Large-scale statistics for threshold optimization of optically pumped nanowire lasers

Juan Arturo Alanis Azuara, Dhruv Saxena, Sudha Mokkapati, Nian Jiang, Kun Peng, Xiaoyan Tang, Lan Fu, Hark Hoe Tan, Chennupati Jagadish, Patrick Parkinson

    Research output: Contribution to journalArticlepeer-review

    143 Downloads (Pure)

    Abstract

    Single nanowire lasers based on bottom-up III-V materials have been shown to exhibit room-temperature near-infrared lasing, making them highly promising for use as nanoscale, silicon-integrable and coherent light sources. While lasing behavior is reproducible, small variations in growth conditions across a substrate arising from the use of bottom-up growth techniques can introduce inter-wire disorder, either through geometric or material inhomogeneity. Nanolasers critically depend on both high material quality and tight dimensional tolerances, and as such, lasing threshold is both sensitive to, and a sensitive probe of such inhomogeneity. We present an all-optical characterization technique coupled to statistical analysis to correlate geometrical, and material parameters with lasing threshold. For these multiple-quantum-well nanolasers, it is found that low threshold is closely linked to longer lasing wavelength caused by losses in the core, providing a route to optimized future low-threshold devices. A best-in-group room temperature lasing threshold of 43 uJcm-2 under pulsed excitation was found, and overall device yields in excess of 50% are measured, demonstrating a promising future for the nanolaser architecture.
    Original languageEnglish
    JournalNano Letters
    Early online date21 Jul 2017
    DOIs
    Publication statusPublished - 2017

    Fingerprint

    Dive into the research topics of 'Large-scale statistics for threshold optimization of optically pumped nanowire lasers'. Together they form a unique fingerprint.

    Cite this