Multi-dipole weighted method for accurate light extraction simulation of micro-LEDs.

Area of Science:

• Optoelectronics
• Materials Science
• Semiconductor Devices

Background:

• Accurate light-extraction efficiency (LEE) evaluation is critical for optimizing inorganic micro-light-emitting diodes (micro-LEDs).
• Conventional LEE studies often use simplified dipole models, failing to represent real device emission characteristics.
• This can lead to inaccurate optimization for high-brightness, energy-efficient augmented/extended reality (AR/XR) microdisplays.

Purpose of the Study:

• To propose and evaluate a novel multi-dipole weighted (MDW) method for accurate LEE calculation in micro-LEDs.
• To address the limitations of single-dipole (SD) and multi-dipole averaging (MDA) methods in LEE simulations.
• To provide practical guidance for reliable optical simulation and structural design of micro-LEDs for AR/XR applications.

Main Methods:

• Developed a multi-dipole weighted (MDW) method for LEE calculation.
• Weighted summation of dipole LEEs using TCAD-derived radiative recombination fractions.
• Implemented and evaluated the MDW method within an integrated electrical and optical simulation framework.

Main Results:

• The MDW method provides a more accurate representation of LEE compared to SD and MDA methods.
• Systematic comparison across various structural parameters highlights the limitations of conventional approximations.
• The study demonstrates the effectiveness of the MDW method in improving LEE evaluation accuracy.

Conclusions:

• The proposed MDW method offers a significant advancement in accurately evaluating micro-LED LEE.
• This method overcomes the inaccuracies associated with simplified dipole models in current simulations.
• The findings are crucial for the development of next-generation AR/XR microdisplays demanding high performance and efficiency.