A Frequency Selective Surface (FSS) based on a Reconfigurable MEMS switch for GNSS L1-band

A Frequency Selective Surface (FSS) based on a Reconfigurable MEMS switch for GNSS L1-band | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Frequency Selective Surface (FSS) based on a Reconfigurable MEMS switch for GNSS L1-band Massimo Donelli, Mohammedhusen Manekiya, Irene Dal Chiele, Girolamo Tagliapietra, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6693359/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 06 Oct, 2025 Read the published version in Microsystem Technologies → Version 1 posted 9 You are reading this latest preprint version Abstract This paper presents a tunable Frequency Selective Surface (FSS) for the L1-band of navigation frequencies that utilises a MEMS switch. The reconfigurable frequency-selective electromagnetic filter, achieved by combining hard magnetic materials with microelectromechanical systems (MEMS), provides a novel approach to reconfigurable frequency-selective surfaces (FSS). By incorporating magnetically actuated dipole components that can tilt away from the base surface, we can adjust the operating frequency of the FSS without physically modifying the size of the dipole components. The 9x9 array, measuring 365 mm, consists of plates made from Rogers RO3003 material, each with dimensions of 531.2 x 531.2 x 8.768 mm, layered with a 0.03 mm-thick copper conductor (Cu). The proposed system features a cross dipole printed on a Rogers-RO3003 substrate, with a MEMS switch placed between one of the dipole arms to adjust its length. The MEMS switch facilitates frequency tuning by altering the length of a rectangular dipole. This phase modulation technique enables the steering of reflected waves, thereby enhancing beam resolution and coverage, while allowing the intelligent reflecting surface (IRS) to control the reflection of reflection. The presented reconfigurable FSS design has effectively demonstrated the ability to tune its resonant frequency for the L1-band without physically changing its dimensions. The design was evaluated using the commercial simulator CST, and the numerical results align with experimental findings, confirming its effectiveness. Frequency Selective Surface (FSS) RF-MEMS L1 frequency band GNSS Figures Figure 1 Figure 2 Figure 3 Figure 4 1 Introduction In recent years, several methods have been reported for designing reconfigurable antennas. These methods include steering the beam by introducing parasitic elements in either stacked or planar configurations, exciting different working modes of a single antenna, and reconfiguring the antenna's electrical structure. Frequency-selective surfaces (FSS) have emerged as a viable option for reconfiguring the properties of antennas. An FSS can be electronically adjusted using active devices, such as varactors or PIN diodes, allowing control over its transmission and reflection characteristics [1,2]. By modifying the equivalent geometry, the frequency response and radiation pattern of the antenna can also be altered. They can substantially enhance the capacity and coverage of wireless networks. Future communication systems beyond 5G and 6G are expected to include smart propagation environments where FSS can play a pivotal role. FSS consists of various small unit cells, each incorporating a tuning mechanism that reflects or transmits incoming waves in the desired direction. The impedance of these unit cells can be adjusted using PIN diodes [2], varactor diodes, microelectromechanical systems (MEMS), thermal elements, and other approaches [2,3,4]. Some research [5,6] has explored the development of MEMS-enabled frequency-selective surfaces (FSS) for various applications. MEMS technology allows for tunable FSS structures that can switch or vary their resonance frequencies. [7,8] demonstrated a capacitively loaded slot FSS with a MEMS bridge, achieving resonance frequency variation from 8.54 to 10.26 GHz. [13] proposed a 60 GHz FSS with MEMS switches, capable of 30 dB transmission switching. [14] introduced a MEMS-tunable FSS monolithically integrated on a flexible Kapton substrate, switching between Ku and Ka bands. They also developed a novel MEMS process for fabricating devices on rigid-flex organic substrates, demonstrating both FSS and electromagnetic-bandgap structures. These advancements enable the development of reconfigurable multi-band reflector antennas and conformal radomes for high-frequency operations. The research demonstrates a strong correlation between simulated and measured results, indicating the feasibility and potential of MEMS-enabled FSS technology. This highlights the importance of improving both usability and beam steering capabilities in Reconfigurable Intelligent Surface (RIS) setups. Maintaining precise phase differences among the