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Author |
Smith, G.J.; Diomede, P.; Gibson, A.R.; Doyle, S.J.; Guerra, V.; Kushner, M.J.; Gans, T.; Dedrick, J.P. |
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Title |
Low-pressure inductively coupled plasmas in hydrogen : impact of gas heating on the spatial distribution of atomic hydrogen and vibrationally excited states |
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A1 Journal article |
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Year  |
2024 |
Publication |
Plasma sources science and technology |
Abbreviated Journal |
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Volume |
33 |
Issue |
2 |
Pages |
025002-25020 |
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Keywords |
A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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Abstract |
Non-equilibrium inductively coupled plasmas (ICPs) operating in hydrogen are of significant interest for applications including large-area materials processing. Increasing control of spatial gas heating, which drives the formation of neutral species density gradients and the rate of gas-temperature-dependent reactions, is critical. In this study, we use 2D fluid-kinetic simulations with the Hybrid Plasma Equipment Model to investigate the spatially resolved production of atomic hydrogen in a low-pressure planar ICP operating in pure hydrogen (10-20 Pa or 0.075-0.15 Torr, 300 W). The reaction set incorporates self-consistent calculation of the spatially resolved gas temperature and 14 vibrationally excited states. We find that the formation of neutral-gas density gradients, which result from spatially non-uniform electrical power deposition at constant pressure, can drive significant variations in the vibrational distribution function and density of atomic hydrogen when gas heating is spatially resolved. This highlights the significance of spatial gas heating on the production of reactive species in relatively high-power-density plasma processing sources. |
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001154851700001 |
Publication Date |
2024-01-15 |
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0963-0252 |
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UA library record; WoS full record |
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Call Number |
UA @ admin @ c:irua:203866 |
Serial |
9054 |
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Author |
Salden, A.; Budde, M.; Garcia-Soto, C.A.; Biondo, O.; Barauna, J.; Faedda, M.; Musig, B.; Fromentin, C.; Nguyen-Quang, M.; Philpott, H.; Hasrack, G.; Aceto, D.; Cai, Y.; Jury, F.A.; Bogaerts, A.; Da Costa, P.; Engeln, R.; Galvez, M.E.; Gans, T.; Garcia, T.; Guerra, V.; Henriques, C.; Motak, M.; Navarro, M.V.; Parvulescu, V.I.; Van Rooij, G.; Samojeden, B.; Sobota, A.; Tosi, P.; Tu, X.; Guaitella, O. |
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Title |
Meta-analysis of CO₂ conversion, energy efficiency, and other performance data of plasma-catalysis reactors with the open access PIONEER database |
Type |
A1 Journal article |
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Year |
2023 |
Publication |
Journal of energy chemistry |
Abbreviated Journal |
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Volume |
86 |
Issue |
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Pages |
318-342 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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Abstract |
This paper brings the comparison of performances of CO2 conversion by plasma and plasma-assisted catalysis based on the data collected from literature in this field, organised in an open access online data-base. This tool is open to all users to carry out their own analyses, but also to contributors who wish to add their data to the database in order to improve the relevance of the comparisons made, and ultimately to improve the efficiency of CO2 conversion by plasma-catalysis. The creation of this database and data-base user interface is motivated by the fact that plasma-catalysis is a fast-growing field for all CO2 con-version processes, be it methanation, dry reforming of methane, methanolisation, or others. As a result of this rapid increase, there is a need for a set of standard procedures to rigorously compare performances of different systems. However, this is currently not possible because the fundamental mechanisms of plasma-catalysis are still too poorly understood to define these standard procedures. Fortunately how-ever, the accumulated data within the CO2 plasma-catalysis community has become large enough to war-rant so-called “big data” studies more familiar in the fields of medicine and the social sciences. To enable comparisons between multiple data sets and make future research more effective, this work proposes the first database on CO2 conversion performances by plasma-catalysis open to the whole community. This database has been initiated in the framework of a H2020 European project and is called the “PIONEER DataBase”. The database gathers a large amount of CO2 conversion performance data such as conversion rate, energy efficiency, and selectivity for numerous plasma sources coupled with or without a catalyst. Each data set is associated with metadata describing the gas mixture, the plasma source, the nature of the catalyst, and the form of coupling with the plasma. Beyond the database itself, a data extraction tool with direct visualisation features or advanced filtering functionalities has been developed and is available online to the public. The simple and fast visualisation of the state of the art puts new results into context, identifies literal gaps in data, and consequently points towards promising research routes. More advanced data extraction illustrates the impact that the database can have in the understanding of plasma-catalyst coupling. Lessons learned from the review of a large amount of literature during the setup of the database lead to best practice advice to increase comparability between future CO2 plasma-catalytic studies. Finally, the community is strongly encouraged to contribute to the database not only to increase the visibility of their data but also the relevance of the comparisons allowed by this tool. (c) 2023 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by ELSEVIER B.V. and Science Press. This is an open access article under the CC BY license (http://creati- vecommons.org/licenses/by/4.0/). |
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001083545900001 |
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2023-08-10 |
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2095-4956 |
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UA library record; WoS full record; WoS citing articles |
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Call Number |
UA @ admin @ c:irua:200416 |
Serial |
9056 |
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Author |
Tennyson, J.; Mohr, S.; Hanicinec, M.; Dzarasova, A.; Smith, C.; Waddington, S.; Liu, B.; Alves, L.L.; Bartschat, K.; Bogaerts, A.; Engelmann, S.U.; Gans, T.; Gibson, A.R.; Hamaguchi, S.; Hamilton, K.R.; Hill, C.; O’Connell, D.; Rauf, S.; van ’t Veer, K.; Zatsarinny, O. |
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Title |
The 2021 release of the Quantemol database (QDB) of plasma chemistries and reactions |
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A1 Journal article |
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Year |
2022 |
Publication |
Plasma Sources Science & Technology |
Abbreviated Journal |
Plasma Sources Sci T |
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Volume |
31 |
Issue |
9 |
Pages |
095020 |
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Keywords |
A1 Journal article; Plasma Lab for Applications in Sustainability and Medicine – Antwerp (PLASMANT) |
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Abstract |
The Quantemol database (QDB) provides cross sections and rates of processes important for plasma models; heavy particle collisions (chemical reactions) and electron collision processes are considered. The current version of QDB has data on 28 917 processes between 2485 distinct species plus data for surface processes. These data are available via a web interface or can be delivered directly to plasma models using an application program interface; data are available in formats suitable for direct input into a variety of popular plasma modeling codes including HPEM, COMSOL, ChemKIN, CFD-ACE+, and VisGlow. QDB provides ready assembled plasma chemistries plus the ability to build bespoke chemistries. The database also provides a Boltzmann solver for electron dynamics and a zero-dimensional model. Thesedevelopments, use cases involving O<sub>2</sub>, Ar/NF<sub>3</sub>, Ar/NF<sub>3</sub>/O<sub>2</sub>, and He/H<sub>2</sub>O/O<sub>2</sub>chemistries, and plans for the future are presented. |
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000895762200001 |
Publication Date |
2022-09-01 |
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ISSN |
0963-0252 |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
3.8 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
Engineering and Physical Sciences Research Council, EP/N509577/1 ; Fundação para a Ciência e a Tecnologia, UIDB/50010/2020 ; Science and Technology Facilities Council, ST/K004069/1 ; National Science Foundation, OAC-1834740 ; |
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Most recent IF: 3.8 |
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Call Number |
PLASMANT @ plasmant @c:irua:192845 |
Serial |
7245 |
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