Journal
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
Volume 563, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jmmm.2022.169968
Keywords
Magnonics; Nonlinear spin waves; Reservoir computing; Artificial neural networks
Funding
- Ministry of Science and Higher Education of the Russian Federation [075-15-2021-609]
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We conducted numerical simulation on the performance of a physical reservoir computer using a magnonic active ring oscillator. The evaluation of performance was done based on short-term memory and parity-check capacities. The results demonstrate the potential for improving the performance characteristics of the reservoir computer.
We carry out numerical simulation of the performance of a physical reservoir computer based on a magnonic active ring oscillator. Our numerical model is based on the theory of nonlinear spin-wave transient processes in magnetic films. We employ-two metrics to evaluate the performance, namely the short-term memory and parity-check capacities. Obtained results demonstrate that there exists high potential for improvement of performance characteristics of the reservoir computer. Finally, we formulate optimal physical parameters for the magnonic reservoir. Our numerical model shows that the optimized reservoir will be able to increase its short-term memory and parity check capacities by two times with respect to the experimentally demonstrated in recent papers.
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