Approximating the nonlinear density dependence of electron transport coefficients and scattering rates across the gas-liquid interface
dc.contributor.author | Garland, N | |
dc.contributor.author | Boyle, G J | |
dc.contributor.author | Cocks, Daniel | |
dc.contributor.author | White, R D | |
dc.date.accessioned | 2020-06-16T01:10:55Z | |
dc.date.issued | 2018 | |
dc.date.updated | 2020-01-12T07:17:50Z | |
dc.description.abstract | This study reviews the neutral density dependence of electron transport in gases and liquids and develops a method to determine the nonlinear medium density dependence of electron transport coefficients and scattering rates required for modeling transport in the vicinity of gas-liquid interfaces. The method has its foundations in Blanc's law for gas-mixtures and adapts the theory of Garland et al (2017 Plasma Sources Sci. Technol. 26) to extract electron transport data across the gas-liquid transition region using known data from the gas and liquid phases only. The method is systematically benchmarked against multi-term Boltzmann equation solutions for Percus-Yevick model liquids. Application to atomic liquids highlights the utility and accuracy of the derived method. | en_AU |
dc.format.mimetype | application/pdf | en_AU |
dc.identifier.issn | 0963-0252 | en_AU |
dc.identifier.uri | http://hdl.handle.net/1885/205165 | |
dc.language.iso | en_AU | en_AU |
dc.publisher | Institute of Physics Publishing | en_AU |
dc.rights | © 2018 IOP Publishing Ltd | en_AU |
dc.source | Plasma Sources Science and Technology | en_AU |
dc.title | Approximating the nonlinear density dependence of electron transport coefficients and scattering rates across the gas-liquid interface | en_AU |
dc.type | Journal article | en_AU |
local.bibliographicCitation.issue | 2 | en_AU |
local.bibliographicCitation.lastpage | 14 | en_AU |
local.bibliographicCitation.startpage | 1 | en_AU |
local.contributor.affiliation | Garland, N, James Cook University | en_AU |
local.contributor.affiliation | Boyle, G J, James Cook University | en_AU |
local.contributor.affiliation | Cocks, Daniel, College of Science, ANU | en_AU |
local.contributor.affiliation | White, R D, James Cook University | en_AU |
local.contributor.authoremail | u1051263@anu.edu.au | en_AU |
local.contributor.authoruid | Cocks, Daniel, u1051263 | en_AU |
local.description.embargo | 2037-12-31 | |
local.description.notes | Imported from ARIES | en_AU |
local.identifier.absfor | 020201 - Atomic and Molecular Physics | en_AU |
local.identifier.absfor | 020204 - Plasma Physics; Fusion Plasmas; Electrical Discharges | en_AU |
local.identifier.absfor | 020304 - Thermodynamics and Statistical Physics | en_AU |
local.identifier.absseo | 970102 - Expanding Knowledge in the Physical Sciences | en_AU |
local.identifier.ariespublication | u4485658xPUB2268 | en_AU |
local.identifier.citationvolume | 27 | en_AU |
local.identifier.doi | 10.1088/1361-6595/aaaa0c | en_AU |
local.identifier.scopusID | 2-s2.0-85043521308 | |
local.identifier.thomsonID | 000425145500001 | |
local.identifier.uidSubmittedBy | u4485658 | en_AU |
local.publisher.url | http://www.iop.org/ | en_AU |
local.type.status | Published Version | en_AU |
Downloads
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- 01_Garland_Approximating_the_nonlinear_2018.pdf
- Size:
- 1.14 MB
- Format:
- Adobe Portable Document Format