
- High Power Laser Science and Engineering
- Vol. 12, Issue 1, 010000e5 (2024)
Abstract
Keywords
1. Introduction
Vortices exist ubiquitously in different disciplines of physics, from fluid dynamics to optics. Vortex beams carrying orbital angular momentum (OAM) can greatly promote the development of light–matter interactions that have particular significance for fundamental physics and cutting-edge techniques[1–8]. Although paraxial eigen modes such as the Laguerre-Gaussian modes have a propagation invariant beam structure, the intrinsic OAM-dependent radial structure also greatly limits its application prospects in high-intensity related applications, such as inertial confinement fusion (ICF). Unlike OAM eigen modes, so-called perfect vortex beams (PVBs) feature a size-tunable and OAM-independent annulus profile, which can be used for effective OAM mode multiplexing in the high-capacity communication system as well as in optical trapping[9,10].
Generally, a high-intensity beam with uniform intensity distribution and low coherence is preferred in ICF to uniformly compress and heat the fuel target[11–13]. The further combination of a vortex beam could control the laser plasma, which would directly affect the fuel density and temperature that are crucial for fusion ignition[14,15]. In addition, the realization of the high-intensity beam also relies on uniform amplification by avoiding the intensity-dependent nonlinear effects[12,13]. However, conventional PVBs with nonuniform annulus intensity are not very suitable for relay signal amplification and firm particle trapping[16]. Although conventional flat-top beams have been investigated widely, they mainly concentrate on an intensity-only profile, not the vortex field that is preferred here. Therefore, all of these features pose a great demand for vortex beam shaping not only in the topological charge but also in the transverse intensity profiles. On the other hand, for temporal coherence, non-polarized vortex light from a random fiber laser (RFL) can contribute to a low-coherence laser seed that is greatly desirable in ICF[17] but cannot be efficiently created by a conventional liquid-crystal-based spatial light modulator directly using the non-polarized RFL. Aiming at addressing these requirements, a high-quality laser seed, that is, a low-coherence PVB with both a flat-top intensity profile and a flexibly manipulated high topological charge, is urgently needed, which has been seldom investigated to date.
Here, we report a flexibly tunable low-coherence PVB generation based on the super-pixel wavefront-shaping technique by employing a polarization-independent digital micromirror device (DMD) and an RFL light source. The topological charge of the low-coherence PVB has been optimized to as high as 140. More importantly, to address the nonuniform intensity distribution, we propose a globally adaptive feedback algorithm (GAFA) to further optimize the super-Gaussian PVB, which can efficiently suppress the intensity fluctuation and produce a flat-top PVB with a tunable high topological charge. In the GAFA-based wavefront-shaping operation, the feedback of the target intensity is considered individually in combination with a weighting and average filtering process. Theoretical and experimental results coincide well for the PVB generation process, while it is worth noting that the theoretically calculated beam speckle contrast value is only achieved under the ideal speckle suppression condition, which is difficult to achieve in practice. The proposed flat-top PVB generation technique can not only alleviate the requirements for ideal incident illumination but also provide a route to achieving high-quality vortex beams for various important applications.
Sign up for High Power Laser Science and Engineering TOC. Get the latest issue of High Power Laser Science and Engineering delivered right to you!Sign up now
2. Results
2.1. Perfect vortex beam generation
Conventional vortex beams, or rather, the paraxial eigenmodes carrying OAM, such as the Laguerre-Gaussian modes, have a topological charge dependent ring radius, that is, the diameter of the central dark hollow increases gradually with the growth of the topological charge[18]. In contrast, PVBs are featured with size-tunable and OAM-independent annulus patterns despite only being true at the Fourier plane. This ‘perfect’ OAM-carrying light provides a unique interface of light–matter interaction and thus has important applications in optical trapping and manipulation, quantum information processing[19], etc. The complex field of an ideal PVB with the topological charge of l is defined in the following model[9]:
Figure 1 depicts a schematic diagram of the PVB generation and the corresponding characterization (see Section 4 for details). The experimental setup consists of three major parts: an incident light source, a vortex beam generation section using the super-pixel wavefront-shaping technique and a Mach–Zehnder interferometer for the vortex phase verification.
