, Multi-Fluid Plasma Model, Magnetized Plasma Dynamics, Plasma Propulsion Systems, Nonlinear Wave Propagation, Physics-Informed Neural Networks (PINNs), Astrophysical Plasma Flows, Cold Plasma Approximation, Plasma Simulation.
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This study presents a comprehensive theoretical investigation into ion acceleration mechanisms within magnetized
plasma jets using a relativistic multi-fluid framework. The model integrates the Vlasov-Maxwell system with relativistic ion-
fluid dynamics to capture the collective behavior of charged particles in high-energy plasma flows. Employing the cold
plasma approximation under a steady-state magnetized configuration, we analytically derive governing equations and
validate them. Emphasis is placed on the influence of magnetic field topology, charge density gradients, and relativistic
corrections on ion acceleration profiles. The results reveal significant enhancements in plasma thrust and wave-particle
coupling dynamics, with implications for advanced space propulsion, astrophysical jet modeling, and high-altitude drone
applications. Our approach bridges classical plasma fluid theory with advanced predictive modeling, offering a robust
framework for predicting and optimizing plasma jet behavior in relativistic regimes.
Keywords :
Relativistic Plasma Jets, Ion Acceleration Mechanism, Multi-Fluid Plasma Model, Magnetized Plasma Dynamics, Plasma Propulsion Systems, Nonlinear Wave Propagation, Physics-Informed Neural Networks (PINNs), Astrophysical Plasma Flows, Cold Plasma Approximation, Plasma Simulation.