TWO-TERMINAL NON-VOLATILE MEMORY CELL FOR DECOUPLED READ AND WRITE OPERATIONS

    公开(公告)号:US20220319588A1

    公开(公告)日:2022-10-06

    申请号:US17217767

    申请日:2021-03-30

    IPC分类号: G11C11/56 G11C13/00 H01L45/00

    摘要: An embodiment of the invention may include a memory structure. The memory structure may include a first terminal connected to a first contact. The memory structure may include a second terminal connected to a second contact and a third contact. The memory structure may include a multi-level nonvolatile electrochemical cell having a variable resistance channel and a programming gate. The memory structure may include the first contact and second contact connected to the variable resistance channel. The memory structure may include the third contact is connected to the programming gate. This may enable decoupled read-write operations of the device.

    Two-terminal non-volatile memory cell for decoupled read and write operations

    公开(公告)号:US11568927B2

    公开(公告)日:2023-01-31

    申请号:US17217767

    申请日:2021-03-30

    IPC分类号: G11C13/00 G11C11/56 H01L45/00

    摘要: An embodiment of the invention may include a memory structure. The memory structure may include a first terminal connected to a first contact. The memory structure may include a second terminal connected to a second contact and a third contact. The memory structure may include a multi-level nonvolatile electrochemical cell having a variable resistance channel and a programming gate. The memory structure may include the first contact and second contact connected to the variable resistance channel. The memory structure may include the third contact is connected to the programming gate. This may enable decoupled read-write operations of the device.

    AGGREGATE ADJUSTMENTS IN A CROSS BAR NEURAL NETWORK

    公开(公告)号:US20200050929A1

    公开(公告)日:2020-02-13

    申请号:US16100673

    申请日:2018-08-10

    IPC分类号: G06N3/063 G06N3/04

    摘要: Method, systems, crosspoint arrays, and systems for tuning a neural network. A crosspoint array includes: a set of conductive rows, a set of conductive columns intersecting the set of conductive rows to form a plurality of crosspoints, a circuit element coupled to each of the plurality of crosspoints configured to store a weight of the neural network, a voltage source associated with each conductive row, a first integrator attached at the end of at least one of the conductive column, and a first variable resistor attached to the integrator and the end of the at least one conductive column.