1. High‐Precision Wavelength Tuning of GeSn Nanobeam Lasers via Dynamically Controlled Strain Engineering
- Author
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Youngmin Kim, Hyo‐Jun Joo, Melvina Chen, Bongkwon Son, Daniel Burt, Xuncheng Shi, Lin Zhang, Zoran Ikonic, Chuan Seng Tan, Donguk Nam, and School of Electrical and Electronic Engineering
- Subjects
Silicon Photonics ,General Chemical Engineering ,Electrical and electronic engineering [Engineering] ,General Engineering ,General Physics and Astronomy ,Medicine (miscellaneous) ,Identical Lasers ,General Materials Science ,Biochemistry, Genetics and Molecular Biology (miscellaneous) - Abstract
The technology to develop a large number of identical coherent light sources on an integrated photonics platform holds the key to the realization of scalable optical and quantum photonic circuits. Herein, a scalable technique is presented to produce identical on-chip lasers by dynamically controlled strain engineering. By using localized laser annealing that can control the strain in the laser gain medium, the emission wavelengths of several GeSn one-dimensional photonic crystal nanobeam lasers are precisely matched whose initial emission wavelengths are significantly varied. The method changes the GeSn crystal structure in a region far away from the gain medium by inducing Sn segregation in a dynamically controllable manner, enabling the emission wavelength tuning of more than 10 nm without degrading the laser emission properties such as intensity and linewidth. The authors believe that the work presents a new possibility to scale up the number of identical light sources for the realization of large-scale photonic-integrated circuits. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) National Research Foundation (NRF) Published version The research of the project was in part supported by the Ministry of Education, Singapore, under grant AcRF TIER 1 (No. RG 115/21). The research of the project was also supported by the Ministry of Education, Singapore, under grant AcRF TIER 2 (No. MOE2018-T2-2-011 (S)). This work was also supported by the National Research Foundation of Singapore through the Competitive Research Program (grant No. NRF-CRP19-2017-01), the National Research Foundation of Singapore through the NRF-ANR Joint Grant (No. NRF2018-NRF-ANR009 TIGER), and the iGrant of Singapore A*STAR AMEIRG (No. A2083c0053).
- Published
- 2023
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