Large-Scale Statistics for Threshold Optimization of Optically Pumped Nanowire Lasers
Large-Scale Statistics for Threshold Optimization of Optically Pumped Nanowire Lasers is a scholarly work by Dhruv Saxena, Nian Jiang, Kun Peng, Lan Fu, Chennupati Jagadish, Patrick Parkinson, and Hark Hoe Tan, published in 2017 in ''Nano Letters''. The main subjects of the publication include wavelength, laser, optics, materials science, optoelectronics, Gain-switching, silicon photonics, Lasing threshold, semiconductor laser theory, quantum dot, statistics, Nanolaser, and nanowire. The authors present an all-optical characterization technique coupled to statistical analysis to correlate geometrical and material parameters with lasing threshold.