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Modeling with graded interfaces: Tool for understanding and designing record-high power and efficiency mid-infrared
Suraj Suri1, Benjamin B Knipfer2, Thomas Grange3
1University of Wisconsin-Madison, Madison, WI, 53706, USA.
Nanophotonics (Berlin, Germany)
|December 5, 2024
Summary
A new graded-interfaces model accurately predicts quantum cascade laser performance by accounting for interface roughness scattering. This model enables the design of superior mid-infrared QCLs with suppressed leakage and enhanced efficiency.
Area of Science:
- Optoelectronics and Photonics
- Semiconductor Physics
- Quantum Engineering
Background:
- Quantum cascade lasers (QCLs) are crucial for mid-infrared applications.
- Interface roughness (IFR) scattering significantly impacts QCL performance.
- Accurate modeling of IFR is essential for optimizing QCL design.
Purpose of the Study:
- To develop and validate a graded-interfaces model for mid-infrared QCLs.
- To accurately reproduce and understand the electro-optical characteristics of high-performance QCLs.
- To utilize the model for designing next-generation QCLs with improved efficiency.
Main Methods:
- Generalized formalism for interface-roughness (IFR) scattering.
- Modification of the IFR model for mid-infrared emitting quantum cascade lasers (QCLs).
- Atom-probe tomography analysis for IFR parameter extraction.
- Device design and simulation using the graded-interfaces model.
Main Results:
- Accurate reproduction of electro-optical characteristics for published record-performance QCLs.
- Identification of key factors for high performance: direct injection and photon-induced carrier transport.
- Quantification of high normalized leakage current density due to IFR-triggered shunt-type leakage.
- Design of an 8.1 µm-emitting QCL with suppressed carrier leakage and record wall-plug efficiency (22.2%).
Conclusions:
- The graded-interfaces model is a powerful tool for QCL design and optimization.
- Suppressed carrier leakage and optimized injection are critical for high-efficiency QCLs.
- The developed model facilitates the design of QCLs approaching fundamental performance limits.

