FORMING N-TYPE AND P-TYPE HORIZONTAL GATE-ALL-AROUND DEVICES

    公开(公告)号:US20230079751A1

    公开(公告)日:2023-03-16

    申请号:US17472759

    申请日:2021-09-13

    Abstract: An approach provides a semiconductor structure for a first device with a first plurality of channels with a larger horizontal dimension than a vertical dimension of the first plurality of channels a second device comprising a second plurality of channels with a smaller horizontal dimension than the vertical dimension of the second plurality of channels. The first plurality of channels and the second plurality of channels have a same channel width in embodiments of the present invention. The first device is an n-type horizontal gate-all-around device and the second device is a p-type horizontal gate-all-around device.

    Nanosheet transistor with asymmetric gate stack

    公开(公告)号:US11251288B2

    公开(公告)日:2022-02-15

    申请号:US16876443

    申请日:2020-05-18

    Abstract: Embodiments of the present invention are directed to methods and resulting structures for nanosheet devices having asymmetric gate stacks. In a non-limiting embodiment of the invention, a nanosheet stack is formed over a substrate. The nanosheet stack includes alternating semiconductor layers and sacrificial layers. A sacrificial liner is formed over the nanosheet stack and a dielectric gate structure is formed over the nanosheet stack and the sacrificial liner. A first inner spacer is formed on a sidewall of the sacrificial layers. A gate is formed over channel regions of the nanosheet stack. The gate includes a conductive bridge that extends over the substrate in a direction orthogonal to the nanosheet stack. A second inner spacer is formed on a sidewall of the gate. The first inner spacer is formed prior to the gate stack, while the second inner spacer is formed after, and consequently, the gate stack is asymmetrical.

    DISTRIBUTED MEMORY-AUGMENTED NEURAL NETWORK ARCHITECTURE

    公开(公告)号:US20210311874A1

    公开(公告)日:2021-10-07

    申请号:US16838294

    申请日:2020-04-02

    Abstract: A method for using a distributed memory device in a memory augmented neural network system includes receiving, by a controller, an input query to access data stored in the distributed memory device, the distributed memory device comprising a plurality of memory banks. The method further includes determining, by the controller, a memory bank selector that identifies a memory bank from the distributed memory device for memory access, wherein the memory bank selector is determined based on a type of workload associated with the input query. The method further includes computing, by the controller and by using content based access, a memory address in the identified memory bank. The method further includes generating, by the controller, an output in response to the input query by accessing the memory address.

Patent Agency Ranking