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20192026
most citedImpact of a minority relativistic electron tail interacting with a thermal plasma containing high-atomic-number impurities

13 citations · 25 across the 9 of their papers we have counts for

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Showing physics.plasm-phShow all

7 papers · 1 filter

physics.plasm-ph2026

Hybrid collisional-radiative modeling for high-fidelity atomic kinetics

Prashant Sharma, Christopher J. Fontes, Mark Zammit +3

The fidelity of collisional-radiative (CR) models is critical for advancing our understanding of radiative properties and ionization balance in fusion plasmas. In this work, we pre…

physics.plasm-ph2025

A Runaway Electron Avalanche Surrogate for Partially Ionized Plasmas

Jonathan S. Arnaud, Xian-Zhu Tang, Christopher J. McDevitt

A physics-constrained deep learning surrogate that predicts the exponential ``avalanche'' growth rate of runaway electrons (REs) for a plasma containing partially ionized impuritie…

physics.plasm-ph2025

Aligning Thermal and Current Quenches with a High Density Low-Z Injection

Jason Hamilton, Luis Chacon, Giannis Keramidas +1

The conventional approach for thermal quench mitigation in a tokamak disruption is through a high-Z impurity injection that radiates away the plasma's thermal energy before it reac…

physics.plasm-ph2024★ 1 cited

An Efficient Surrogate Model of Secondary Electron Formation and Evolution

Christopher J. McDevitt, Jonathan Arnaud, Xian-Zhu Tang

This work extends the adjoint-deep learning framework for runaway electron (RE) evolution developed in Ref. [C. McDevitt et al., A physics-constrained deep learning treatment of ru…

physics.plasm-ph2024

A Physics-Constrained Deep Learning Treatment of Runaway Electron Dynamics

Christopher J. McDevitt, Jonathan Arnaud, Xian-Zhu Tang

An adjoint formulation leveraging a physics-informed neural network (PINN) is employed to advance the density moment of a runaway electron (RE) distribution forward in time. A dist…

physics.plasm-ph2024★ 10 cited

A Physics-Informed Deep Learning Description of Knudsen Layer Reactivity Reduction

Christopher J. McDevitt, Xian-Zhu Tang

A physics-informed neural network (PINN) is used to evaluate the fast ion distribution in the hot spot of an inertial confinement fusion target. The use of tailored input and outpu…

physics.plasm-ph2019★ 13 cited

Impact of a minority relativistic electron tail interacting with a thermal plasma containing high-atomic-number impurities

Nathan A. Garland, Hyun-Kyung Chung, Christopher J. Fontes +6

A minority relativistic electron component can arise in both laboratory and naturally-occurring plasmas. In the presence of high-atomic-number ion species, the ion charge state dis…