Transistor Reservoir Device with Parasitic-Capacitance Memory

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Solution Overview

Problem

Current reservoir devices for in-memory computing lack an integrated architecture suitable for memory devices and do not effectively utilize short-term memory characteristics for temporal/sequential information processing.

Innovation Solution

A reservoir device comprising a first and second transistor, with a storage node coupled between their gates and sources, allowing for write, read, and refresh operations based on input voltages, and a reservoir array with multiple rows and columns of such devices for parallel operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a reservoir device architecture is designed for in-memory computing, then computational capability is improved, but device integration complexity increases

Engineering Contradiction:
Improvecomputational capabilityVSAvoiddevice integration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent combines the reservoir computing functionality directly into the memory device architecture by utilizing the memory cell's inherent capacitance as the storage node, merging computation and memory functions into a single integrated structure. This eliminates the need for separate computational units and reduces overall system complexity.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The memory cell is designed to perform multiple functions: it serves as both a storage element and a computational unit for reservoir computing operations. The same hardware structure supports both data storage and temporal/sequential information processing, making the device universally applicable for both memory and computation tasks.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If short-term memory characteristic is utilized for temporal processing, then information processing capability is improved, but device structure complexity increases

Engineering Contradiction:
Improveinformation processing capabilityVSAvoiddevice structure complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The memory cell's inherent capacitance is utilized to provide the short-term memory characteristic needed for temporal processing. The device serves itself by using its own physical property (capacitance) to enable computational functionality, rather than requiring additional dedicated components for temporal processing.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes the operational parameters of the existing memory cell by applying specific voltage sequences and timing patterns that exploit the capacitance's charge retention property. This allows the cell to exhibit short-term memory behavior without structural modifications, maintaining simplicity while enabling temporal information processing.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If voltage state maintenance through parasitic capacitance is implemented, then computational accuracy is improved, but energy consumption increases

Engineering Contradiction:
Improvecomputational accuracyVSAvoidenergy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent converts the typically harmful effect of parasitic capacitance (which causes charge leakage and requires refresh operations) into a beneficial feature for computational accuracy. The parasitic capacitance is deliberately utilized to maintain voltage states representing computational data, transforming a source of error into a functional element that enhances measurement precision.

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

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 proposed architecture enables efficient reservoir computing by maintaining voltage states through parasitic capacitance, facilitating temporal/sequential information processing and integration into memory devices.

Implementation Method 1

The proposed architecture enables efficient reservoir computing by maintaining voltage states through parasitic capacitance

Methodology Applied
Scientific EffectParasitic capacitance: Parasitic Capacitance

Data Source

PatentUS12456513B2Reservoir device and reservoir array
Publication Date: 2025.10.28 MACRONIX INTERNATIONAL CO LTD
  • US12456513B2 patent drawing
  • US12456513B2 patent drawing
  • US12456513B2 patent drawing

AI summary

A reservoir device, comprises a first transistor and a second transistor. A gate of the first transistor is coupled to a write word line, a drain of the first transistor is coupled to a write bit line. A source of the second transistor is coupled to a read source line, a drain of the second transistor is coupled to a read bit line, and a gate of the second transistor is coupled to a source of the first transistor. A storage node is located on a coupling point between the gate of the second transistor and the source of the first transistor. The reservoir device selectively performs a write operation, a read operation or a refresh operation in response to an input voltage received by the write word line, the write bit line, the read source line and the read bit line respectively.