Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Stokes, Peter W."'
We propose improvements to the Artificial Neural Network (ANN) method of determining electron scattering cross-sections from swarm data proposed by coauthors. A limitation inherent to this problem, known as the inverse swarm problem, is the non-uniqu
Externí odkaz:
http://arxiv.org/abs/2311.13170
The generalised Boltzmann equation which treats the combined localised and delocalised nature of transport present in certain materials is extended to accommodate time-dependent fields. In particular, AC fields are shown to be a means to probe the tr
Externí odkaz:
http://arxiv.org/abs/2110.15934
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 and self-consistency of our set, we also review electron swarm transpo
Externí odkaz:
http://arxiv.org/abs/2107.11178
Autor:
Stokes, Peter W., Foster, Sean P., Casey, Madalyn J. E., Cocks, Daniel G., González-Magaña, Olmo, de Urquijo, Jaime, García, Gustavo, Brunger, Michael J., White, Ronald D.
We review experimental and theoretical cross sections for electron transport in $\alpha$-tetrahydrofurfuryl alcohol (THFA) and, in doing so, propose a plausible complete set. To assess the accuracy and self-consistency of our proposed set, we use the
Externí odkaz:
http://arxiv.org/abs/2101.07972
Autor:
Stokes, Peter W., Casey, Madalyn J. E., Cocks, Daniel G., de Urquijo, Jaime, García, Gustavo, Brunger, Michael J., White, Ronald D.
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 al., J. Chem. Phys. 151, 054309 (2019)] by proposing modifications to t
Externí odkaz:
http://arxiv.org/abs/2007.02762
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 cros
Externí odkaz:
http://arxiv.org/abs/1912.05842
Autor:
Stokes, Peter W., Simonović, Ilija, Philippa, Bronson, Cocks, Daniel, Dujko, Saša, White, Ronald D.
We derive third order transport coefficients of skewness for a phase-space kinetic model that considers the processes of scattering collisions, trapping, detrapping and recombination losses. The resulting expression for the skewness tensor provides a
Externí odkaz:
http://arxiv.org/abs/1703.10474
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Phys. Rev. E 95, 042119 (2017)
A generalised phase-space kinetic Boltzmann equation for highly non-equilibrium charged particle transport via localised and delocalised states is used to develop continuity, momentum and energy balance equations, accounting explicitly for scattering
Externí odkaz:
http://arxiv.org/abs/1608.08509
Publikováno v:
Phys. Rev. E 93, 032119 (2016)
We present a general phase-space kinetic model for charged particle transport through combined localised and delocalised states, capable of describing scattering collisions, trapping, detrapping and losses. The model is described by a generalised Bol
Externí odkaz:
http://arxiv.org/abs/1510.01632