42 citations · 122 across the 16 of their papers we have counts for
17 papers
From Processing to Functionality: Engineering Accessible Material States in Cu-Embedded SiO Memristive Devices
Tobias Gergs, Rouven Lamprecht, Sahitya Yarragolla +5
Resistive switching in oxide-based devices is widely governed by stochastic defect processes, yet a predictive link between fabrication conditions and functional behavior remains e…
On the physical origins of switching diversity in Cu-embedded SiO memristive devices
Sahitya Yarragolla, Rouven Lamprecht, Tobias Gergs +4
Resistive switching devices with sub-stoichiometric SiO and pancake-like Cu nanoparticles (Cu-PCs) exhibit distinct macroscopic current-voltage characteristics classified as ca…
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…
Nonlinear behavior of memristive devices for hardware security primitives and neuromorphic computing systems
Sahitya Yarragolla, Torben Hemke, Fares Jalled +4
Nonlinearity is a crucial characteristic for implementing hardware security primitives or neuromorphic computing systems. The main feature of all memristive devices is this nonline…
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…