Paper
16 February 2018 Nonlinear behavior in hybrid microcavities
Author Affiliations +
Abstract
As a result of their ability to amplify input light, ultra-high quality factor (Q) whispering gallery mode optical resonators have found numerous applications spanning from basic science through applied technology. Because the Q is critical to the device’s utility, an ever-present challenge revolves around maintaining the Q factor over long timescales in ambient environments. The counter-approach is to increase the nonlinear coefficient of relevance to compensate for Q degradation. In the present work, we strive to accomplish both, in parallel. For example, one of the primary routes for Q degradation in silica cavities is the formation of water monolayers. By changing the surface functional groups, we can inhibit this process, thus stabilizing the Q above 100 million in ambient environments. In parallel, using a machine learning strategy, we have intelligently designed, synthesized, and verified the next generation of small molecules to enable ultra-low threshold and high efficiency Raman lasing. The molecules are verified using the silica microcavity as a testbed cavity. However, the fundamental design strategy is translatable to other whispering gallery mode cavities.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrea Armani, Dongyu Chen, Andre Kovach, Xiaoqin Shen, Hyungwoo Choi, and Soheil Soltani "Nonlinear behavior in hybrid microcavities", Proc. SPIE 10518, Laser Resonators, Microresonators, and Beam Control XX, 1051804 (16 February 2018); https://doi.org/10.1117/12.2289093
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KEYWORDS
Microresonators

Optical microcavities

Molecules

Raman spectroscopy

Silica

Machine learning

Nonlinear optics

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