# QDB: a new database of plasma chemistries and reactions

## TL;DR

QDB is a comprehensive database platform that collates, validates, and identifies gaps in plasma chemistry data, facilitating research and industrial applications by providing complete and validated reaction datasets.

## Contribution

The paper introduces QDB, a novel platform with a new data model for collating and validating plasma chemistry datasets, including initial chemistry sets for specific gas mixtures.

## Key findings

- Validated chemistry sets for SF₆/CF₄/O₂ and SF₆/CF₄/N₂/H₂ are presented.
- QDB identifies key unreported reactions and data gaps in plasma chemistry.
- The platform enables data exchange and gap filling using theoretical methods.

## 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$_6$/CF$_4$/O$_2$ and SF$_6$/CF$_4$/N$_2$/H$_2$ are presented as examples.