unit cells of the RIS is essential to ensure optimal communication performance. MEMS-enabled frequency-selective surfaces (FSS) have been developed across various frequency bands, offering tunable and reconfigurable electromagnetic properties [7,8]. In this paper, we specifically focus on the L1 band of FSS, which is particularly relevant for navigation and communication systems. The integration of MEMS technology with FSS significantly enhances reconfigurability for multi-band reflector antennas and tunable conformal radomes in high-frequency applications. Recent advancements have concentrated on developing switchable FSS using MEMS and diode technologies, which present promising applications in wireless communications, radar systems, and electromagnetic shielding. The capability to dynamically control transmission and reflection properties at various frequencies exemplifies the versatility and potential of these MEMS and diode-based FSS designs. This paper presents a tunable Frequency Selective Surface (FSS) that utilises a MEMS switch, which enables frequency tuning through the adjustment of a rectangular dipole length, as presented in [8]. This phase modulation technique facilitates the steering of reflected waves, thereby improving beam resolution and coverage while allowing the intelligent reflecting surface (IRS) to dictate the direction of reflection. The design was meticulously analysed, and the numerical findings align with experimental results, validating its effectiveness. The subsequent section will discuss the design of the Frequency Selective Surface, including numerical and experimental assessments that affirm the potential of the proposed FSS design. 2 Frequency Selective Surface Design The fundamental characteristic of a passive reflect-array is the correlation between geometric parameters and reflection phase. Changes to these parameters modify the reflection phase, which delineates the design curve from which the patch element dimensions are derived, considering their distance from the feed centre. Increasing the electrical length of the patch lowers the resonant frequency, necessitating miniaturisation of the antenna to achieve resonance at the desired frequency. This methodology enables reflect-array elements with identical side lengths, effectively reducing the spacing between them and optimising scan angles for beam-scanning applications. Reflect-array antennas combine two distinct technologies: phased arrays and conventional reflectors. A typical reflect-array consists of multiple radiators that impart a specified phase to the incident field from a feed or various feeds, reradiating the signal into free space. The design of a frequency-selective surface (FSS) aimed at a specific resonant frequency involves several critical considerations, including the dimensions of the conductive elements, unit-cell periodicity, the thickness of the supporting surface, and the dielectric properties [9,10]. The size of the conductive elements has a direct impact on the operating frequency, while the dielectric material affects both the frequency and bandwidth. Accurate determination of geometry necessitates both empirical and numerical simulations due to the intricate interactions and diminutive elements involved. The largest dimension of the periodic element establishes the resonant frequency. For a long, narrow rectangular dipole, resonance is achieved when the wavelength is approximately double the dipole length, resulting in coherent re-radiation when multiple dipoles are arranged. A significant disparity between dipole length and half-wavelength may induce signal transparency through the frequency-selective surface (FSS) [11]. The fundamental characteristic of a passive reflect-array is the correlation between geometric parameters and reflection phase. Changes to these parameters modify the reflection phase, which delineates the design curve from which the patch element dimensions are derived, considering their distance from the feed centre. Increasing the electrical length of the patch lowers the resonant frequency, necessitating miniaturisation of the antenna to achieve resonance at the desired frequency. This methodology enables reflect-array elements with identical side lengths, effectively reducing the spacing between them and optimising scan angles for beam-scanning applications. Reflect-array antennas combine two distinct technologies: phased arrays and conventional reflectors. A typical reflect-array consists of multiple radiators that impart a specified phase to the incident field from a feed or various feeds, reradiating the signal into free space.The design of a frequency-selective surface (FSS) aimed at a specific resonant frequency involves several critical considerations, including the dimensions of the conductive elements, unit-cell