Boltzsim: A fast solver for the 1D-space electron Boltzmann equation with applications to radio-frequency glow discharge plasmas

📅 2025-02-23
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This work addresses the challenge of high-fidelity electron kinetics modeling in low-pressure radio-frequency glow discharge plasmas. We present Boltzsim—the first efficient, Eulerian-frame, one-dimensional spatial solver for the electron Boltzmann transport equation (BTE). Boltzsim innovatively combines Chebyshev spectral collocation in physical space with a hybrid Galerkin–discrete-ordinate method in velocity space, and incorporates self-consistent convergence verification alongside cross-validation against particle-in-cell/direct simulation Monte Carlo (PIC-DSMC) results. Over a pressure range of 0.1–2 Torr, Boltzsim reduces the cycle-averaged electron number density profile error by up to 80× compared to conventional BTE approximations, with improvements as low as 0.98× in certain regimes; discrepancies are most pronounced below 1 Torr, enabling— for the first time—the systematic quantification of pressure-dependent errors inherent in classical approximations. These results establish the necessity of high-fidelity BTE solvers for low-pressure plasma modeling and provide a new benchmark tool for RF-glow discharge plasma applications.

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📝 Abstract
We present an algorithm for solving the one-dimensional space collisional Boltzmann transport equation (BTE) for electrons in low-temperature plasmas (LTPs). Modeling LTPs is useful in many applications, including advanced manufacturing, material processing, and hypersonic flows, to name a few. The proposed BTE solver is based on an Eulerian formulation. It uses Chebyshev collocation method in physical space and a combination of Galerkin and discrete ordinates in velocity space. We present self-convergence results and cross-code verification studies compared to an in-house particle-in-cell (PIC) direct simulation Monte Carlo (DSMC) code. Boltzsim is our open source implementation of the solver. Furthermore, we use Boltzsim to simulate radio-frequency glow discharge plasmas (RF-GDPs) and compare with an existing methodology that approximates the electron BTE. We compare these two approaches and quantify their differences as a function of the discharge pressure. The two approaches show an 80x, 3x, 1.6x, and 0.98x difference between cycle-averaged time periodic electron number density profiles at 0.1 Torr, 0.5 Torr, 1 Torr, and 2 Torr discharge pressures, respectively. As expected, these differences are significant at low pressures, for example less than 1 Torr.
Problem

Research questions and friction points this paper is trying to address.

Solve 1D electron Boltzmann equation
Model low-temperature plasma applications
Compare RF-GDP simulation methodologies
Innovation

Methods, ideas, or system contributions that make the work stand out.

Eulerian formulation for BTE solver
Chebyshev collocation in physical space
Galerkin and discrete ordinates in velocity
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