Zobrazeno 1 - 10
of 131
pro vyhledávání: '"White, Ronald D"'
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:
Olsen, Alex, Konovalov, Dmitry A., Philippa, Bronson, Ridd, Peter, Wood, Jake C., Johns, Jamie, Banks, Wesley, Girgenti, Benjamin, Kenny, Owen, Whinney, James, Calvert, Brendan, Azghadi, Mostafa Rahimi, White, Ronald D.
Publikováno v:
Sci.Rep. 9, 2058 (2019)
Robotic weed control has seen increased research of late with its potential for boosting productivity in agriculture. Majority of works focus on developing robotics for croplands, ignoring the weed management problems facing rangeland stock farmers.
Externí odkaz:
http://arxiv.org/abs/1810.05726
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
Publikováno v:
Aquaculture Research; 10/15/2024, Vol. 2024, p1-10, 10p
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