Freestanding polymeric microdisk laser based on a microfiber knot

Sun, Huijin; Zhang, Hua; Feng, Guoying; Zhou, Hao; Zhou, Shouhuan

doi:10.1088/1612-202x/aa6706

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…Whispering gallery mode microresonators (WGMs), with their main advantages of high quality factor and small volume, have been studied and achieved in nonlinear optics [1], cavity quantum electrodynamics [2], optoelectronic devices [3,4] and high-sensitivity sensors [5]. In microcavity sensor applications, they have been used in biological, chemical and physical aspects, including biomolecular detection [6][7][8], gas detection [9,10], solution concentration detection [11], temper ature sensing [12][13][14] and pressure sensing [15,16].…”

Section: Introductionmentioning

confidence: 99%

Temperature sensor based on high-Q polymethylmethacrylate optical microbubble

Sun

et al. 2018

Laser Phys.

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A new flexible method to fabricate a temperature sensor based on polymethylmethacrylate (PMMA) optical microbubbles, using a volume-controllable pipette, is demonstrated. The high quality factor of the cavity is guaranteed by the smooth wall of the microbubble. The shape and refractive index of the microbubbles change with the surrounding temperature, which leads to the obvious displacement of the whispering gallery mode transmission spectrum. As the surrounding temperature increases, the spectrum undergoes a significant blue shift, hence the microresonator can be used for temperature sensing. A sensitivity of 39 pm °C−1 is obtained in a PMMA microbubble with a diameter of 740 µm. This work suggests a new convenient approach to achieving high-quality flexible microscale sensors.

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Section: Introductionmentioning

confidence: 99%

Temperature sensor based on high-Q polymethylmethacrylate optical microbubble

Sun

et al. 2018

Laser Phys.

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“…PMNFs devices in practical, such as light-emitting 92 devices in micro/nano scale [15] and microlasers 93 [16]. Recently, the artificial neural network has been 94 employed for predicting the adsorption effect of 95 nanoparticles on water pollutants [17]- [21], which 96…”

Section: Introduction 55mentioning

confidence: 99%

Energy Attenuation Prediction of Dye-Doped PMMA Microfibers by Backpropagation Neural Network

Liu

Han

et al. 2022

IEEE Photonics J.

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To figure out the energy attenuation of micro/nanofibers (MNFs) more flexibly and conveniently, a backpropagation neural network (BPNN) is proposed to forecast the output intensity of rhodamine B (RhB) doped polymer microfibers (PMFs). According to the diameter, doping concentration, and propagation distance (L), we realize the L-dependence of output energy predictions for the excitation light (I E ) and fluorescence (I F ) of the doped PMFs. Hundreds of propagation distance-intensity data pairs acquired from dozens of RhB doped PMFs are used for the BPNN training. The prediction ability of the model is evaluated by the root-mean-square error (RMSE), the mean absolute percentage error (MAPE), and R 2 . The output intensity prediction performance of BPNN is compared with the traditional exponential-fitting (EF) method. The prediction results indicate that the two-hidden-layer network with one and seventeen neurons respectively provides the best performance. After training, BPNN gives a good intensity prediction for both the I E (RMSE=3.16 × 10 -2 , MAPE=7.3%, and R 2 =0.9802) and the I F (RMSE=0.91 × 10 -2 , MAPE=0.89%, and R 2 =0.9696) from the output end of the PMF with different diameters and doping concentrations. The energy losses of the two kinds of light from different doped PMFs are also calculated based on the predicted values, which are similar to the ones obtained from the EF method. The approach based on the BPNN prediction for the energy attenuation of the PMFs shows superiority in flexibility and applicability toward the traditional methods, which could promote the optimal design of the MNF devices and the practical application.

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“…The polymethylmethacrylate (PMMA) has also been reported in micro-nano resonators due to the above characteristics. Researchers have prepared a high-Q freestanding PMMA microdisk laser, but its mechanical strength is low, and it is difficult to prepare a microdisk with a regular shape, resulting in increased threshold [20]. In addition, dye-doped PMMA hollow fiber based on WGM has been realized.…”

Section: Introductionmentioning

confidence: 99%

Tunable laser emissions in freestanding high-Q polymethylmethacrylate microbubbles

Wang

Zhou

et al. 2020

Laser Phys. Lett.

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A freestanding dye-doped polymethylmethacrylate microbubble laser based on high-Q whispering gallery mode (WGM) is demonstrated. Low threshold tunable laser emissions are observed in microbubbles with different sizes fabricated by a volumetric pipette. The whispering gallery mode laser emissions in the 944 nm diameter microbubble have a low laser threshold of about 15 µJ pulse −1 and a 0.083 nm free spectral range. The smooth wall of the microbubble ensures a high quality factor of approximately 24 120. In addition, 590 nm-610 nm laser emission is achieved by the reabsorption effect of the dye. This work provides an efficient way to implement a freestanding,easily doped and low cost tunable WGM micro-laser.

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Freestanding polymeric microdisk laser based on a microfiber knot

Cited by 5 publications

References 22 publications

Temperature sensor based on high-Q polymethylmethacrylate optical microbubble

Temperature sensor based on high-Q polymethylmethacrylate optical microbubble

Energy Attenuation Prediction of Dye-Doped PMMA Microfibers by Backpropagation Neural Network

Tunable laser emissions in freestanding high-Q polymethylmethacrylate microbubbles

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