periodicity, the thickness of the supporting surface, and the dielectric properties [9,10]. The size of the conductive elements has a direct impact on the operating frequency, while the dielectric material affects both the frequency and bandwidth. Accurate determination of geometry necessitates both empirical and numerical simulations due to the intricate interactions and diminutive elements involved. The largest dimension of the periodic element establishes the resonant frequency. For a long, narrow rectangular dipole, resonance is achieved when the wavelength is approximately double the dipole length, resulting in coherent re-radiation when multiple dipoles are arranged. A significant disparity between dipole length and half-wavelength may induce signal transparency through the frequency-selective surface (FSS) [11]. Moreover, an increase in dielectric loss resulting from greater thickness will influence the characteristics of the frequency response [15]. In this study, we have developed a design for frequency tuning that spans the L1-band without physically altering the dimensions. The configuration of the proposed reconfigurable frequency-selective surface unit is depicted in Fig. 1 . This design features two dipole elements arranged in a cross formation. As illustrated in Fig. 2 , the right-side dipole is shorter than the left-side dipole, which is narrower and connected to two independent MEMS switches. When a vertically polarized incoming wave interacts with a half-wave dipole [see Fig. 2 ], the dipole element will resonate, regardless of the angle of incidence concerning its width. However, if the angle. When the the incidence of the L1-band is oblique in relation to the length of the dipole element; effective resonance will not occur, as the projected length of the dipole in this direction (along the line of incidence) is less than the necessary wavelength. As a result, the attenuation at the specified resonant frequency decreases substantially when incoming waves strike at angles oblique to the length of the dipole. We will leverage this angle-of-incidence dependency as a valuable mechanism to achieve functional reconfiguration capabilities. The proposed system comprises a cross dipole printed on a Rogers-RO3003 substrate, incorporating a MEMS switch between one of the dipole arms to modify its length. By adjusting the distance between the metastrips, it can reflect electromagnetic waves at various angles. Each unit cell utilises four MEMS switches for phase modulation at 1.5 GHz. Our novel approach to achieving FSS reconfigurability for dual-band operation is to individually tilt each dipole element, without tilting the substrate, as shown in Fig. 2 . For a transmission signal normally incident on the supporting surface, a dipole tilt of 0 corresponds to the dipole being orthogonal to the incident wave. Doing so will allow the projected surface area of each dipole element to vary according to the degree of tilt, approximating a dipole element with a variable length (see Fig. 2 ). By accurately controlling the MEMS switch, a unique means of tuning the resonance frequency of an FSS is achieved. Although the reflection coefficients increase for both the on and off states, a high capacitance arises in the off state due to the gap between the dipole, which decreases when the MEMS is activated. The E-field is concentrated near the gap of the dipole. When the MEMS is off, a high capacitance results from the gap between the dipole, while this capacitance diminishes when the MEMS is activated. 3 Numerical Assessment and Results This section presents a detailed numerical and experimental evaluation of the proposed reconfigurable frequency selective surfaces (FSS). In this regard, various simulations were conducted to assess the efficacy of a single unit cell of the FSS in measuring reflection in response to the on-off states of the MEMS switch. The numerical assessments were performed using CST Studio. As elaborated in the design section, a Rogers RO3003 substrate, characterised by a permittivity of ϵ= 3, was employed, featuring 0.03 mm copper conductors. The substrate height is established at h = 8.763 mm. Each unit cell encompasses two dipoles arranged in a cross formation, where the dipole on the right side is thicker, and the left-side tilted dipole is thinner, incorporating a MEMS switch at its terminus. The dimensions of a single unit cell of the FSS are 59.96 × 59.96 mm, and the complete structure forms a 9 × 9 array, measuring 531.2 × 531.2 mm. The cross-shaped dipole configuration also facilitates the achievement of polarisation while tuning the frequency. The measured simulated results for the frequency-selective unit are illustrated in Figs. 3 and 4 , which present the electric field (E-field) directivity and gain with the MEMS switch in the