US 2025/0148274 A1 · Deep Neural Network Device Based on Dual Spin Orbit Torque (SOT) Devices

Abstract

The present disclosure generally relates to a deep neural network (DNN) device utilizing spin orbital-spin orbital (SO-SO) devices. The SO-SO devices each includes two SOT layers, a first spin orbit torque (SOT1) layer, a second spin orbit torque (SOT2) layer, and a ferromagnetic layer disposed between the SOT1 and SOT2 layer. Each SO-SO device further comprises three terminals, one per each SOT layer, for in plane current flow to or from the respective SOT layer, and one for perpendicular current flow through multiple layers, or the overall stack, of the SO-SO device. The SO-SO device thus efficiently provides spin-to-charge and charge-to-spin mechanisms in the same device, and can be flexibility configured to perform various functions of a neural node of a DNN. These functions include storing programmed weights, multiplying inputs and weights and summing such multiplication results, and performing an activation function to determine a neural node output.

Claims28

Dependent claims

A deep neural network (DNN) device, the DNN device comprising:

one or more first devices configured to perform a first operation of a neural node of a deep neural network (DNN), the one or more first devices each comprising:
a first spin orbit torque (SOT1) layer;
a second spin orbit torque (SOT2) layer;
a ferromagnetic layer disposed between the SOT1 and SOT2 layer;
a first terminal coupled to the SOT1 layer;
a second terminal coupled over the SOT2 layer, the second terminal being configured for an input current path that is perpendicular to a plane of the SOT2 layer, the input current path being configured to extend into the ferromagnetic layer;
and
a third terminal coupled to the SOT2 layer, the third terminal being configured for an output current path that is in plane of the SOT2 layer.

5 more elements

A deep neural network (DNN) device, the DNN device comprising:

a first layer of a plurality of first spin orbit torque (SOT) devices configured to perform a first operation of a neural node of a deep neural network (DNN), each first SOT device comprising:
a first spin orbit torque layer;
a second spin orbit torque layer coupled to a first output terminal;
and
a ferromagnetic layer disposed between the first and second spin orbit torque layers,
wherein each first SOT device is individually configured to generate, via the second SOT layer, an output current responsive to a direction of the magnetization of the ferromagnetic layer and an input current, the output current being output through the first output terminal of each first SOT device;
and
a second layer of a plurality of second SOT devices configured to perform a second operation of a neural node of a deep neural network (DNN), each second SOT device comprising:
a first spin orbit torque layer coupled to a first input terminal;
a second spin orbit torque layer;
and
a ferromagnetic layer disposed between the first and second spin orbit torque layers,
wherein the output current of each first SOT device is configured to be input into the first input terminal of each second SOT device.

10 more elements

Dependencies are inferred from the claim text.

Deep Neural Network Device Based on Dual Spin Orbit Torque (SOT) Devices

Life of this patent

Deep Neural Network Device Based on Dual Spin Orbit Torque (SOT) Devices

Life of this patent

Abstract

Claims28