Mobile-Ion Gate Electrode for Linear Neuromorphic Conductance

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Solution Overview

Problem

Conventional neuromorphic synaptic devices face limitations in achieving linear channel current change characteristics and multilevel states due to the restricted change width of currents, hindering high-precision data recognition and analog information storage.

Innovation Solution

A 3-terminal neuromorphic synaptic device with an oxide electrode-based gate electrode containing mobile ions, where the mass ratio of copper ions is adjusted between 84.2% and 93.7%, and an ion transport layer thickness of 20-30 nanometers, allowing for linear control of conductance through the use of materials like HfOx and CuOx, with a barrier layer to manage ion flow.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If a conventional transistor-based synaptic device is used, then the device structure is simple, but the channel current change characteristics are non-linear and multilevel states are limited

Engineering Contradiction:
Improvelinear channel current change characteristicsVSAvoiddevice structure
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent changes the material parameters by introducing mobile ions (copper ions with mass ratio 84.2%-93.7%) into the gate electrode and controlling the ion transport layer thickness (20-30 nm), which enables linear channel current change characteristics and expanded multilevel states without fundamentally changing the device structure

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The gate electrode is formed as a composite structure containing mobile ions (copper ions) in an oxide-based material, combining the benefits of conventional transistor structure with the linear characteristics of ion-based materials to achieve both simplicity and precision

Inventive Principle:
Principle #40Composite materials

2Measurement precision

If the gate voltage is repeatedly applied to conventional synaptic devices, then only five multilevel states (0-4) can be obtained, but expanding multilevel states further is technically limited

Engineering Contradiction:
Improvemultilevel statesVSAvoidexpansion capability
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

By changing the material composition parameters (mobile ion mass ratio 84.2%-93.7%) and structural parameters (ion transport layer thickness 20-30 nm), the device achieves linear current change that enables expansion beyond the conventional five multilevel states, providing continuous analog information storage capability

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces dynamic ion transport mechanisms where mobile ions can move within the gate electrode and ion transport layer in response to voltage applications, creating continuously adjustable conductance states rather than fixed discrete levels, thereby enabling expanded multilevel states

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If analog information storage is implemented in neuromorphic systems, then recognition preciseness increases, but conventional devices cannot provide linear current change for high preciseness

Engineering Contradiction:
Improverecognition precisenessVSAvoidlinear current change characteristics
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent achieves reliable linear current change characteristics by precisely controlling material parameters (mobile ion mass ratio 84.2%-93.7%, ion transport layer thickness 20-30 nm), which provides the foundation for high-precision analog information storage and human-level recognition accuracy

Inventive Principle:
Principle #35Parameter changes

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 device achieves a high recognition rate of about 87% with consistent conductance changes, enabling efficient and precise data processing and storage by modulating synaptic characteristics.

Implementation Method 1

an ion transport layer provided on the channel area, a gate electrode provided on the ion transport layer

Methodology Applied
Scientific EffectIon transport: Ion Repulsion/Attraction

Implementation Method 2

the gate electrode is formed of at least one of an oxide-based material including mobile ions, a chalcogenide-based material including the mobile ions, and a nitride-based material including the mobile ions

Methodology Applied
Scientific EffectMobile ion movement: Electrophoresis

Data Source

PatentUS12575337B2Oxide electrode-based 3-terminal neuromorphic synaptic device containing mobile ions, and method of manufacturing the same
Publication Date: 2026.03.10 KYUNGPOOK NAT UNIV IND ACADEMIC COOP FOUND
  • US12575337B2 patent drawing
  • US12575337B2 patent drawing
  • US12575337B2 patent drawing

AI summary

Disclosed is a 3-terminal neuromorphic synaptic device including a substrate, a source electrode and a drain electrode provided on the substrate to be spaced apart from each other, a channel area provided on the substrate to be electrically connected to the source electrode and the drain electrode, between the source electrode and the drain electrode, an ion transport layer provided on the channel area, a gate electrode provided on the ion transport layer, and a voltage application part that applies a gate voltage to the gate electrode. The gate electrode is formed of at least one of an oxide-based material including mobile ions, a chalcogenide-based material including the mobile ions, and a nitride-based material including the mobile ions.