Targeted Cross-Section Calculations for Plasma Simulations
Gathering data on electron collisions in plasmas is a vital part of conducting plasma simulations. However, data on neutral radicals and neutrals formed in the plasma by reactions between different radicals are usually not readily available. While these cross-sections can be calculated numerically,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Online Access: | https://www.mdpi.com/2218-2004/9/4/85 |
| _version_ | 1797506691667853312 |
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| author | Sebastian Mohr Maria Tudorovskaya Martin Hanicinec Jonathan Tennyson |
| author_facet | Sebastian Mohr Maria Tudorovskaya Martin Hanicinec Jonathan Tennyson |
| author_sort | Sebastian Mohr |
| collection | DOAJ |
| description | Gathering data on electron collisions in plasmas is a vital part of conducting plasma simulations. However, data on neutral radicals and neutrals formed in the plasma by reactions between different radicals are usually not readily available. While these cross-sections can be calculated numerically, this is a time-consuming process and it is not clear from the outset which additional cross-sections are needed for a given plasma process. Hence, identifying species for which additional cross-sections are needed in advance is highly advantageous. Here, we present a structured approach to do this. In this, a chemistry set using estimated data for unknown electron collisions is run in a global plasma model. The results are used to rank the species with regard to their influence on densities of important species such as electrons or neutrals inducing desired surface processes. For this, an algorithm based on graph theory is used. The species ranking helps to make an informed decision on which cross-sections need to be calculated to improve the chemistry set and which can be neglected to save time. The validity of this approach is demonstrated through an example in an SF<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>6</mn></msub></semantics></math></inline-formula>/O<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> plasma. |
| first_indexed | 2024-03-10T04:36:07Z |
| format | Article |
| id | doaj.art-d84f5faee3ca42b8a5e582b26d31cb2f |
| institution | Directory Open Access Journal |
| issn | 2218-2004 |
| language | English |
| last_indexed | 2024-03-10T04:36:07Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atoms |
| spelling | doaj.art-d84f5faee3ca42b8a5e582b26d31cb2f2023-11-23T03:47:57ZengMDPI AGAtoms2218-20042021-10-01948510.3390/atoms9040085Targeted Cross-Section Calculations for Plasma SimulationsSebastian Mohr0Maria Tudorovskaya1Martin Hanicinec2Jonathan Tennyson3Quantemol Ltd., 320 Angel, 320 City Road, London EC1V 2NZ, UKQuantemol Ltd., 320 Angel, 320 City Road, London EC1V 2NZ, UKQuantemol Ltd., 320 Angel, 320 City Road, London EC1V 2NZ, UKDepartment of Physics and Astronomy, University College, Gower St., London WC1E 6BT, UKGathering data on electron collisions in plasmas is a vital part of conducting plasma simulations. However, data on neutral radicals and neutrals formed in the plasma by reactions between different radicals are usually not readily available. While these cross-sections can be calculated numerically, this is a time-consuming process and it is not clear from the outset which additional cross-sections are needed for a given plasma process. Hence, identifying species for which additional cross-sections are needed in advance is highly advantageous. Here, we present a structured approach to do this. In this, a chemistry set using estimated data for unknown electron collisions is run in a global plasma model. The results are used to rank the species with regard to their influence on densities of important species such as electrons or neutrals inducing desired surface processes. For this, an algorithm based on graph theory is used. The species ranking helps to make an informed decision on which cross-sections need to be calculated to improve the chemistry set and which can be neglected to save time. The validity of this approach is demonstrated through an example in an SF<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>6</mn></msub></semantics></math></inline-formula>/O<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> plasma.https://www.mdpi.com/2218-2004/9/4/85cross-section calculationsR-matrixplasma simulation |
| spellingShingle | Sebastian Mohr Maria Tudorovskaya Martin Hanicinec Jonathan Tennyson Targeted Cross-Section Calculations for Plasma Simulations Atoms cross-section calculations R-matrix plasma simulation |
| title | Targeted Cross-Section Calculations for Plasma Simulations |
| title_full | Targeted Cross-Section Calculations for Plasma Simulations |
| title_fullStr | Targeted Cross-Section Calculations for Plasma Simulations |
| title_full_unstemmed | Targeted Cross-Section Calculations for Plasma Simulations |
| title_short | Targeted Cross-Section Calculations for Plasma Simulations |
| title_sort | targeted cross section calculations for plasma simulations |
| topic | cross-section calculations R-matrix plasma simulation |
| url | https://www.mdpi.com/2218-2004/9/4/85 |
| work_keys_str_mv | AT sebastianmohr targetedcrosssectioncalculationsforplasmasimulations AT mariatudorovskaya targetedcrosssectioncalculationsforplasmasimulations AT martinhanicinec targetedcrosssectioncalculationsforplasmasimulations AT jonathantennyson targetedcrosssectioncalculationsforplasmasimulations |