Quantum Structure Modeling via Continuum Elasticity

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Solution Overview

Problem

Current methods for modeling and simulating quantum structures, such as quantum dots, face limitations in accuracy and computational efficiency, particularly in addressing strain-related effects and complex geometric shapes, which hinders rational design and fabrication.

Innovation Solution

A computational platform is developed that includes a processor-based system with input modules for parameter reception, solver modules for strain and piezoelectric calculations, and a Schrödinger solver for quantum mechanical properties, enabling the generation of detailed quantum structure models and reports for design and fabrication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If atomistic models are used to investigate strain-related effects on quantum structures, then measurement precision is improved, but device complexity increases due to expensive computational resources and large number of atomic input parameters required

Engineering Contradiction:
Improveaccuracy of strain effect predictionVSAvoidcomputational resource requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces a continuum elasticity model as an intermediary approach between atomistic models and simple analytical models. This model uses continuous displacement fields and strain tensors to represent the quantum structure and matrix, avoiding the need for detailed atomic configurations while still capturing strain effects accurately. The intermediary model reduces computational complexity by replacing discrete atomic calculations with continuous field equations.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent transforms the problem from atomic-scale parameters (individual atomic positions and interactions) to continuum-scale parameters (displacement fields, strain tensors, and elastic constants). This parameter transformation allows the use of fewer, more manageable parameters while maintaining accuracy in predicting strain effects on quantum structures.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If analytical models are used to investigate strain-related effects on quantum structures, then device complexity is reduced with easier implementation and computational efficiency, but measurement precision deteriorates due to limited range of application and accuracy for complicated geometric shapes

Engineering Contradiction:
Improveease of implementationVSAvoidaccuracy of strain effect prediction
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the quantum structure into discrete finite elements or mesh elements, allowing the continuum elasticity model to handle complex geometric shapes systematically. This segmentation enables the model to accommodate arbitrary geometries by dividing them into manageable elements, each contributing to the overall strain field calculation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent enhances the analytical approach by introducing continuum mechanics parameters (displacement vectors, strain tensors) that provide a more rigorous mathematical framework. This parameter enhancement allows the model to accurately describe strain fields in complex geometries while maintaining computational efficiency through analytical solution methods.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If calibrated analytical models are used based on atomistic simulation results, then measurement precision is improved for predicting strain effects, but device complexity increases and the model can only predict strain effects at the center of QD, not the entire strain profile

Engineering Contradiction:
Improveaccuracy of strain effect predictionVSAvoidmodel calibration requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent creates a universal continuum elasticity model that can predict strain effects throughout the entire quantum structure and matrix, not just at the center. The model uses general displacement field equations that apply to any location, making it multi-functional for analyzing strain profiles across the whole system rather than being limited to specific points.

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

Solution Approach 2:

The patent extracts the essential strain field information from atomistic simulations by fitting continuum elasticity parameters to atomistic results. This extraction process captures the key strain characteristics without requiring the full complexity of atomistic models, enabling efficient prediction of strain profiles throughout the structure.

Inventive Principle:
Principle #2Taking out (Extraction)

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 platform provides improved accuracy and efficiency in characterizing quantum structures, allowing for rational design and fabrication by accurately modeling strain and piezoelectric effects, overcoming previous methods' limitations.

Implementation Method 1

obtaining, using a piezo-electric solver module a piezoelectric energy change δEPiezo

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Data Source

PatentUS11636371B2Computational platform for quantum structures
Publication Date: 2023.04.25 WISYS TECHNOLOGY FOUNDATION INC
  • US11636371B2 patent drawing
  • US11636371B2 patent drawing
  • US11636371B2 patent drawing

AI summary

The present disclosure provides a computational platform for quantum structures. The computational platform includes an input module configured to receive parameter information corresponding to a quantum structure, and a processor programmed to carry out instructions stored in a computer-readable medium. The instructions include receiving, using the input module, the parameter information corresponding to the quantum structures, and generating a quantum structure model based on the parameter information received. The instructions also include determining at least one property of the quantum structure, and generating a report indicative of the at least one property determined. The computational platform also includes an output module for providing the report.