6 citations · 7 across the 4 of their papers we have counts for
4 papers
Wedge-type engineered analog SiO/Cu/SiO-Memristive Devices for Neuromorphic Applications
Rouven Lamprecht, Luca Vialetto, Tobias Gergs +4
This study presents a comprehensive examination of the development of TiN/SiO/Cu/SiO/TiN memristive devices, engineered for neuromorphic applications usin…
Physics-based Modeling and Simulation of Nanoparticle Networks
Torben Hemke, Robin Struck, Sahitya Yarragolla +3
This study presents the computational modeling and simulation of silver nanoparticle networks (NPNs), which, in the realm of neuromorphic computation, suggest to be a promising can…
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…
Charge-optimized many-body interaction potential for AlN revisited to explore plasma-surface interactions
Tobias Gergs, Thomas Mussenbrock, Jan Trieschmann
Plasma-surface interactions during AlN thin film sputter deposition could be studied by means of reactive molecular dynamics (RMD) methods. This requires an interaction potential t…