Figure 1.Schematic diagram of the PVB generation and the corresponding characterization sections. LD, laser diode; HR-FBG, high-reflectivity fiber Bragg grating; YDF, ytterbium-doped fiber; CPS, cladding power stripper; SMF, single-mode fiber; ISO, isolator; DMD, digital micromirror device; BS, beam splitter; CCD, charge-coupled device.
To facilitate the potential use in the ICF application mentioned above, we chose the well-known RFL as the incident light to be converted[22]. The RFLs have been extensively studied and widely applied in applications such as high-power[23,24] and high-efficiency lasing[25], flexibly tunable[26–28] and special wavelength emission[29,30], supercontinuum generation[31] and narrow linewidth lasing[32]. In particular, the low-coherence feature of RFLs makes them easy to be scaled up to high-intensity beams. Recently, a spectrum-tailored low-coherence RFL has been amplified to megawatt-class peak power, which shows great potential for the ICF laser facility[17]. The salient properties of RFLs are highlighted by the non-resonant lasing structure, the strongly suppressed temporal intensity fluctuation[33] and the low spatial coherence[34], which are promising for the laser seed of ICF. Although random vortex beams have been reported based on the spatial light modulator[35] and long period fiber grating[36], the performances in terms of the achievable topological charge and the beam profile quality still have huge room for improvement. Here, a half-open cavity-based random lasing light source is employed. The optical feedback is provided by a highly reflective fiber Bragg grating (HR-FBG) point reflector and the random distributed backscattered Rayleigh scattering along a single-mode fiber (SMF), while the optical amplification is provided by the active gain of a ytterbium-doped fiber (YDF). The characteristics of the employed low-coherence random lasing light source are discussed in detail in
Typically, the generation of vortex beams can be classified into passive and active. For passive generation, a Gaussian beam can be converted into a vortex beam by employing a spiral phase plate[37] q-plate[38], long period fiber grating[39] or spatial light modulator[40], while for the latter approach, the vortex laser emission is directly excited within a resonant cavity[41,42]. Here, super-pixel wavefront shaping, which only employs a binarized spatial light modulator[43], that is, a DMD, is applied to excite the PVB. The DMD-based light field modulation has significant advantages due to its high-speed light modulation, relatively broadband spectral response, polarization-independent incident light and excellent power handling capability. Therefore, DMD-based structure light modulation is particularly suitable for incoherent incident light. Recently, super-pixel wavefront shaping has also been widely used for vortex beam generation[21,44–46]. In the super-pixel wavefront-shaping technique, contiguous pixels (e.g., 4×4 pixels) on the DMD plane compose a so-called super-pixel that links with one pixel on the output imaging plane. By selectively turning on the individual DMD pixels, versatile light modulation in the complex field (i.e., both the amplitude and the phase profiles) can be realized with a spatial filter deployed on the Fourier plane of a 4f system that segregates the first-order diffraction light from the others. A binarized DMD pattern could be transformed from the target intensity and phase profiles through a pre-calculated lookup table, which is further loaded on the DMD and shapes the incident beam.
