Structurally simplified GCMO crossbar design for artificial synaptic networks
: Antola, Anni; Angervo, Ilari; Huhtinen, Hannu; Miettinen, Mikko; Schulman, Alejandro; Paturi, Petriina
Publisher: American Institute of Physics
: 2024
: Applied Physics Letters
: Applied Physics Letters
: 253502
: 124
: 25
: 0003-6951
: 1077-3118
DOI: https://doi.org/10.1063/5.0210544
: https://research.utu.fi/converis/portal/detail/Publication/457039333
Harnessing the full power of memristors as artificial synapses demands a simple and scalable crossbar architecture enabling their seamless integration into diverse applications. This Letter presents the 3 × 3 memristor crossbar array configuration featuring a grid of interconnected devices. The composition includes Al as the reactive top electrode connecting the device columns and Gd1−xCaxMnO3 (GCMO, x = 0.8 ) serving as the bottom electrode connecting the device rows as well as the memristive material eliminating the need for additional layers and fabrication steps. Controlled-sized vias through insulating the Al2O3 layer connect the electrodes forming the active interface. The idea is validated with a test sample of 3 × 3 crossbars with the Au/GCMO/Al structure, Au enabling Ohmic contact to GCMO, with device resistive switching ratios mostly around 102 and yield of over 90%. The devised crossbar structure could provide a highly scalable, yet simple, geometry suitable for synaptic networks.
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk\u0142odowska-Curie Grant Agreement No. 101034371, Academy of Finland Project Nos. 308285 and 352802, and Business Finland Project No. 344/31/2021. All authors would like to acknowledge the Jenny & Antti Wihuri Foundation for their financial support. Additionally, A. Antola acknowledges the Finnish Cultural Foundation and the University of Turku Graduate School (UTUGS) for their financial support.