Recently, nonlinear photonics has attracted considerable interest. Among the nonlinear effects, second harmonic generation(SHG) remains a hot research topic. The recent development of thin film lithium niobate(TFLN) t...Recently, nonlinear photonics has attracted considerable interest. Among the nonlinear effects, second harmonic generation(SHG) remains a hot research topic. The recent development of thin film lithium niobate(TFLN) technology has superior performances to the conventional counterparts. Herein, this review article reveals the recent progress of SHG based on TFLN and its integrated photonics. We mainly discuss and compare the different techniques of TFLN-based structures to boost the nonlinear performances assisted by localizing light in nanostructures and structured waveguides.Moreover, our conclusions and perspectives indicate that more efficient methods need to be further explored for higher SHG conversion efficiency on the TFLN platform.展开更多
基金supported by the National Natural Science Foundation of China(Nos.61775084,61705089,61705087,62075088,and 61505069)NSAF(No.U2030103)+3 种基金Guangdong Special Support Program(No.2016TQ03X962)Natural Science Foundation of Guangdong Province(Nos.2021A0505030036,2020A151501791,and 2021A1515011875)Open Fund of Guangdong Provincial Key Laboratory of Information PhotonicsTechnologyofGuangdongUniversityof Technology(No.GKPT20-03)Fundamental Research Funds for the Central Universities(No.11620444)。
文摘Recently, nonlinear photonics has attracted considerable interest. Among the nonlinear effects, second harmonic generation(SHG) remains a hot research topic. The recent development of thin film lithium niobate(TFLN) technology has superior performances to the conventional counterparts. Herein, this review article reveals the recent progress of SHG based on TFLN and its integrated photonics. We mainly discuss and compare the different techniques of TFLN-based structures to boost the nonlinear performances assisted by localizing light in nanostructures and structured waveguides.Moreover, our conclusions and perspectives indicate that more efficient methods need to be further explored for higher SHG conversion efficiency on the TFLN platform.