For external modulator-based passive vortex beam generation, another key factor that determines the quality of the vortex beam is the performance of the employed modulator, for example, the total number of modulation elements and the size of each element. Vortex beam generation with a super-high topological charge, that is, a more delicate and complex phase variation in the azimuthal direction, places a much higher demand on the number of involved modulation elements. To make full use of the DMD pixels and achieve a topological charge as high as possible with the super-pixel wavefront-shaping technique, the radius of the vortex beam is supposed to be enlarged while decreasing its width. Therefore, two typical groups of PVB (i.e., one group with lower topological charges and the other with higher topological charges) generation have been considered here as representatives, as shown in Figure 2. Here, for the lower topological charge group (l = 1, 2 and 3), the radius r0 and width
Figure 2.Generation of a PVB using super-pixel wavefront shaping. The target intensity (a) and phase (b) profiles of the PVBs. (c) Binary DMD patterns. Theoretical intensity (d) and phase (e) profiles of the output using super-pixel wavefront shaping. (f) Experimentally measured intensity profiles.
With the generated DMD patterns, the desired PVB output is the first-order diffraction light in a 4f system, which should be filtered out from the outgoing mode of the DMD by placing an iris diaphragm on the Fourier plane. This process could be numerically calculated based on wave optics:
where
Apart from the topological charge-independent intensity profiles, the characteristics of the generated PVBs are also further investigated in
Figure 3.Flat-top PVB generation. The target intensity (a) and phase (b) profiles of the flat-top PVBs. (c) Binary DMD patterns. Theoretical intensity (d) and phase (e) profiles of the flat-top PVBs. (f) Experimentally measured intensity profiles.
2.2. Flat-top perfect vortex beam generation
It is noticed that the conventional Gaussian model-defined target intensity should be further optimized when trying to excite a flat-top PVB. To address this problem, a super-Gaussian apodization is employed for the flat-top PVB generation as defined in the following equations[47]:
In super-pixel wavefront shaping, the unmodulated incident beam is supposed to be an ideal plane wave that is uniformly distributed. However, in the practical experiment, the non-flat-top PVB can result in nonuniform incident illumination, that is, a Gaussian-shaped intensity distribution from a fiber laser. The degeneration of the intensity modulation in the super-pixel wavefront shaping due to the nonuniform illumination is discussed in detail in
Figure 4.Block diagram of the GAFA-based wavefront shaping for flat-top PVB generation. TP, target phase; TI, target intensity; MI, measured intensity.
To suppress the nonuniform intensity distribution of the generated PVBs, GAFA-based wavefront shaping is proposed as the block diagram shown in Figure 4. For the nth iteration, using the target phase (TP) and target intensity (TIn), a binary DMD pattern Dn can be generated. After loading the Dn to the DMD, the measured intensity MIn is captured on the camera. To regulate the target intensity, the difference between MIn and TIn is calculated by equation
Figure 5.Evolution of the measured intensity profiles under GAFA-based feedback modulation. (a) The unmodulated intensity profiles. (b)–(e) The real-time intensity profiles for iteration numbers 2, 5, 40 and 50, respectively.
Figure 6.Characteristics of flat-top PVB generation. Evolution of the speckle contrast and the mean intensity value for topological charges of 1 and 20 (a1), 50 and 100 (a2). Evolution of the curve in the central cross-section for the topological charges of 1 (b1), 20 (b2), 50 (b3) and 100 (b4). Interference patterns of the modulated flat-top PVB for the topological charges of 1 (c1), 20 (c2), 50 (c3) and 100 (c4).
Figure 5 shows the result of the GAFA-based wavefront shaping in realizing a flat-top PVB. Here, the parameters of the original target intensity and phase profiles are the same as those in Figure 3. With the increase of the feedback iteration number, the original intensity profiles in Figure 5(a) gradually become flat with strong suppression of the intensity in the inner annulus region. When the iteration number reaches 40, the intensity profiles in all four PVB cases exhibit excellent intensity uniformity, as shown in Figure 5(d). With another 10 iterations, the mean intensity of the PVB even increases. In addition, during the GAFA wavefront shaping, all the features of the annulus, that is, the radius, the width and the sharpness of the edge, remain unaffected, which indicates the robustness of the proposed method. Given that the frame rate of the employed DMD is 12.5 kHz, the optimization speed is restricted by the frame rate of the charge-coupled device (CCD) camera (i.e., 15 frames per second), which can be improved by using a high-speed CCD.
