QDB: a new database of plasma chemistries and reactions
Abstract
One of the most challenging and recurring problems when modelling plasmas is the lack of data on 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 SF/CF/O and SF/CF/N/H are presented as examples.
Keywords
Cite
@article{arxiv.1704.04088,
title = {QDB: a new database of plasma chemistries and reactions},
author = {Jonathan Tennyson and Sara Rahimi and Christian Hill and Lisa Tse and Anuradha Vibhakar and Dolica Akello-Egwel and Daniel B. Brown and Anna Dzarasova and James R. Hamilton and Dagmar Jaksch and Sebastian Mohr and Keir Wren-Little and Johannes Bruckmeier and Ankur Agarwal and Klaus Bartschat and Annemie Bogaerts and Jean-Paul Booth and Matthew J. Goeckner and Khaled Hassouni and Yukikazu Itikawa and Bastiaan J Braams and E. Krishnakumar and Annarita Laricchiuta and Nigel J. Mason and Sumeet Pandey and Zoran Lj. Petrovic and Yi-Kang Pu and Alok Ranjan and Shahid Rauf and Julian Schulze and Miles M. Turner and Peter Ventzek and J. Christopher Whitehead and Jung-Sik Yoon},
journal= {arXiv preprint arXiv:1704.04088},
year = {2017}
}
Comments
30 pages, 7 figures, 10 tables