This paper demonstrates a proof-of-principle implementation of a weighted spin torque nano-oscillator (WSTNO) as a programmable building block for neuromorphic computing systems. The WSTNO, a spintronic circuit composed of magnetic tunnel junctions (MTJs), uses non-volatile magnetic memories as synapses and a non-linear spin torque nano-oscillator (STNO) as a neuron. The system demonstrates non-linear output based on weighted input sums using three MTJs, achieving an output power exceeding 3 µW and frequencies of 240 MHz. The MTJs are fabricated from a multifunctional stack in a single process, enabling reduced footprint and compatibility with CMOS integration.
Publisher
Communications Engineering
Published On
Sep 20, 2023
Authors
T. Böhnert, Y. Rezaeiyan, M. S. Claro, L. Benetti, A. S. Jenkins, H. Farkhani, F. Moradi, R. Ferreira
Tags
weighted spin torque nano-oscillator
neuromorphic computing
magnetic tunnel junctions
spintronic circuit
non-linear output
CMOS integration
output power
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