In order to give a more detailed analysis, the evolutionary characteristics of flat-top PVB generation using GAFA-based wavefront shaping are provided in Figure 6. Firstly, the beam speckle contrast and the mean intensity variation versus the iteration number are depicted in Figure 6(a). It is shown that for the lower topological charge group, the contrast is greatly reduced from the original 0.1582 to 0.0809 for l = 1 and from 0.1620 to 0.0884 for l = 20, while for the higher topological charge group, the contrast is reduced from the original 0.1638 to 0.1241 for l = 50 and from 0.1511 to 0.1253 for l = 100. It is observed that the contrast reduction is more notable for the group with a wider annulus (i.e., the lower topological charge groups l = 1 and 20) compared to those with a narrower annulus (i.e., the higher topological charge groups l = 50 and 100). It is speculated that by involving a larger number of modulation elements and reducing the size of an individual element simultaneously, the residual intensity fluctuation could be further flattened and the beam speckle contrast could approach the theoretical values of the flat-top PVB calculated in Figure 3 as much as possible. In addition, the original Gaussian-shaped illumination profile also plays a great role in the deviation of the beam speckle contrast from theoretical ones since the Gaussian profile is far different from an ideal plane wave. Moreover, the mean intensity still maintains at a reasonable level without sacrificing too much, which indicates the high efficiency of the proposed GAFA-based wavefront shaping.
Secondly, the evolution of the curves in the central cross-section for the original beams and the beams after several feedback iterations is also given in Figure 6(b). The intensity in the inner region is strongly suppressed under the feedback modulation while the intensity in the outer region remains relatively stable. It can be interpreted that the proposed GAFA-based wavefront shaping is more powerful in suppressing the stronger intensity rather than boosting the lower intensity, which is limited by insufficient light illumination. This also accounts for the drop of the mean intensity for the first 20 iterations in Figure 6(a) due to the strongly suppressed inner intensities. After the inner and the outer intensities of the annulus become the same level, the mean intensity then gradually increases due to the speckle suppression and intensity redistribution with further adaptive modulation. Finally, the modulated flat-top PVBs are also verified through the Mach–Zehnder interferometer, as shown in Figure 6(c). The number of the spiral stripes extending outward from the center all coincides with the corresponding topological charge, which indicates that the proposed feedback modulation maintains the spiral phase feature. Therefore, with the assistance of the GAFA-based wavefront shaping, the original ununiform PVBs have all been modified into flat-top ones.
3. Discussion and conclusion
Low-coherence light sources have particular importance in applications such as ICF. As a spatial light modulator, DMD-based super-pixel wavefront shaping is preferred in regulating the non-polarized low-coherence RFL in contrast to a conventional liquid-crystal-based spatial light modulator that requires polarized incidence. By optimizing the annulus structure of the target PVBs, the achieved maximum topological charge here is 140. One needs to either upgrade the performance of the DMD (e.g., the amount of DMD pixels) or employ a more advanced wavefront-shaping algorithm to further increase the topological charge. On the other hand, even if the low-coherence light and the super-Gaussian apodization are combined, the experimentally measured PVBs still show nonuniform intensity distribution, which is adverse to the realization of high-intensity PVBs. This is mainly attributed to the non-ideal illumination, that is, the plane wave. The proposed GAFA-based wavefront shaping can greatly suppress the laser speckle contrast. However, even though the experimentally realized contrasts are comparable to the conventional flat-top beams employed in high-intensity beam generation and ICF, there is still room for improvement according to the numerically calculated values. This could also be optimized by upgrading the performance of the DMD.
