Dual-Mode MTJ Magnetic Memory for Power-Speed Switching
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Solution Overview
Problem
Current magnetic memory technologies face limitations in implementing artificial intelligence on edge devices due to high power consumption and computing requirements, making it difficult to store and process large amounts of data efficiently.
Innovation Solution
A magnetic memory operating in dual mode, switching between volatile and non-volatile states by adjusting an energy barrier using electric fields, enabling low-power operation and high-speed data processing suitable for edge devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If magnetic memory operates in non-volatile mode for low-power operation, then power consumption is reduced, but data access speed decreases
Solution Approach 1:
The magnetic memory device dynamically switches between non-volatile mode (for low-power operation) and volatile mode (for high-speed data access) based on operational requirements. The energy barrier is adjusted to transition between states, allowing the system to optimize between power consumption and speed performance as needed.
Solution Approach 2:
The energy barrier parameter of the magnetic tunnel junction is changed by applying voltage to switch between non-volatile and volatile modes. This parameter change enables the system to transition between low-power and high-speed operational states, resolving the contradiction between these two performance characteristics.
2Speed
If magnetic memory operates in volatile mode for high-speed data processing, then data access speed improves, but power consumption increases
Solution Approach 1:
The system dynamically transitions between volatile mode (for high-speed processing) and non-volatile mode (for low-power operation) based on the operational context. This dynamic switching allows the memory to provide high-speed performance when needed while maintaining low power consumption during normal operation.
Solution Approach 2:
By changing the energy barrier parameter through voltage application, the system can switch between volatile and non-volatile modes. This parameter adjustment enables high-speed data access when performance is critical while reducing power consumption during standard operations.
3Quantity of substance
If current memory technologies are used for AI in edge devices, then data storage capacity is sufficient, but computing power and power consumption requirements cannot be met
Solution Approach 1:
The magnetic memory device performs multiple functions: it serves as both high-capacity storage and high-speed computing resource. By switching between volatile and non-volatile modes, the same memory structure can provide NAND-level capacity and SRAM-level speed, enabling AI workloads directly in edge devices without requiring separate specialized hardware.
Solution Approach 2:
The energy barrier parameter is adjusted to change the operational mode of the memory, enabling it to function as either high-capacity storage or high-speed computing memory. This parameter change allows the memory to meet both storage capacity and computing power requirements for AI applications in edge devices.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The magnetic memory achieves NAND-level capacity and SRAM-level speed, facilitating the use of artificial intelligence in edge devices with reduced power consumption and efficient data processing.
Implementation Method 1
The reason why data can be stored according to the direction of magnetization of the free layer is because of the Tunnel Magneto Resistance (TMR) effect that is if the magnetization direction of the free layer is the same as that of the fixed layer, the resistance decreases (logic 0), and if it is different, the resistance increases (logic 1).
Implementation Method 2
the magnetic memory operates in a volatile mode and a non-volatile mode by switching an energy barrier to one of a first state and a second state lower than the first state by an electric field applied to both ends of the MTJ stack
Data Source
AI summary
A magnetic memory operating in dual mode of the present disclosure includes a three-layer MTJ stack including a fixed layer with magnetization fixed by magnetic tunnel junction stack, a free layer with non-fixed magnetization, and a tunnel barrier layer disposed therebetween, wherein the magnetic memory operates in a volatile mode and a non-volatile mode by switching an energy barrier to one of a first state and a second state lower than the first state by an electric field applied to both ends of the MTJ stack.