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ANN-LIBS analysis of mixture plasmas: detection of xenon
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SYSNO ASEP 0559890 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title ANN-LIBS analysis of mixture plasmas: detection of xenon Author(s) Saeidfirozeh, Homa (UFCH-W) ORCID, RID
Myakalwar, A. K. (CL)
Kubelík, Petr (UFCH-W) RID, ORCID
Ghaderi, A. (CA)
Laitl, Vojtěch (UFCH-W) ORCID
Petera, Lukáš (UFCH-W) ORCID
Rimmer, P. B. (GB)
Shorttle, O. (GB)
Heays, Alan (UFCH-W) ORCID, RID, SAI
Křivková, Anna (UFCH-W) ORCID
Krůs, Miroslav (UFP-V) RID
Civiš, Svatopluk (UFCH-W) RID, ORCID, SAI
Yanez, J. (CL)
Kepes, E. (CZ)
Pořízka, P. (CZ)
Ferus, Martin (UFCH-W) ORCID, RIDSource Title Journal of Analytical Atomic Spectrometry. - : Royal Society of Chemistry - ISSN 0267-9477
Roč. 37, č. 9 (2022), s. 1815-1823Number of pages 9 s. Language eng - English Country GB - United Kingdom Keywords ANN-LIBS analysis ; xenon ; planetary processes Subject RIV CF - Physical ; Theoretical Chemistry OECD category Physical chemistry Subject RIV - cooperation Institute of Plasma Physics - Plasma and Gas Discharge Physics R&D Projects GA21-11366S GA ČR - Czech Science Foundation (CSF) EF16_019/0000778 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Limited access Institutional support UFCH-W - RVO:61388955 ; UFP-V - RVO:61389021 UT WOS 000826342300001 EID SCOPUS 85134913156 DOI 10.1039/d2ja00132b Annotation We developed an artificial neural network method for characterising crucial physical plasma parameters (i.e., temperature, electron density, and abundance ratios of ionisation states) in a fast and precise manner that mitigates common issues arising in evaluation of laser-induced breakdown spectra. The neural network was trained on a set of laser-induced breakdown spectra of xenon, a particularly physically and geochemically intriguing noble gas. The artificial neural network results were subsequently compared to a standard local thermodynamic equilibrium model. Speciation analysis of Xe was performed in a model atmosphere, mimicking gaseous systems relevant for tracing noble gases in geochemistry. The results demonstrate a comprehensive method for geochemical analyses, particularly a new concept of Xe detection in geochemical systems with an order-of-magnitude speed enhancement and requiring minimal input information. The method can be used for determination of Xe plasma physical parameters in industrial as well as scientific applications. Workplace J. Heyrovsky Institute of Physical Chemistry Contact Michaela Knapová, michaela.knapova@jh-inst.cas.cz, Tel.: 266 053 196 Year of Publishing 2023 Electronic address https://hdl.handle.net/11104/0333017
Number of the records: 1