Sanken Electric has patented a MLU-based magnetic device with multiple cells, input device for changing magnetization, and processing unit for computing electrical variations. The device includes an authentication method. The technology involves generating input signals to change magnetization and measure resistance, with potential applications in security and data storage. GlobalData’s report on Sanken Electric gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Sanken Electric, Quantum dot devices was a key innovation area identified from patents. Sanken Electric's grant share as of February 2024 was 68%. Grant share is based on the ratio of number of grants to total number of patents.

Magnetic logic unit (mlu) device for authentication

Source: United States Patent and Trademark Office (USPTO). Credit: Sanken Electric Co Ltd

A recently granted patent (Publication Number: US11921835B2) discloses a magnetic logic unit (MLU)-based magnetic device designed with multiple MLU cells, each consisting of ferromagnetic layers separated by a spacing layer. The device includes an input device to change the magnetization orientation, a bit line for measuring resistance, and a processing unit. The input signal generates a read magnetic field with varying magnitudes, allowing the processing unit to compute an electrical variation signature based on the sense of different MLU cells switching at different magnetic field strengths. The processing unit also includes a comparison circuit to compare the electrical variation signature with a reference signature, providing information on the match or non-match between the two.

Furthermore, the MLU device can be configured to generate physical unclonable functions (PUFs) where the read magnetic field serves as a challenge and the output signal as a response. The device can also be used in an authentication method involving changing the magnetization orientation, measuring resistance, and computing electrical variations based on the magnetic field strength. The method includes steps such as varying the magnitude of the read magnetic field, computing electrical variations, and outputting an electrical variation signature corresponding to the switching behavior of different MLU cells at varying magnetic field strengths. Additionally, the method involves computing noise spectral density signatures to enhance the authentication process, providing valuable insights into the device's performance and reliability.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.