The determination of scattering cross-sections for non-equilibrium electrons in gaseous and liquid environments using deep learning
Muccignat, Dale (2024) The determination of scattering cross-sections for non-equilibrium electrons in gaseous and liquid environments using deep learning. PhD thesis, James Cook University.
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Abstract
Dale Muccignat investigated new methods to determine electron scattering mechanics through complex gases and liquids. He helped design and conduct a new electron-liquid scattering experiment and developed a new machine learning technique that he used develop a complete electron scattering cross-section set for HFO1234ze(E), a greenhouse friendly high voltage insulator.
| Item ID: | 94036 |
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| Item Type: | Thesis (PhD) |
| Keywords: | scattering cross-sections, non-equilibrium electrons, gaseous environments, liquid environments, deep learning |
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| Copyright Information: | Copyright © 2024 Dale Muccignat |
| Additional Information: | Three publications arising from this thesis are stored in ResearchOnline@JCU, at time of processing. Please see the Related URLS. The publications are: [Chapter 2] Muccignat, Dale L., Stokes, Peter W., Cocks, Daniel G., Gascooke, Jason R., Jones, Darryl B., Brunger, Michael J., and White, Ronald D. (2022) Simulating the Feasibility of Using Liquid Micro-Jets for Determining Electron–Liquid Scattering Cross-Sections. International Journal of Molecular Sciences, 23 (6). 3354. [Chapter 4] Muccignat, Dale L., Boyle, Gregory G., Garland, Nathan A., Stokes, Peter W., and White, Ronald D. (2024) An iterative deep learning procedure for determining electron scattering cross-sections from transport coefficients. Machine Learning: Science and Technology, 5. 015047. [Chapter 5] Garland, N.A., Muccignat, D.L., Boyle, G.J., and White, R.D. (2024) Robust approximation rules for critical electric field of dielectric gas mixtures. Journal of Physics D: applied physics, 57. 245202. |
| Date Deposited: | 14 Sep 2026 23:45 |
| FoR Codes: | 51 PHYSICAL SCIENCES > 5106 Nuclear and plasma physics > 510699 Nuclear and plasma physics not elsewhere classified @ 100% |
| SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280120 Expanding knowledge in the physical sciences @ 100% |
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