13 citations · 25 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
LiLaN: A Linear Latent Network as the Solution Operator for Real-Time Solutions to Stiff Nonlinear Ordinary Differential Equations
William Cole Nockolds, C. G. Krishnanunni, Tan Bui-Thanh +1
Solving stiff ordinary differential equations (StODEs) requires sophisticated numerical solvers, which are often computationally expensive. In general, traditional explicit time in…
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…
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…
An accurate SUPG-stabilized continuous Galerkin discretization for anisotropic heat flux in magnetic confinement fusion
Golo A. Wimmer, Ben S. Southworth, Koki Sagiyama +1
We present a novel spatial discretization for the anisotropic heat conduction equation, aimed at improved accuracy at the high levels of anisotropy seen in a magnetized plasma, for…
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…
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…