3 papers
physics.plasm-ph2026
A physics-informed neural network approach to solve the spatially inhomogeneous electron Boltzmann equation
Ihda Chaerony Siffa, Detlef Loffhagen, Markus M. Becker +1
The accurate determination of electron properties is fundamental to low-temperature plasma simulations, necessitating precise solutions to the spatially inhomogeneous electron Bolt…
cond-mat.mes-hall2024
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…
cond-mat.mtrl-sci2024
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…