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Ultra-Low Current 10 nm Spin Hall Nano-Oscillators
Nilamani Behera1, Avinash Kumar Chaurasiya1, Victor H González1
1Physics Department, University of Gothenburg, Gothenburg, 412 96, Sweden.
Advanced Materials (Deerfield Beach, Fla.)
|November 22, 2023
Summary
Researchers improved spin Hall nano-oscillators (SHNOs) by using an Al2O3 seed layer, enabling 10 nm devices with ultra-low currents (<30 µA). This breakthrough is crucial for energy-efficient neuromorphic computing and large-scale spintronic arrays.
Area of Science:
- Spintronics
- Nanotechnology
- Materials Science
Background:
- Spin Hall nano-oscillators (SHNOs) are key for neuromorphic computing.
- Miniaturization of SHNOs below 50 nm faces challenges with threshold current scaling.
- Current shunting through Si substrates limits SHNO performance.
Purpose of the Study:
- Investigate the origin of poor threshold current scaling in nano-constricted SHNOs.
- Explore the use of seed layers to mitigate current shunting.
- Enable miniaturization of SHNOs to truly nanoscopic dimensions.
Main Methods:
- Fabrication of nano-constricted SHNOs with varying seed layers on p-Si substrates.
- Characterization of SHNO performance, focusing on threshold current.
- Analysis of current shunting effects through the Si substrate.
Main Results:
- Identified current shunting through the Si substrate as the primary cause of poor scaling.
- Demonstrated that an ultra-thin Al2O3 seed layer significantly improves SHNO performance.
- Achieved 10 nm width SHNOs operating at threshold currents below 30 µA.
- Showcased Al2O3's dual benefit of electrical insulation and thermal conductivity for large arrays.
Conclusions:
- Ultra-thin Al2O3 seed layers effectively mitigate current shunting in nano-constricted SHNOs.
- This enables unprecedented miniaturization of SHNOs to 10 nm with ultra-low operating currents.
- The developed SHNOs offer an energy-efficient pathway for scaling oscillator-based computing, including large dynamical neural networks and 2D arrays.
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