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We use physics-informed machine learning to enhance confinement in pulsed-power electric propulsion schemes.
Strongly coupled systems are physical systems where governing equations and engineering designs have many coupled forces, interacting bodies, and/or degrees of freedom and thus are difficult to understand.
In our lab at Oregon State University, we use machine learning and optimization along with exciting experiments to tackle problems related to plasma physics, nuclear fusion, optical computing, and electric propulsion technology.
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We use physics-informed machine learning to enhance confinement in pulsed-power electric propulsion schemes.
We use data from tokamak fusion reactors like DIII-D (pictured here, Walker, ML et al.) to predict and mitigate turbulent disruption events.
Via in-situ optimization, we can create plasma metamaterials that can carry out optical computing operations.