Spin-orbit-torque magnetization rotational element and magnetic memory

    公开(公告)号:US11832526B2

    公开(公告)日:2023-11-28

    申请号:US17578625

    申请日:2022-01-19

    CPC classification number: H10N50/10 G11C11/161 H10B61/00 H10N50/80

    Abstract: A spin-orbit-torque magnetization rotational element includes: a ferromagnetic metal layer, a magnetization direction of the ferromagnetic metal layer being configured to change; a spin-orbit torque wiring which extends in the first direction intersecting a lamination direction of the ferromagnetic metal layer and is joined to the ferromagnetic metal layer; and two via wires, each of which extends in a direction intersecting the spin-orbit torque wiring from a surface of the spin-orbit torque wiring opposite to a side with the ferromagnetic metal layer and is connected to a semiconductor circuit, wherein a via-to-via distance between the two via wires in the first direction is shorter than a width of the ferromagnetic metal layer in the first direction.

    NODE AND RESERVOIR DEVICE
    2.
    发明申请

    公开(公告)号:US20250036931A1

    公开(公告)日:2025-01-30

    申请号:US18784000

    申请日:2024-07-25

    Abstract: The node includes a first input terminal, a second input terminal, a first sample and hold circuit, and a first output terminal. The first input terminal is configured to be connectable to an input source for transmitting an input signal to a reservoir device. The second input terminal is configured to be connectable to at least one other node. A first terminal of the first sample and hold circuit is connected to the first input terminal and the second input terminal. A second terminal of the first sample and hold circuit is connected to the first output terminal. The first output terminal is configured to be connectable to at least one other node. The first sample and hold circuit holds and converts a joined signal of the input signal and a propagated signal from the second input terminal.

    Neural network arithmetic processing device and neural network arithmetic processing method

    公开(公告)号:US11681498B2

    公开(公告)日:2023-06-20

    申请号:US16819303

    申请日:2020-03-16

    Inventor: Keita Suda

    CPC classification number: G06F7/5443 G06F7/50 G06F7/523

    Abstract: A neural network arithmetic processing device is capable of implementing a further increase in speed and efficiency of multiply-accumulate arithmetic operation, suppressing an increase in circuit scale, and performing multiply-accumulate arithmetic operation with simple design. A neural network arithmetic processing device includes a first multiply-accumulate arithmetic unit, a register connected to the first multiply-accumulate arithmetic unit, and a second multiply-accumulate arithmetic unit connected to the register. The first multiply-accumulate arithmetic unit has a first memory, a second memory, a first multiplier, a first adder, and a first output unit. The second multiply-accumulate arithmetic unit has an input unit, a third memory, second multipliers, second adders, and second output units.

    Spin-orbit-torque magnetization rotational element and magnetic memory

    公开(公告)号:US11264563B2

    公开(公告)日:2022-03-01

    申请号:US16629895

    申请日:2018-08-31

    Abstract: A spin-orbit-torque magnetization rotational element includes: a ferromagnetic metal layer, a magnetization direction of the ferromagnetic metal layer being configured to change; a spin-orbit torque wiring which extends in the first direction intersecting a lamination direction of the ferromagnetic metal layer and is joined to the ferromagnetic metal layer; and two via wires, each of which extends in a direction intersecting the spin-orbit torque wiring from a surface of the spin-orbit torque wiring opposite to a side with the ferromagnetic metal layer and is connected to a semiconductor circuit, wherein a via-to-via distance between the two via wires in the first direction is shorter than a width of the ferromagnetic metal layer in the first direction.

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