Hall Thruster Design Optimization
March 1, 2024
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1 min read
Personal project combining plasma physics simulation with machine learning-guided design optimization.
- Simulated 1D Hall thruster discharge and collected performance data across magnetic profile variations
- Trained an adaptive neural surrogate model of the discharge dynamics
- Jointly optimized thruster geometry and magnetic field profile to maximize efficiency
Authors
Graduate Researcher
Outland is a doctoral student at the University of Colorado Boulder, Smead Department of Aerospace Engineering Sciences. His research is in differential game theory, safe multi-agent systems, and computational astrodynamics — with a focus on algorithms that are tractable enough to run onboard while providing formal guarantees.