Data-driven diagnostics of the impact of surface effects on the properties of dielectric barrier discharges (d3DBD)

Non-thermal plasmas are utilised across various applications due to their effective generation of reactive species through transient discharges, with dielectric barrier discharge (DBD) being a common method for plasma generation. The interaction between plasma and surface is crucial, making it essential to thoroughly understand how dielectrics influence plasma properties for the enhancement of applications in fields such as medicine, agriculture, and air purification. This project proposes a novel approach to data-driven diagnostics by integrating experimental and simulation data into a unified database, enabling systematic exploration of complex surface effects to address critical research questions. The database ensures consistent data formats for all measured and calculated discharge parameters, facilitating direct linking between experimental and simulation data. Through systematic data analysis, the project investigates how individual surface effects influence various discharge phases of the DBD, exploring their potential for optimising plasma properties alongside established volume effects. The data and metadata formats developed will contribute to enhancing the accessibility and reusability of research data, addressing a prominent challenge within the scientific community.

Funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), project number 535827833, https://gepris.dfg.de/gepris/projekt/535827833.