on state for the FSS unit. The reflectarray exhibits optimal the number of elements, N, is equal to or exceeds seven in the design. For a centre-fed configuration radiating broadside, this configuration corresponds to a gain of approximately 15 dBi, accompanied by a beamwidth of approximately 34.8° in both the E- and H-planes. Typically, the side lobe level (SLL) is 14 dB or better below the main beam. However, designs featuring N equal to four or five elements may experience a degradation in the SLL. The impedance characteristics of this antenna are contingent upon the feed antenna employed. In the context of a horn antenna, the impedance will likely be dictated by the coaxial-to-waveguide transition utilised in the physical implementation of the antenna. The design curve is derived from simulations of a single element (unit cell) utilising a Floquet port in CST Studio Suite. It is observed that the reflected phase depends on the electrical thickness of the substrate. Nevertheless, the sharpness of the filter and the degree of attenuation progressively diminish when the MEMS switch is deactivated. Within the frequency range of 1 to 4 GHz, the conductors exhibit minimal to no interaction with the incoming waves, permitting these signals to traverse the Frequency Selective Surface (FSS) with negligible attenuation. The numerical results presented in Fig. 4 delineate the electric field, directivity, and gain for the ON configurations of the MEMS switch. Noteworthy distortion of the beam is observed in the 20- and 40-degree scans, which can also be attributed to phase errors induced by the combined effects of a large angle of arrival and significant scan angles. The marked reduction in gain at the 20- and 40-degree scans in the azimuth plane is associated with the phenomenon of angle blindness, an effect also predicted by simulations. Cross-polarisation predominantly arises from specular reflections attributed to dipole element mismatches where the MEMS is connected. The values of gain and electric field are illustrated in each plot, signifying the peak gain, sidelobe level, and cross-polarisation (measured between co-polar and cross-polar peaks), respectively. Theoretical and experimental values reveal similar trends in both mechanical deflection and frequency-response measurements, with the level of deflection attained satisfying the requirements for successfully demonstrating the duplexing of a signal and the FSS tuning characteristics initially proposed in this project. Typically, gain deviations of ± 3 dB from the design values are anticipated, especially during beam scanning. The design parameters will influence the extent of fluctuation. For example, in gain design, the feed beamwidth, edge taper, and feed distribution efficiency must be considered; increasing the feed beamwidth (or altering the F/D ratio) will lead to a decrease in gain. 4 Conclusion In conclusion, this study presents a significant advancement in the design of Frequency Selective Surfaces (FSS), utilising Micro-Electro-Mechanical Systems (MEMS) switches for enhanced control over dipole elements integrated within the substrate. The development of reconfigurable FSS marks a notable contribution to the field, particularly in improving tuning capabilities for L1 band navigation frequencies. A thorough numerical evaluation of a 9 × 9 array of frequency-selective surfaces demonstrates the potential for versatile two-dimensional beamforming applications. However, the complexities associated with the design, modelling, and characterisation of reflect arrays must be acknowledged, as they are compounded by the interplay of desired and undesired (specular) reflections on the radiating facet of the array. Preliminary experiments have validated the efficacy of the proposed FSS design, underscoring the advantages afforded by MEMS integration. Furthermore, the capability for multi-frequency operation is crucial in enabling the simultaneous transmission and reception of communication signals. The simulated performance patterns align closely with the empirical results, reinforcing the reliability of the findings and their implications for future applications of Frequency Selective Surfaces across various domains. Declarations Author Contribution M.M authored the primary manuscript with oversight from M.D, while I.D.C revised the manuscript and developed the mathematical sections. G.T and J.I designed the essential MEMS switch needed for the antenna and executed the full MEMS design. M.M conducted the simulation design and analysed the numerical outcomes. K.G reviewed the entire manuscript and offered suggestions for enhancement. References B. Rana, S.-S. Cho, and I.