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
Doctoral student at the University of Colorado Boulder, Smead Department of Aerospace Engineering Sciences. Research 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.