The realized flat-top PVB has great potential in practical applications. Firstly, for ICF and laser processing, the flat-top PVB can be directly used as the seed laser for high-intensity vortex beam generation by subsequent amplification stages. Secondly, in optical communications, the flat-top intensity profile benefits the expansion of the effective communication channel thanks to the alleviated intensity-dependent nonlinear effect. Thirdly, the flat-top PVB can also provide a strong gradient force in the small inner annulus edge while maintaining a high topological charge, which can be used for the firm trapping application. In addition, it is speculated that the GAFA-based wavefront shaping could not only alleviate the requirements for uniform incident illumination in the generation of flat-top vortex beams but also efficiently increase the fidelity of the measured profile with respect to the target one.
In conclusion, low-coherence PVBs with high topological charges have been demonstrated by random fiber lasing and DMD-based super-pixel wavefront shaping. To address the nonuniform intensity distribution of the experimentally obtained low-coherence PVBs, the GAFA-based wavefront shaping is proposed, and flat-top PVBs with dramatically suppressed beam speckle contrast have been realized. The theoretical calculation of the beam generation coincides well with the experimental results, in terms of the variation tendency. It should be noted that the discrepancy between the theoretical speckle contrast and the experimental one results from the imperfect speckle suppression condition for the proposed method. It is speculated that GAFA-based wavefront shaping could not only alleviate the requirements for uniform incident illumination in the generation of flat-top vortex beams but also efficiently increase the fidelity of the measured profile with respect to the target one. More importantly, high-quality flat-top PVBs would facilitate potential applications that require high-intensity vortex beams, such as ICF, optical communication and optical trapping.
4. Experimental details
The fiber laser source employs a half-open cavity-based low-coherence random lasing structure that is composed of a 1064 nm HR-FBG (3 dB bandwidth, 2.6 nm), 5-m length YDF (Nufern, LMA-YDF-10/130-VIII) and a spool of 4-km length SMF (YOFC, SM28). The cladding pump of the gain fiber is applied by injecting a 976 nm laser diode (LD) into the YDF through a signal/pump combiner. A cladding power stripper (CPS) is inserted between the YDF and the SMF to strip the unabsorbed pump light. To eliminate any potential feedback from the following parts and insure a half-open structure, an isolator (ISO) is fusion spliced at the distal end of the SMF.
To excite the vortex beam and characterize its phase profile, the output of the random lasing is split into two paths using a 3 dB coupler. Both of the output ports are mounted on a 2D translation stage and further collimated by a convex lens (focal length of 6.2 mm). For the vortex beam excitation path, the collected light irradiates on the surface of a DMD (1280×800 pixels, DLP650LNIR, Texas Instruments) via a highly reflective mirror. After being modulated by the loaded DMD pattern, the desired beam profile is filtered out in a 4f system (composed of two convex mirrors with focal lengths of 75 and 35 mm, respectively) where an iris diaphragm is placed on the Fourier plane to block all but the first-order diffraction light.
A Mach–Zehnder interferometer is built to characterize the spiral phase front of the generated vortex beam by introducing a reference beam and combining it with a vortex beam using a non-polarizing cube beam splitter (BS). Both the excited vortex beam profile and the interference pattern are monitored by a CCD (DCU224M, Thorlabs).
References
[1] L. Allen, M. W. Beijersbergen, R. J. C. Spreeuw, J. P. Woerdman. Phys. Rev. A, 45, 8185(1992).
[2] J. Wang, J. Yang, I. M. Fazal, N. Ahmed, Y. Yan, H. Huang, Y. Ren, Y. Yue, S. Dolinar, M. Tur, A. E. Willner. Nat. Photonics, 6, 488(2012).
[3] L. Paterson, M. P. MacDonald, J. Arlt, W. Sibbett, P. E. Bryant, K. Dholakia. Science, 292, 912(2001).
[4] F. Tamburini, G. Anzolin, G. Umbriaco, A. Bianchini, C. Barbieri. Phys. Rev. Lett., 97, 163903(2006).
[5] X. Fang, H. Ren, M. Gu. Nat. Photon., 14, 102(2020).
