Reconfigurable Neuron Device via Ion Gate Regulation
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Solution Overview
Problem
Current artificial neuron memory devices face challenges such as high energy consumption, large area occupation, inability to simulate leakage characteristics, and limited integration due to complex circuit design and low controllability of leakage, which hinder their efficiency and effectiveness in mimicking biological neurons.
Innovation Solution
A reconfigurable neuron device based on ion gate regulation is developed, comprising a synthetic antiferromagnetic layer, metal oxide layer, and ionic liquid layer, where the application of an input voltage regulates the movement of oxygen ions to adjust charge accumulation, leveraging the RKKY effect to control the leakage movement speed of magnetic domain walls, thus enabling controllable leakage and spike signal output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional circuit-based neuron devices are used, then leakage characteristics can be simulated, but energy consumption increases and device area expands
Solution Approach 1:
The patent replaces traditional circuit-based neuron devices with a magnetic memory-based neuron device that utilizes magnetic domain wall motion and RKKY interaction to simulate neuronal leakage characteristics, thereby reducing energy consumption while maintaining functional reliability
Solution Approach 2:
The patent adjusts the RKKY interaction parameter through synthetic antiferromagnetic coupling to precisely control the leakage movement speed of magnetic domain walls, enabling regulation of leakage characteristics without increasing energy consumption
2Use of energy by moving object
If magnetic memory-based neuron devices are used, then energy consumption is reduced, but leakage characteristics cannot be simulated or regulated
Solution Approach 1:
The patent modifies the RKKY interaction strength by adjusting the synthetic antiferromagnetic coupling parameters, which directly controls the leakage movement speed of magnetic domain walls, thereby enabling both simulation and regulation of leakage characteristics with low energy consumption
Solution Approach 2:
The patent introduces dynamic regulation of leakage characteristics through controllable magnetic domain wall motion driven by spin transfer torque, allowing the neuron device to simulate biological leakage behavior while maintaining low power operation
3Adaptability or versatility
If existing neuron devices are integrated, then device functionality is achieved, but integration complexity increases and area occupation expands
Solution Approach 1:
The patent merges multiple neuron functions (integration, leakage, spike output) into a single magnetic memory device structure, eliminating the need for separate circuit components and reducing overall device area while maintaining full functionality
Solution Approach 2:
The magnetic memory-based neuron device performs multiple neuronal functions simultaneously - signal integration through magnetic domain wall motion, leakage simulation through RKKY interaction, and spike output through magnetization switching - within a single device structure, improving integration efficiency
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
This solution allows for efficient regulation of leakage characteristics, reduced energy consumption, and improved integration, effectively simulating human brain neuron functions, including accumulation, spike output, and controllable leakage, facilitating the development of neural networks and artificial intelligence.
Implementation Method 1
an oxygen ion in the metal oxide layer moves along with a distribution of the positive ion in the ionic liquid layer and the negative ion in the ionic liquid layer to adjust a charge accumulation at a top interface of the synthetic antiferromagnetic layer
Implementation Method 2
so that a leakage movement speed of a magnetic domain wall at a bottom portion of the synthetic antiferromagnetic layer is regulated through a RKKY effect
Implementation Method 3
the first ferromagnetic layer and the ferromagnetic free layer constitute an antiferromagnetic coupling through the RKKY effect of the coupling layer
Data Source
AI summary
Provided are a reconfigurable neuron device based on ion gate regulation and a method of preparing the same. The device includes: a synthetic antiferromagnetic layer, a metal oxide layer, an ionic liquid layer and a top electrode layer which are sequentially stacked from bottom to top. A left boundary antiferromagnetic layer and a right boundary antiferromagnetic layer having opposite magnetization directions are provided on two opposite edges of a bottom end of the synthetic antiferromagnetic layer, and a magnetic tunnel junction configured to output a spike signal is further provided in a middle portion of the bottom end of the synthetic antiferromagnetic layer. The metal oxide layer, the ionic liquid layer and the top electrode layer constitute an ion gate, the ionic liquid layer includes a positive ion and a negative ion.