Multi-Quantum-Well LED Simulation Using Partitioned NEGF Modeling

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Solution Overview

Problem

Current state-of-the-art modeling approaches for carrier transport in multi-quantum-well light emitting diodes, such as GaN/InGaN LEDs, face challenges like efficiency droop and non-uniform light emission due to the lack of quantitative modeling, particularly with semi-classical physics missing or heuristically patching quantum effects, and the computational expense of advanced theories like NEGF formalism for complex devices.

Innovation Solution

A multi-scale model using the nonequilibrium Green's function (NEGF) formalism partitions the LED into local equilibrium and non-equilibrium regions, treating high carrier domains as reservoirs for carrier transport, and computes dynamics and kinetics within a multi-band tight binding Hamiltonian to accurately reproduce experimental I-V characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If semi-classical physics modeling is used for carrier transport in LEDs, then computational complexity is reduced, but quantum effects are missed or heuristically patched leading to unrealistic predictions

Engineering Contradiction:
Improvemodeling complexityVSAvoidprediction accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The device is divided into distinct regions (electrodes, transport layers, active region) with different modeling approaches applied to each. The NEGF formalism is applied specifically to quantum transport regions while classical drift-diffusion is used in reservoir regions, allowing accurate quantum effect modeling where needed while maintaining computational efficiency elsewhere.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different physical models are applied to different spatial regions based on their specific characteristics. Quantum mechanical NEGF modeling is used in regions where quantum effects dominate (transport layers and active region interfaces), while classical models are used in regions where they are sufficient (bulk reservoir regions), optimizing both accuracy and computational cost.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If NEGF formalism is used for carrier transport modeling, then quantum effects are accurately captured, but computational cost increases significantly for extended devices

Engineering Contradiction:
Improvequantum transport accuracyVSAvoidcomputational efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The device structure is segmented into reservoir regions and transport/active regions. NEGF formalism is applied only to the transport layers and active region where quantum effects are critical, while reservoir regions are treated with classical models, significantly reducing the computational domain requiring expensive quantum calculations.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The electrodes and transport layers serve as intermediaries between the classical reservoir regions and the quantum active region. The NEGF formalism is applied to these intermediate transport layers to accurately model carrier injection and extraction, while the bulk reservoirs use simpler models, creating a computationally efficient multi-scale approach.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If full 2D or 3D NEGF modeling is applied to extended LED devices, then comprehensive quantum transport is captured, but computational expense becomes prohibitive

Engineering Contradiction:
Improvequantum transport modeling accuracyVSAvoidcomputational resource requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The three-dimensional device is segmented into thin two-dimensional layers (electrodes, transport layers, active region layers). Each layer is modeled with appropriate dimensionality, allowing the use of 2D NEGF formalism for extended devices rather than prohibitively expensive full 3D quantum calculations, while still capturing essential quantum transport physics.

Inventive Principle:
Principle #1Segmentation

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 model provides a numerically efficient and physically consistent method for simulating carrier transport in extended LED devices, achieving quantitative agreement with experimental data and improving understanding of quantum mechanics-dominated carrier flow.

Implementation Method 1

The MQWs are coupled such that tunneling and thermionic transport as well as carrier capture into the quantum wells (QWs) need to be well understood

Methodology Applied
Scientific EffectTunneling:

Implementation Method 2

The MQWs are coupled such that tunneling and thermionic transport as well as carrier capture into the quantum wells (QWs) need to be well understood

Methodology Applied
Scientific EffectThermionic emission: Thermionic Emission

Implementation Method 3

Typical MQW diodes guide electrons and holes from opposite device ends through a complex heterostructure into confined quantum states which serve as radiative recombination centers

Methodology Applied
Scientific EffectQuantum confinement:

Data Source

PatentUS12050844B2Method and system for realistic and efficient simulation of light emitting diodes having multi-quantum-wells
Publication Date: 2024.07.30 PURDUE RES FOUND
  • US12050844B2 patent drawing
  • US12050844B2 patent drawing
  • US12050844B2 patent drawing

AI summary

The disclosure develops a multi-scale model that partitions the device into different spatial regions where the high carrier domains are treated as reservoirs in local equilibrium and serve as injectors and receptors of carriers into the neighboring reservoirs through tunneling and thermionic emission. The nonequilibrium Green's function (NEGF) formalism is used to compute the dynamics (states) and the kinetics (filling of states) in the entire extended complex device. The local density of states in the whole device is computed quantum mechanically within a multi-band tight binding Hamiltonian. The model results agree with experimental I-V curves quantitatively.