SoC Phase Transition Memory Integration

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Solution Overview

Problem

Current microprocessor and memory devices lack the necessary speed, density, and efficiency to meet the demands of the computing marketplace, necessitating the development of advanced systems on chip that incorporate phase transition and phase change materials.

Innovation Solution

The development of system on chips (SoCs) that integrate microprocessors electrically or optically with electronic and optical memory devices, utilizing phase transition materials like vanadium dioxide and phase change materials for improved performance, including embodiments with field effect transistors and optical connections through metallized semiconductor via holes and optical waveguides.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If conventional microprocessor and memory devices are used, then device complexity is maintained at current levels, but computing speed, density, and efficiency are insufficient

Engineering Contradiction:
Improvecomputing speedVSAvoiddevice complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The patent merges the microprocessor and memory device into a single integrated system on chip (SoC) architecture. The microprocessor and memory devices are fabricated on the same semiconductor substrate and interconnected through integrated wiring layers, eliminating the need for separate physical devices and external interconnects. This consolidation achieves higher computing speed through reduced signal transmission distances while managing complexity through standardized integration processes.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent utilizes three-dimensional vertical stacking of memory cells within the memory devices. Memory cells are arranged in multiple layers stacked vertically on the semiconductor substrate, with interconnect wiring extending through multiple levels. This vertical dimensionality increases memory density without proportionally increasing the planar footprint, thereby improving computing speed through faster data access while containing device complexity through vertical integration.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Quantity of substance

If memory device density is increased to meet marketplace demands, then storage capacity improves, but access speed and efficiency deteriorate

Engineering Contradiction:
Improvememory densityVSAvoidaccess speed
Core Design Contradiction:
Quantity of substanceVSSpeed

Solution Approach 1:

The memory device is segmented into multiple independent memory cells, each capable of storing one bit of data. These cells are arranged in arrays with row and column decoders that can independently access specific cells. This segmentation allows parallel access to multiple memory locations simultaneously, maintaining high access speed even as total memory density increases through additional cells.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements three-dimensional vertical stacking of memory cells with multiple interconnect levels. Data can be accessed through vertical vias and horizontal wiring in different layers, enabling parallel access paths. This multi-dimensional arrangement increases storage density while maintaining access speed by providing multiple concurrent access routes to different memory regions.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Productivity

If phase transition materials are integrated into the SoC architecture, then computing efficiency is enhanced, but manufacturing precision requirements increase

Engineering Contradiction:
Improvecomputing efficiencyVSAvoidmanufacturing precision
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent utilizes phase transition materials that change their electrical or optical properties in response to controlled parameter changes such as temperature, voltage, or optical intensity. These materials can be switched between distinct states (e.g., crystalline and amorphous phases) using standard semiconductor fabrication processes and existing memory cell structures. The parameter changes are achieved through conventional heating elements, voltage pulses, or optical sources that can be integrated into existing CMOS manufacturing workflows, thereby enhancing computing efficiency without excessively increasing manufacturing precision requirements.

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

These SoCs enhance computing speed, density, and efficiency by leveraging phase transition and phase change materials, enabling the creation of more effective electronic and optical memory devices that surpass the limitations of existing technologies.

Implementation Method 1

system on chip-a microprocessor electrically connecting with electronic memory devices and various embodiments of an electronic memory device are disclosed

Methodology Applied
Scientific EffectPhase transition: Phase Change

Implementation Method 2

optical connections through metallized semiconductor via holes and optical waveguides

Methodology Applied
Scientific EffectOptical waveguide transmission: Waveguide (optics)

Data Source

PatentUS9558779B2System on chip (SoC) based on phase transition and/or phase change material
Publication Date: 2017.01.31 CELERIS SYSTEMS INC
  • US9558779B2 patent drawing
  • US9558779B2 patent drawing
  • US9558779B2 patent drawing

AI summary

System on chips (SoCs) of a microprocessor electrically connected with electronic memory devices and/or optically connected with a optical memory device are disclosed along with various embodiments of building block of the microprocessor and the electronic memory devices, wherein the microprocessor can comprise digital unit and/or neural networks based unit.