Gated Diode Oscillator Circuits for CMOS Neural Synchronization

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Solution Overview

Problem

Existing oscillatory neural networks face challenges with high reliability and low area/energy efficiency in CMOS circuits, and instability in non-CMOS technologies, limiting large-scale neural network implementation and processing speed.

Innovation Solution

An oscillatory neural network circuitry using gated diodes and resistors that generate and extinguish a positive feedback loop, coupled by capacitors or resistors, to solve combinatorial optimization problems and edge detection through synchronization characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If CMOS circuits are used for oscillators, then reliability is improved, but area and energy efficiency deteriorate

Engineering Contradiction:

Improveoscillator reliabilityVSAvoidenergy efficiency

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent changes the operating parameters of the oscillator by using a gated diode structure with adjustable gate voltages. By controlling the gate voltage parameters, the oscillator achieves reliable operation while improving energy efficiency through reduced power consumption compared to traditional CMOS oscillators.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces the traditional mechanical/electromagnetic oscillator structures with a semiconductor-based gated diode oscillator. This substitution enables better integration with CMOS processes while achieving superior energy efficiency and reliability through solid-state operation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If simple structure oscillators are used, then integration is improved, but device uniformity and stability deteriorate

Engineering Contradiction:

Improveoscillator structure complexityVSAvoiddevice stability

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent incorporates a feedback mechanism in the gated diode oscillator circuit. The feedback loop maintains stable oscillation by automatically adjusting the gate voltage based on the output signal, ensuring device uniformity and stability while keeping the overall structure simple and highly integrable.

Inventive Principle:

Principle #23Feedback

3Device complexity

If non-CMOS oscillator technologies are used, then integration is improved, but reliability deteriorates due to inherent instability

Engineering Contradiction:

Improveintegration levelVSAvoidoscillator stability

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent develops a gated diode oscillator that is universally compatible with standard CMOS processes. The oscillator can be integrated into various CMOS-based neural network circuits, providing both high integration level and reliable stable operation through its compatibility with existing CMOS fabrication processes.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Productivity

If von Neumann architecture is used, then processing capability is maintained, but data transmission speed deteriorates

Engineering Contradiction:

Improveprocessing capabilityVSAvoiddata transmission speed

Core Design Contradiction:

ProductivityVSSpeed

Solution Approach 1:

The patent merges the processor and memory functions into a unified oscillatory neural network circuit. By combining computation and storage in a single integrated circuit, the system eliminates the data transmission bottleneck between separate processor and memory units, achieving high processing capability with fast data access speeds.

Inventive Principle:

Principle #5Merging (Combining)

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 circuitry overcomes processing speed limitations and performance degradation by utilizing highly integrated oscillators applicable to CMOS processes, enabling efficient combinatorial optimization and edge detection.

Implementation Method 1

oscillators are realized by utilizing a gated diode and a resistor that repeatedly generate and extinguish a positive feedback loop

Methodology Applied

Scientific EffectPositive feedback loop: Feedback

Implementation Method 2

forming a potential barrier in the intrinsic region through electrostatic doping

Methodology Applied

Scientific EffectElectrostatic doping: Electrostatic Induction

Implementation Method 3

output terminals corresponding to portions where resistors are connected to the respective gated diodes are coupled with each other through either a capacitor or a resistor

Methodology Applied

Scientific EffectCapacitance: Capacitance

Implementation Method 4

output terminals corresponding to portions where resistors are connected to the respective gated diodes are coupled with each other through either a capacitor or a resistor

Methodology Applied

Scientific EffectElectrical resistance: Electrical Resistance

Data Source

PatentUS20260044718A1Oscillatory neural network circuitry using oscillators comprising gated diode

Publication Date: 2026.02.12 KOREA UNIV RES & BUSINESS FOUND

AI summary

Disclosed is an oscillatory neural network circuitry using oscillators including a gated diode. An oscillatory neural network circuitry according to an embodiment of the present disclosure using oscillators including a gated diode can represent at least two graph colors of an input graph based on phase differences in output voltages over time, as phase differences occur in the output voltages depending on time differences of input voltages applied to at least two gated diodes constituting at least two oscillators.