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4 October 2024 Multifunctional magnetic tunnel junction for neuromorphic computing
Tim Boehnert, Maksim Steblii, Alejandro Schulman, Elvira Paz, Yasser Rezaeiyan, Marcel Claro, Luana Benetti, Alex S. Jenkins, Hooman Farkhani, Farshad Moradi, Ricardo Ferreira
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Proceedings Volume PC13119, Spintronics XVII; PC131191F (2024) https://doi.org/10.1117/12.3027449
Event: Nanoscience + Engineering, 2024, San Diego, California, United States
Abstract
Spintronic nanodevices are a prime candidate for the implementation of neuromorphic computing systems. In particular magnetic tunnel junctions (MTJs) are multifunctional nanodevices compatible with CMOS processing are used as magnetic field sensors, non-volatile memories, non-linear oscillators, and rectifiers. We developed a multifunctional MTJ stack to fabricate various MTJs types in a single process. We present an experimental proof of principle of the weighted spin torque nano-oscillator (WSTNO ) consisting of three MTJ nanopillars. Two non-volatile memories weight the input, which is non-linearly transferred by one oscillator into an output signal. The STNOs have an output power above 1 µW and frequencies of 240 MHz. This WSTNO is a programmable building block for future neuromorphic computing systems. Other non-volatile effects in the MTJ are explored to enable for example non-volatile tuning of the resonance frequency. In this context, optical access to the nanodevices is a highly relevant and challenging topic which we address.
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Tim Boehnert, Maksim Steblii, Alejandro Schulman, Elvira Paz, Yasser Rezaeiyan, Marcel Claro, Luana Benetti, Alex S. Jenkins, Hooman Farkhani, Farshad Moradi, and Ricardo Ferreira "Multifunctional magnetic tunnel junction for neuromorphic computing", Proc. SPIE PC13119, Spintronics XVII, PC131191F (4 October 2024); https://doi.org/10.1117/12.3027449
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KEYWORDS
Magnetic tunnel junctions
Nanostructures
Computing systems
Magnetism
Oscillators
Fabrication
Spintronics
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