Litcius/Paper detail

Ultra‐Low Current 10 nm Spin Hall Nano‐Oscillators

Nilamani Behera, Avinash Kumar Chaurasiya, Victor H. González, Artem Litvinenko, Lakhan Bainsla, Akash Kumar, Roman Khymyn, Ahmad A. Awad, Himanshu Fulara, Johan Åkerman

2023Advanced Materials15 citationsDOIOpen Access PDF

Abstract

Abstract Nano‐constriction based spin Hall nano‐oscillators (SHNOs) are at the forefront of spintronics research for emerging technological applications, such as oscillator‐based neuromorphic computing and Ising Machines. However, their miniaturization to the sub‐50 nm width regime results in poor scaling of the threshold current. Here, it shows that current shunting through the Si substrate is the origin of this problem and studies how different seed layers can mitigate it. It finds that an ultra‐thin Al 2 O 3 seed layer and SiN (200 nm) coated p‐Si substrates provide the best improvement, enabling us to scale down the SHNO width to a truly nanoscopic dimension of 10 nm, operating at threshold currents below 30 A. In addition, the combination of electrical insulation and high thermal conductivity of the Al 2 O 3 seed will offer the best conditions for large SHNO arrays, avoiding any significant temperature gradients within the array. The state‐of‐the‐art ultra‐low operational current SHNOs hence pave an energy‐efficient route to scale oscillator‐based computing to large dynamical neural networks of linear chains or 2D arrays.

Topics & Concepts

Neuromorphic engineeringMiniaturizationMaterials scienceSpintronicsNanotechnologySubstrate (aquarium)Nano-Nanoscopic scaleOptoelectronicsScalingCondensed matter physicsEngineering physicsArtificial neural networkFerromagnetismComputer sciencePhysicsComposite materialOceanographyMachine learningMathematicsGeometryGeologyMagnetic properties of thin filmsQuantum and electron transport phenomenaPhysics of Superconductivity and Magnetism