PT Journal AU Lamprecht, R Vialetto, L Gergs, T Zahari, FN Marquardt, R Kohlstedt, H Trieschmann, J TI Thickness‐Related Analog Switching in SiOx/Cu/SiOx Memristive Devices for Neuromorphic Applications SO Advanced Engineering Materials JI Adv Eng Mater PY 2024 VL 27 IS 2 PU Wiley DI 10.1002/adem.202401824 WP https://macau.uni-kiel.de/receive/macau_mods_00005874 LA en DE analog memristive devices; resistive switching; SiOx; wedge-type deposition SN 1438-1656 AB This study examines the development of TiN/SiOx/Cu/SiOx/TiN memristive devices for neuromorphic applications using wedge-type deposition and Monte Carlo simulations. Identifying critical parameters for the desired device characteristics can be challenging with conventional trial-and-error methods, which often obscure the effects of varying layer compositions. By employing an off-center thermal evaporation method, a thickness gradient of SiOx and Cu on a 4 inch wafer is created, facilitating detailed resistance map analysis through semiautomatic measurements. This approach allows for investigating the influence of layer composition and thickness while keeping other process conditions constant. Combining experimental data with simulations provides a precise understanding of layer thickness distribution and its impact on device performance. Optimizing the SiOx layers to be below 12 nm, coupled with a discontinuous Cu layer with a nominal thickness under 0.6 nm, exhibits analog switching properties with an Ron/Roff ratio of >100, suitable for neuromorphic applications, while R × A and power exponent γ analysis show signs of multiple conduction mechanisms. The findings highlight the importance of SiOx and Cu thickness in determining switching behavior, offering insights for developing high-performance analog switching components for bioinspired computing systems. PI Weinheim; Frankfurt, M. ER