Determining cross sections from transport coefficients using deep neural networks
We present a neural network for the solution of the inverse swarm problem of deriving cross sections from swarm transport data. To account for the uncertainty inherent to this somewhat ill-posed inverse problem, we train the neural network using cross sections from the LXCat project, paired with associated transport coefficients found by the numerical solution of Boltzmann's equation. The use of experimentally measured and theoretically calculated cross sections for training encourages the...[Show more]
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|Source:||Plasma Sources Science and Technology|
|Stokes_2020_Plasma_Sources_Sci._Technol._29_055009.pdf||2.79 MB||Adobe PDF||Request a copy|
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