[6] R. Fickler, R. Lapkiewicz, W. N. Plick, M. Krenn, C. Schaeff, S. Ramelow, A. Zeilinger. Science, 388, 640(2012).
[7] R. Ficklera, G. Campbelld, B. Buchlerd, P. K. Lamd, A. Zeilinger. Proc. Natl. Acad. Sci. USA, 113, 13642(2016).
[8] W. T. Buono, A. Forbes. Opto-Electron. Adv., 5, 210174(2022).
[9] A. S. Ostrovsky, C. Rickenstorff-Parrao, V. Arrizón. Opt. Lett., 38, 534(2013).
[10] P. Vaity, L. Rusch. Opt. Lett., 40, 597(2015).
[11] C. Labaune. Nat. Phys., 3, 680(2007).
[12] Y. Cui, Y. Gao, D. Rao, D. Liu, F. Li, L. Ji, H. Shi, J. Liu, X. Zhao, W. Feng, L. Xia, J. Liu, X. Li, T. Wang, W. Ma, Z. Sui. Opt. Lett., 44, 2859(2019).
[13] Y. Gao, L. Ji, X. Zhao, Y. Cui, D. Rao, W. Feng, L. Xia, D. Liu, T. Wang, H. Shi, F. Li, J. Liu, P. Du, X. Li, J. Liu, T. Zhang, C. Shan, Y. Hua, W. Ma, Z. Sui, J. Zhu, W. Pei, S. Fu, X. Sun, X. Chen. Opt. Lett., 45, 6839(2020).
[14] J. Vieira, J. T. Mendonça. Phys. Rev. Lett., 112, 215001(2014).
[15] W. Wang, K. Feng, L. Ke, C. Yu, Y. Xu, R. Qi, Y. Chen, Z. Qin, Z. Zhang, M. Fang, J. Liu, K. Jiang, H. Wang, C. Wang, X. Yang, F. Wu, Y. Leng, J. Liu, R. Li, Z. Xu. Nature, 595, 516(2021).
[16] Y. Yang, Y. Ren, M. Chen, Y. Arita, C. Rosales-Guzmán. Adv. Photonics, 3, 034001(2021).
[17] M. Fan, S. Lin, K. Yao, Y. Qi, J. Zhang, J. Zheng, P. Wang, L. Ni, X. Bao, D. Zhou, B. Zhang, K. Xiao, H. Xia, R. Zhang, P. Li, W. Zheng, Z. Wang. Matter Radiat. Extremes, 8, 025902(2023).
[18] Y. Shen, X. Wang, Z. Xie, C. Min, X. Fu, Q. Liu, M. Gong, X. Yuan. Light Sci. Appl., 8, 90(2019).
[19] L. Zeng, Y. H. Ye, M. X. Dong, W. H. Zhang, E. Z. Li, D. C. Li, D. S. Ding, B. S. Shi. Opt. Lett., 48, 477(2023).
[20] M. Chen, M. Mazilu, Y. Arita, E. M. Wright, K. Dholakia. Opt. Lett., 38, 4919(2013).
[21] Y. Chen, Z. X. Fang, Y. X. Ren, L. Gong, R. D. Lu. Appl. Opt., 54, 8030(2015).
[22] S. K. Turitsyn, S. A. Babin, A. E. El-Taher, P. Harper, D. V. Churkin, S. I. Kablukov, J. D. Ania-Castañón, V. Karalekas, E. V. Podivilov. Nat. Photonics, 4, 231(2010).
[23] Z. Wang, H. Wu, M. Fan, L. Zhang, Y. Rao, W. Zhang, X. Jia. IEEE J. Sel. Top. Quantum Electron., 21, 0900506(2015).
[24] H. Zhang, L. Huang, J. Song, H. Wu, P. Zhou, X. Wang, J. Wu, J. Xu, Z. Wang, X. Xu, Y. Rao. Opt. Lett., 44, 2613(2019).
