Generation and optimization of cross-sections for electron-C4F7N collisions

被引：9

作者：

Flynn, M. ^{[1
]}

Agan, J. ^{[1
]}

Neuber, A. ^{[1
]}

Stephens, J. ^{[1
]}

机构：

[1] Texas Tech Univ, Ctr Pulsed Power & Power Elect, Lubbock, TX 79409 USA

来源：

JOURNAL OF PHYSICS D-APPLIED PHYSICS | 2023年 / 56卷 / 48期

关键词：

C4F7N; cross-section; genetic algorithm; R-matrix; Boltzmann equation; ATTACHMENT COEFFICIENTS; SWARM PARAMETERS; INSULATION GAS; LXCAT PROJECT; BASIS-SETS; IONIZATION; SCATTERING; SF6; ALGORITHMS; SIMULATION;

D O I：

10.1088/1361-6463/acf3db

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

A complete and consistent set of electron-neutral collision cross-sections for the novel insulating gas C4F7N is reported. The set is composed of a combination of cross-sections previously reported in literature, optimized via a genetic algorithm in conjunction with a multi-term Boltzmann equation solver, and calculated ab initio using the R-matrix code Quantemol-EC. The finalized set accurately reproduces reported macroscopic rate and transport coefficients as well as Townsend coefficients and critical electric field strengths in C4F7N and its mixtures with nitrogen, carbon dioxide, and argon.

引用

页数：17

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