activity
20182026
most citedMachine learning plasma-surface interface for coupling sputtering and gas-phase transport simulations

42 citations · 122 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

physics.plasm-ph2023★ 7 cited

Machine learning for advancing low-temperature plasma modeling and simulation

Jan Trieschmann, Luca Vialetto, Tobias Gergs

Machine learning has had an enormous impact in many scientific disciplines. Also in the field of low-temperature plasma modeling and simulation it has attracted significant interes…

cond-mat.soft2023★ 1 cited

PECVD and PEALD on polymer substrates (Part II): Understanding and tuning of barrier and membrane properties of thin films

Teresa de los Arcos, Peter Awakowicz, Marc Böke +19

This feature article presents insights concerning the correlation of PECVD and PEALD thin film structures with their barrier or membrane properties. While in principle similar prec…

cond-mat.soft2023

PECVD and PEALD on polymer substrates (part I): Fundamentals and analysis of plasma activation and thin film growth

Teresa de los Arcos, Peter Awakowicz, Jan Benedikt +17

This feature article considers the analysis of the initial states of film growth on polymer substrates. The assembled results are based on the cooperation between research groups i…

cond-mat.mtrl-sci2023★ 6 cited

Physics-separating artificial neural networks for predicting sputtering and thin film deposition of AlN in Ar/N discharges on experimental timescales

Tobias Gergs, Thomas Mussenbrock, Jan Trieschmann

Understanding and modeling plasma-surface interactions frame a multi-scale as well as multi-physics problem. Scale-bridging machine learning surface surrogate models have been demo…