[25] I. D. Vatnik, D. V. Churkin, E. V. Podivilov, S. A. Babin. Laser Phys. Lett., 11, 075101(2014).
[26] S. A. Babin, A. E. El-Taher, P. Harper, E. V. Podivilov, S. K. Turitsyn. Phys. Rev. A, 84, 021805(2011).
[27] L. Zhang, H. Jiang, X. Yang, W. Pan, S. Cui, Y. Feng. Sci. Rep., 7, 42611(2017).
[28] Y. L. Zhang, S. S. Wang, M. Z. She, Y. J. Rao, W. L. Zhang. Photon. Res., 11, 20(2023).
[29] R. Ma, X. Quan, J. Liu, T. Zhao, D. Y. Fan. J. Lightwave Technol., 40, 3942(2022).
[30] H. Wu, W. Wang, Y. Li, C. Li, J. Yao, Z. Wang, H. Liang. J. Lightwave Technol., 40, 2965(2022).
[31] R. Ma, Y. J. Rao, W. L. Zhang, X. Zeng, X. Dong, H. Wu, Z. N. Wang, X. P. Zeng. IEEE J. Select. Topics Quantum Electron., 24, 0901105(2018).
[32] D. Leandro, S. Rota-Rodrigo, D. Ardanaz, M. Lopez-Amo. J. Lightwave Technol., 33, 3591(2015).
[33] B. Han, Y. Rao, H. Wu, J. Yao, H. Guan, R. Ma, Z. Wang. Opt. Lett., 45, 5804(2020).
[34] R. Ma, Y. J. Rao, W. L. Zhang, B. Hu. IEEE J. Sel. Top. Quantum Electron., 25, 0900106(2019).
[35] X. Ma, J. Ye, Y. Zhang, J. Xu, J. Wu, T. Yao, J. Leng, P. Zhou. Photon. Res., 9, 266(2021).
[36] G. Y. Yu, Z. Huang, R. Ma, Z. Y. Bai, R. Liu, D. Y. Fan, J. Liu. Opt. Laser Technol., 162, 109283(2023).
[37] K. Sueda, G. Miyaji, N. Miyanaga, M. Nakatsuka. Opt. Express, 12, 3548(2004).
[38] F. Cardano, E. Karimi, S. Slussarenko, L. Marrucci, C. de Lisio, E. Santamato. Appl. Opt., 51, C1(2012).
[39] Z. Liu, G. Zhu, Y. Li, J. Yu, Z. Bai, S. Liu, J. He, Y. Wang. Opt. Express, 28, 27044(2020).
[40] A. Forbes, A. Dudley, M. McLaren. Adv. Opt. Photonics, 8, 200(2016).
[41] Z. Qiao, G. Xie, Y. Wu, P. Yuan, J. Ma, L. Qian, D. Fan. Laser Photonics Rev., 12, 1800019(2018).
[42] X. Wang, Z. Nie, Y. Liang, J. Wang, T. Li, B. Jia. Nanophotonics, 7, 1533(2018).
[43] S. A. Goorden, J. Bertolotti, A. P. Mosk. Opt. Express, 22, 17999(2014).
[44] S. Zhao, Z. Zhang, Y. Gao, Y. Wang, X. Wang, Y. Jie, W. He, X. Li, C. Zhao. Opt. Commun., 529, 70(2018).
[45] Y. Bai, H. Lv, X. Fu, Y. Yang. Chin. Opt. Lett., 20, 012601(2022).
[46] L. Perumal, A. Forbes. J. Opt., 25, 074003(2023).
[47] J. Q. Jiang, H. J. Wu, B. S. Yu, C. Y. Li, X. Y. Zhang, X. P. Hu, B. S. Shi, Z. H. Zhu. J. Opt., 25, 024004(2023).

Set citation alerts for the article
Please enter your email address