An ultrafast image recovery and recognition system implemented with nanomagnets possessing biaxial magnetocrystalline anisotropy

Abstract

A circular magnetic disk with biaxial magnetocrystalline anisotropy has four stable magnetization states which can be used to encode a pixel's shade in a black/gray/white image. By solving the Landau-Lifshitz- Gilbert equation, we show that if moderate noise deflects the magnetization slightly from a stable state, it always returns to the original state, thereby automatically de-noising the corrupted image. The same system can compare a noisy input image with a stored image and make a matching decision using magneto-tunneling junctions. These tasks are executed at ultrahigh speeds (~2 ns for a 512\times512 pixel image).

Submitted to Applied Physics Letters

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Cited by in corpus (9)

• Straintronics: Manipulating the Magnetization of Magnetostrictive Nanomagnets with Strain for Energy-Efficient Applications
• Error Probability in Magneto-elastic Switching of Non-ideal Nanomagnets with Defects: A Case Study for the Viability of Straintronic Logic and Memory
• Energy-efficient switching of nanomagnets for computing: Straintronics and other methodologies
• Low Barrier Nanomagnet Design for Binary Stochastic Neurons: Design Challenges for Real Nanomagnets with Fabrication Defects
• Image Processing with Dipole-Coupled Nanomagnets: Noise Suppression and Edge Enhancement Detection
• Exploring Performance, Coherence, and Clocking of Magnetization in Multiferroic Four-State Nanomagnets
• An Energy-Efficient Bennett Clocking Scheme for 4-State Multiferroic Logic
• Applications of Nanomagnets as Dynamical Systems
• Energy dissipation and error probability in fault-tolerant binary switching