Computational elements based on coupled VO2 oscillators via tunable thermal 
triggering

Li, Guanmin; Wang, Zhong; Chen, Yuliang; Jeon, Jae-Chun; Parkin, Stuart S. P.

doi:10.1038/s41467-024-49925-3

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Computational elements based on coupled VO₂ oscillators via tunable thermal triggering

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Li, Guanmin
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;
International Max Planck Research School for Science and Technology of Nano-Systems, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Wang, Zhong
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;
International Max Planck Research School for Science and Technology of Nano-Systems, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Chen, Yuliang
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Jeon, Jae-Chun
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Parkin, Stuart S. P.
Nano-Systems from Ions, Spins and Electrons, Max Planck Institute of Microstructure Physics, Max Planck Society;

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Citation

Li, G., Wang, Z., Chen, Y., Jeon, J.-C., & Parkin, S. S. P. (2024). Computational elements based on coupled VO₂ oscillators via tunable thermal triggering. Nature Communications, 15: 5820. doi:10.1038/s41467-024-49925-3.

Cite as: https://hdl.handle.net/21.11116/0000-000F-A2D9-5

Abstract

Computational technologies based on coupled oscillators are of great interest for energy efficient computing. A key to developing such technologies is the tunable control of the interaction among oscillators which today is accomplished by additional electronic components. Here we show that the synchronization of closely spaced vanadium dioxide (VO₂) oscillators can be controlled via a simple thermal triggering element that itself is formed from VO₂. The net energy consumed by the oscillators is lower during thermal coupling compared with the situation where they are oscillating independently. As the size of the oscillator shrinks from 6 μm to 200 nm both the energy efficiency and the oscillator frequency increases. Based on such oscillators with active tuning, we demonstrate AND, NAND, and NOR logic gates and various firing patterns that mimic the behavior of spiking neurons. Our findings demonstrate an innovative approach towards computational techniques based on networks of thermally coupled oscillators.