Abstract
Nanowire lasers are sought for near-field and on-chip photonic applications as they provide integrable, coherent, and monochromatic radiation: the functional performance (threshold and wavelength) is dependent on both the opto-electronic and crystallographic properties of each nanowire. However, scalable bottom-up manufacturing techniques often suffer from inter-nanowire variation, leading to differences in yield and performance between individual nanowires. Establishing the relationship between manufacturing controls, geometric and material properties, and the lasing performance is a crucial step toward optimisation; however, this is challenging to achieve due to the interdependance of such properties. Here, a high-throughput correlative approach is presented to characterise over 5000 individual GaAsP/GaAs multiple quantum well nanowire lasers. Fitting the spontaneous emission provides the threshold carrier density, while coherence length measurements determine the end-facet reflectivity. The performance is intrinsically related to the width of a single quantum well due to quantum confinement and bandfilling effects. Unexpectedly, there is no strong relationship between the properties of the lasing cavity and the threshold: instead the threshold is negatively correlated with the non-radiative recombination lifetime of the carriers. This approach therefore provides an optimisation strategy that is not accessible through small-scale studies.
Original language | English |
---|---|
Pages (from-to) | 2202476 |
Journal | Advanced Optical Materials |
Early online date | 27 Jan 2023 |
DOIs | |
Publication status | Published - 2023 |
Keywords
- high-throughput
- interferometry
- nanowire lasers
- photoluminescence
Fingerprint
Dive into the research topics of 'Holistic Nanowire Laser Characterization as a Route to Optimal Design'. Together they form a unique fingerprint.Datasets
-
Example analysis code for : Holistic Nanowire laser Characterisation as a Route to Optimal Design
Church, S. (Creator) & Parkinson, P. (Creator), University of Manchester Figshare, 27 Jan 2023
DOI: 10.48420/21865545, https://figshare.manchester.ac.uk/articles/software/Example_analysis_code_for_Holistic_Nanowire_laser_Characterisation_as_a_Route_to_Optimal_Design/21865545
Dataset