Browsing by Author "Bartschat, Klaus"

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    LXCat: an Open-Access, Web-Based Platform for Data Needed for Modeling Low Temperature Plasmas
    (Weinheim : Wiley-VCH, 2016) Pitchford, Leanne C.; Alves, Luis L.; Bartschat, Klaus; Biagi, Stephen F.; Bordage, Marie‐Claude; Bray, Igor; Brion, Chris E.; Brunger, Michael J.; Campbell, Laurence; Chachereau, Alise; Chaudhury, Bhaskar; Christophorou, Loucas G.; Carbone, Emile; Dyatko, Nikolay A.; Franck, Christian M.; Fursa, Dmitry V.; Gangwar, Reetesh K.; Guerra, Vasco; Haefliger, Pascal; Hagelaar, Gerjan J. M.; Hoesl, Andreas; Itikawa, Yukikazu; Kochetov, Igor V.; McEachran, Robert P.; Morgan, W. Lowell; Napartovich, Anatoly P.; Puech, Vincent; Rabie, Mohamed; Sharma, Lalita; Srivastava, Rajesh; Stauffer, Allan D.; Tennyson, Jonathan; de Urquijo, Jaime; van Dijk, Jan; Viehland, Larry A.; Zammit, Mark C.; Zatsarinny, Oleg; Pancheshnyi, Sergey
    LXCat is an open-access platform (www.lxcat.net) for curating data needed for modeling the electron and ion components of technological plasmas. The data types presently supported on LXCat are scattering cross sections and swarm/transport parameters, ion-neutral interaction potentials, and optical oscillator strengths. Twenty-four databases contributed by different groups around the world can be accessed on LXCat. New contributors are welcome; the database contributors retain ownership and are responsible for the contents and maintenance of the individual databases. This article summarizes the present status of the project.
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    QDB: A new database of plasma chemistries and reactions
    (Bristol : IOP Publ., 2017) Tennyson, Jonathan; Rahimi, Sara; Hill, Christian; Tse, Lisa; Vibhakar, Anuradha; Akello-Egwel, Dolica; Brown, Daniel B.; Dzarasova, Anna; Hamilton, James R.; Jaksch, Dagmar; Mohr, Sebastian; Wren-Little, Keir; Bruckmeier, Johannes; Agarwal, Ankur; Bartschat, Klaus; Bogaerts, Annemie; Booth, Jean-Paul; Goeckner, Matthew J.; Hassouni, Khaled; Itikawa, Yukikazu; Braams, Bastiaan J; Krishnakumar, E.; Laricchiuta, Annarita; Mason, Nigel J.; Pandey, Sumeet; Petrovic, Zoran Lj.; Pu, Yi-Kang; Ranjan, Alok; Rauf, Shahid; Schulze, Julian; Turner, Miles M.; Ventzek, Peter; Whitehead, J. Christopher; Yoon, Jung-Sik
    One of the most challenging and recurring problems when modeling plasmas is the lack of data on the key atomic and molecular reactions that drive plasma processes. Even when there are data for some reactions, complete and validated datasets of chemistries are rarely available. This hinders research on plasma processes and curbs development of industrial applications. The QDB project aims to address this problem by providing a platform for provision, exchange, and validation of chemistry datasets. A new data model developed for QDB is presented. QDB collates published data on both electron scattering and heavy-particle reactions. These data are formed into reaction sets, which are then validated against experimental data where possible. This process produces both complete chemistry sets and identifies key reactions that are currently unreported in the literature. Gaps in the datasets can be filled using established theoretical methods. Initial validated chemistry sets for SF6/CF4/O2 and SF6/CF4/N2/H2 are presented as examples.