74 citations · 166 across the 6 of their papers we have counts for
6 papers
Toward a complete and comprehensive cross section database for electron scattering from NO using machine learning
Peter W. Stokes, Ronald D. White, Laurence Campbell +1
We review experimental and theoretical cross sections for electron scattering in nitric oxide (NO) and form a comprehensive set of plausible cross sections. To assess the accuracy…
Self-consistent electron-THF cross sections derived using data-driven swarm analysis with a neural network model
Peter W. Stokes, Madalyn J. E. Casey, Daniel G. Cocks +4
We present a set of self-consistent cross sections for electron transport in gaseous tetrahydrofuran (THF), that refines the set published in our previous study [J. de Urquijo et a…
Determining cross sections from transport coefficients using deep neural networks
Peter W. Stokes, Daniel G. Cocks, Michael J. Brunger +1
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 some…
Fluctuation capture in non-polar gases and liquids
D. G. Cocks, R. D. White
We present a new model to identify natural fluctuations in fluids, allowing us to describe localization phenomena in the transport of electrons, positrons and positronium through n…
A multi-term solution of the space-time Boltzmann equation for electrons in gaseous and liquid Argon
G. J. Boyle, D. G. Cocks, W. J. Tattersall +2
In a recent paper [1] the scattering and transport of excess electrons in liquid argon in the hydrodynamic regime was investigated, generalizing the seminal works of Lekner and Coh…
High order fluid model for streamer discharges: I. Derivation of model and transport data
S. Dujko, A. H. Markosyan, R. D. White +1
Streamer discharges pose basic problems in plasma physics, as they are very transient, far from equilibrium and have high ionization density gradients; they appear in diverse areas…