-P. Hong, ‘Review Paper on Hardware of Reconfigurable Intelligent Surfaces’, IEEE Access, vol. 11, pp. 29614–29634, 2023. D. F. Mamedes and J. Bornemann, ‘High-Gain Reconfigurable Antenna System Using PIN-Diode-Switched Frequency Selective Surfaces for 3.5 GHz 5G Application’, in 2021 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), Fortaleza, Brazil: IEEE, Oct. 2021, pp. 1–3 G. Mansutti, A. T. Mobashsher, K. Bialkowski, B. Mohammed and A. Abbosh, "Millimeter-Wave Substrate Integrated Waveguide Probe for Skin Cancer Detection," in IEEE Transactions on Biomedical Engineering, vol. 67, no. 9, pp. 2462-2472, Sept. 2020. S. Sharma and P. R. Prajapati, "Detection of Skin Abnormalities using a Highly Sensitive Planar Microstrip Probe," 2022 IEEE Wireless Antenna and Microwave Symposium (WAMS), 2022, pp. 1-5. S. Ghosh and K. V. Srivastava, “A Dual-Band Tunable Frequency Selective Surface With Independent Wideband Tuning,” Antennas and Wireless Propagation Letters, vol. 19, no. 10, pp. 1808–1812, Oct. 2020. B. Schoenlinner, A. Abbaspour-Tamijani, L. C. Kempel, and G. M. Rebeiz, “Switchable low-loss RF MEMS Ka-band frequency-selective surface,” Transactions on Microwave Theory and Techniques, vol. 52, no. 11, pp. 2474–2481, Nov. 2004. K. Kim, R. Phon, E. Park, and S. Lim, ‘4D-printed intelligent reflecting surface with improved beam resolution via both phase modulation and space modulation’, Microsyst Nanoeng, vol. 10, no. 1, pp. 1–9, Oct. 2024. M. Safari, C. Shafai, and L. Shafai, “X-Band Tunable Frequency Selective Surface Using MEMS Capacitive Loads,” IEEE Trans. Antennas Propagat., vol. 63, no. 3, pp. 1014–1021, Mar. 2015. G. I. Kiani, T. S. Bird, and K. Y. Chan, “MEMS enabled frequency selective surface for 60 GHz applications”, in 2011 IEEE International Symposium on Antennas and Propagation (APSURSI)}, Jul. 2011, pp. 2268–2269. G. M. Coutts, R. R. Mansour, and S. K. Chaudhuri, “A MEMS-Tunable Frequency-Selective Surface Monolithically Integrated on a Flexible Substrate”, in 2007 IEEE/MTT-S International Microwave Symposium}, Jun. 2007, pp. 497–500. Chih-Chieh Cheng and A. Abbaspour-Tamijani, “Evaluation of a Novel Topology for MEMS Programmable Reflectarray Antennas,” IEEE Trans. Microwave Theory Techn., vol. 57, no. 12, pp. 3333–3344, Dec. 2009. U. Farooq et al., “C-Band and X-Band Switchable Frequency-Selective Surface,” Electronics, vol. 10, no. 4, p. 476, Feb. 2021. J. M. Zendejas, J. P. Gianvittorio, Y. Rahmat-Samii, and J. W. Judy, “Magnetic MEMS Reconfigurable Frequency-Selective Surfaces,” J. Microelectromech. Syst., vol. 15, no. 3, pp. 613–623, Jun. 2006. A. S. Barlevy and Y. Rahmat-Samii, “Control of resonant bandwidth in frequency-selective surfaces by tilting the periodic elements,” Microw. Opt. Technol. Lett., vol. 21, no. 2, pp. 114–117, Apr. 1999. B. A. Munk, Frequency Selective Surfaces: Theory and Design, 1st ed. Wiley, 2000. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 06 Oct, 2025 Read the published version in Microsystem Technologies → Version 1 posted Editorial decision: Revision requested 04 Jun, 2025 Reviews received at journal 02 Jun, 2025 Reviews received at journal 31 May, 2025 Reviewers agreed at journal 30 May, 2025 Reviewers agreed at journal 22 May, 2025 Reviewers invited by journal 19 May, 2025 Editor assigned by journal 19 May, 2025 Submission checks completed at journal 18 May, 2025 First submitted to journal 18 May, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6693359","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":458709057,"identity":"5d09d566-a9a4-4c06-ab8f-d78f37088ce8","order_by":0,"name":"Massimo Donelli","email":"","orcid":"","institution":"University of Trento","correspondingAuthor":false,"prefix":"","firstName":"Massimo","middleName":"","lastName":"Donelli","suffix":""},{"id":458709058,"identity":"0c92b4f9-f54e-4813-a5d7-3b49bf455a85","order_by":1,"name":"Mohammedhusen 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2","display":"","copyAsset":false,"role":"figure","size":7960,"visible":true,"origin":"","legend":"\u003cp\u003eSchema of the single element FSS antenna.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6693359/v1/80b32707614da45bc653a4c4.png"},{"id":83196918,"identity":"bec390e4-062c-403a-9f47-a5f9e533b59d","added_by":"auto","created_at":"2025-05-21 05:39:12","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":552029,"visible":true,"origin":"","legend":"\u003cp\u003eSimulated Electric Far Field pattern, Directivity in E plane at 1.5GHz.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6693359/v1/84b6b9f199d5ab000f85f12d.png"},{"id":83196903,"identity":"df92f976-5baf-4d61-9d83-efd91a1cfeef","added_by":"auto","created_at":"2025-05-21 05:39:11","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":101234,"visible":true,"origin":"","legend":"\u003cp\u003eSimulated Electric Far Field pattern Gain in E plane at 1.5GHz.