Theoretical investigation of transition metal dichalcogenides based Bloch surface wave sensors with mono and double absentee layers

Li, Tianqi; Chen, Shujing; Lin, Chengyou

doi:10.1016/j.rio.2023.100384

Cited by 2 publications

(4 citation statements)

References 29 publications

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“…Li et al investigated the influence of single and double defect layers on the performance of BSW sensors by using the transition metal dichalcogenide MoSe 2 as a defect layer, disrupting the periodic stacking structure of TiO 2 and MgF 2 . 24 They found that, under the same DBR structure, BSW sensors with dual high refractive index defect layers achieved a Q factor of 766.43 /RIU, which was 5.83% higher than traditional defect-free BSW sensors. K. Sagar et al introduced a non-linear material, barium sodium niobate, as a defect layer in the top layer of a one-dimensional photonic crystal to excite BSWs at a spatial wavelength of 1275 nm by adjusting the angle of incidence.…”

Section: Introductionmentioning

confidence: 98%

“…Li et al. investigated the influence of single and double defect layers on the performance of BSW sensors by using the transition metal dichalcogenide MoSe 2 as a defect layer, disrupting the periodic stacking structure of TiO 2 and MgF 2 24 . They found that, under the same DBR structure, BSW sensors with dual high refractive index defect layers achieved a Q factor of 766.43 /RIU, which was 5.83% higher than traditional defect-free BSW sensors.…”

Section: Introductionmentioning

confidence: 99%

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Design and optimization of Bloch surface wave sensor with high sensitivity and quality factor using LiNbO3

Wei,

Shi,

Liu

et al. 2024

J. Nanophoton.

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This work presents a refractive index sensor based on Bloch surface waves (BSW) with high sensitivity and quality factor (Q). The sensor utilizes a one-dimensional photonic crystal TiO 2 ∕MgF 2 as a distributed Bragg reflector and employs a LiNbO 3 thin film as the top defect layer to excite BSW through a Kretschmann prism. Numerical simulations using the rigorous coupled wave analysis method are conducted to explore various prism configurations, revealing that low refractive index prisms yield superior performance for BSW sensors. The designed sensor achieves a sensitivity of 1600 nm/RIU (or 938 °/RIU) and is analyzed for its full-width at halfmaximum and quality factor (Q), with the sensor's Q value reaching 8000 /RIU (or 13595 /RIU). Through manufacturing error analysis, it was found that the designed sensor has good mechanical robustness, is easy to manufacture, and is also easy to integrate. The results show that the LiNbO 3 nonlinear tunable material has great application prospects in the field of refractive index sensors.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Design and optimization of Bloch surface wave sensor with high sensitivity and quality factor using LiNbO3

Wei,

Shi,

Liu

et al. 2024

J. Nanophoton.

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“…23 The literature also suggests that introducing a top dielectric defect layer to BSW sensors can effectively enhance their performance. 24 Over the past few decades, lithium niobate (LiNbO 3 ) has been extensively studied as a multifunctional crystal material. Researchers have focused on its wide bandwidth and high electro-optic and nonlinear coefficients, as well as its outstanding properties in acoustooptics, lastic-optics, pyroelectricity, piezoelectricity, photoelasticity, and ferroelectricity.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in recent years, BSW sensors based on the DBR have attracted attention from researchers 23 . The literature also suggests that introducing a top dielectric defect layer to BSW sensors can effectively enhance their performance 24 . Over the past few decades, lithium niobate (LiNbO3) has been extensively studied as a multifunctional crystal material.…”

Section: Introductionmentioning

confidence: 99%

Design and optimization of two-dimensional porous lithium niobate grating birefringent Bloch surface wave sensor with high sensitivity and quality factor

Wei,

Zhang,

2024

Opt. Eng.

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This work proposes a two-dimensional porous lithium niobate grating-coupled birefringent Bloch surface wave (BSW) sensor. Based on the nonlinear characteristics and birefringence of lithium niobate, the theoretical study investigates the impact of two refractive index excitation schemes, n e and n o , on the tunability of the BSW. First, we construct a four-period TiO 2 ∕MgF 2 stacked distributed Bragg reflector (DBR) and deposit a layer of two-dimensional porous lithium niobate grating on the top of the DBR to achieve wave vector coupling. This successfully excites the BSW at the interface of the sensor and the sensing medium. Second, by rotating the incident light, we switch between the n e and n o excitation schemes of lithium niobate, introducing the concept of azimuthal detection to explore the tunability of lithium niobate BSW sensors. The results show that the azimuthal angle variation of BSW resonance peaks for both refractive index excitation schemes is approximately 5 deg. Finally, we perform numerical analysis on the sensor performance for both excitation schemes. The results demonstrate that the sensitivity and quality factor of BSW sensors excited along n e and n o refractive indices reach 3782 °/RIU (12400 /RIU) and 2967 °/RIU (6682.5 /RIU), respectively. This confirms the great potential of lithium niobate as a nonlinear tunable material in the field of BSW sensors.

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Theoretical investigation of transition metal dichalcogenides based Bloch surface wave sensors with mono and double absentee layers

Cited by 2 publications

References 29 publications

Design and optimization of Bloch surface wave sensor with high sensitivity and quality factor using LiNbO3

Design and optimization of Bloch surface wave sensor with high sensitivity and quality factor using LiNbO3

Design and optimization of two-dimensional porous lithium niobate grating birefringent Bloch surface wave sensor with high sensitivity and quality factor

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