Resistive random access memory (RRAM) cells and methods of construction

    公开(公告)号:US12010932B2

    公开(公告)日:2024-06-11

    申请号:US17379181

    申请日:2021-07-19

    发明人: Yaojian Leng

    IPC分类号: H10N70/00 H10N70/20

    摘要: Resistive random access memory (RRAM) cells, for example conductive bridging random access memory (CBRAM) cells and oxygen vacancy-based RRAM (OxRRAM) cells are provided. An RRAM cell may include a metal-insulator-metal (MIM) structure formed between adjacent metal interconnect layers or between a silicided active layer (e.g., including MOSFET devices) and a first metal interconnect layer. The MIM structure of the RRAM cell may be formed by a damascene process including forming a tub opening in a dielectric region, forming a cup-shaped bottom electrode in the tub opening, forming a cup-shaped insulator in an interior opening defined by the cup-shaped bottom electrode, and forming a top electrode in an interior opening defined by the cup-shaped insulator. The cup-shaped bottom electrode, or a component thereof (in the case of a multi-layer bottom electrode) may be formed concurrent with interconnect vias, e.g., by deposition of tungsten or other conformal metal.

    End stop return function for vehicle steering

    公开(公告)号:US11970222B2

    公开(公告)日:2024-04-30

    申请号:US17355619

    申请日:2021-06-23

    IPC分类号: B62D5/04 B62D6/00

    摘要: A method for actuating a vehicle steering actuator which is coupled to a steering gear, comprising: providing an end stop return function with which a first control variable for the vehicle steering actuator can be ascertained, on the basis of which a force that returns the steering gear in the direction of a defined position can be at least partially generated with the vehicle steering actuator; ascertaining whether the steering gear falls below a limit distance from an end stop; and if this is the case: actuating the vehicle steering actuator on the basis of the first control variable ascertained with the end stop return function, which control variable has a value above a threshold value; wherein, if the limit distance is not fallen below, no control variable is ascertained with the end stop return function or a control variable with a value not exceeding the threshold value.

    Computer-implemented method for machine learning for operating a vehicle component, and method for operating a vehicle component

    公开(公告)号:US11970178B2

    公开(公告)日:2024-04-30

    申请号:US17380421

    申请日:2021-07-20

    IPC分类号: B60W50/06 G06N20/00

    CPC分类号: B60W50/06 G06N20/00

    摘要: The invention relates to a method for preparing or generating a training data set for machine learning to operate a vehicle component. Provided multidimensional data points are divided up in a first step by dividing up the plurality of data points into multidimensional clusters by using a cluster algorithm. Then a training data set is generated by selecting data points from the basic training data set. The selection comprises determining a smallest cluster among the plurality of clusters with the lowest number of data points. Furthermore, at least one subset of the data points of the smallest cluster is provided for the training data set. In another step, a subset of data points is selected from each of the other clusters for the training data set, wherein the number of selected data points of each other cluster corresponds to the number of selected data points of the smallest cluster.