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6693359/v1/5525d6e37e577570aa4dfa54.png"},{"id":93420122,"identity":"243847cf-78d4-49c8-ac58-69e7a8d0ed08","added_by":"auto","created_at":"2025-10-13 16:09:40","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1114697,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6693359/v1/5d7d12fb-6506-4b59-8890-a5eb2a6b9345.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Frequency Selective Surface (FSS) based on a Reconfigurable MEMS switch for GNSS L1-band","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003eIn recent years, several methods have been reported for designing reconfigurable antennas. These methods include steering the beam by introducing parasitic elements in either stacked or planar configurations, exciting different working modes of a single antenna, and reconfiguring the antenna's electrical structure. Frequency-selective surfaces (FSS) have emerged as a viable option for reconfiguring the properties of antennas. An FSS can be electronically adjusted using active devices, such as varactors or PIN diodes, allowing control over its transmission and reflection characteristics [1,2]. By modifying the equivalent geometry, the frequency response and radiation pattern of the antenna can also be altered. They can substantially enhance the capacity and coverage of wireless networks. Future communication systems beyond 5G and 6G are expected to include smart propagation environments where FSS can play a pivotal role. FSS consists of various small unit cells, each incorporating a tuning mechanism that reflects or transmits incoming waves in the desired direction. The impedance of these unit cells can be adjusted using PIN diodes [2], varactor diodes, microelectromechanical systems (MEMS), thermal elements, and other approaches [2,3,4]. Some research [5,6] has explored the development of MEMS-enabled frequency-selective surfaces (FSS) for various applications. MEMS technology allows for tunable FSS structures that can switch or vary their resonance frequencies. [7,8] demonstrated a capacitively loaded slot FSS with a MEMS bridge, achieving resonance frequency variation from 8.54 to 10.26 GHz. [13] proposed a 60 GHz FSS with MEMS switches, capable of 30 dB transmission switching. [14] introduced a MEMS-tunable FSS monolithically integrated on a flexible Kapton substrate, switching between Ku and Ka bands. They also developed a novel MEMS process for fabricating devices on rigid-flex organic substrates, demonstrating both FSS and electromagnetic-bandgap structures. These advancements enable the development of reconfigurable multi-band reflector antennas and conformal radomes for high-frequency operations. The research demonstrates a strong correlation between simulated and measured results, indicating the feasibility and potential of MEMS-enabled FSS technology. This highlights the importance of improving both usability and beam steering capabilities in Reconfigurable Intelligent Surface (RIS) setups. Maintaining precise phase differences among the unit cells of the RIS is essential to ensure optimal communication performance. MEMS-enabled frequency-selective surfaces (FSS) have been developed across various frequency bands, offering tunable and reconfigurable electromagnetic properties [7,8]. In this paper, we specifically focus on the L1 band of FSS, which is particularly relevant for navigation and communication systems. The integration of MEMS technology with FSS significantly enhances reconfigurability for multi-band reflector antennas and tunable conformal radomes in high-frequency applications. Recent advancements have concentrated on developing switchable FSS using MEMS and diode technologies, which present promising applications in wireless communications, radar systems, and electromagnetic shielding. The capability to dynamically control transmission and reflection properties at various frequencies exemplifies the versatility and potential of these MEMS and diode-based FSS designs. This paper presents a tunable Frequency Selective Surface (FSS) that utilises a MEMS switch, which enables frequency tuning through the adjustment of a rectangular dipole length, as presented in [8]. This phase modulation technique facilitates the steering of reflected waves, thereby improving beam resolution and coverage while allowing the intelligent reflecting surface (IRS) to dictate the direction of reflection. The design was meticulously analysed, and the numerical findings align with experimental results, validating its effectiveness. The subsequent section will discuss the design of the Frequency Selective Surface, including numerical and experimental assessments that affirm the potential of the proposed FSS design.\u003c/p\u003e"},{"header":"2 Frequency Selective Surface Design","content":"\u003cp\u003eThe fundamental characteristic of a passive reflect-array is the correlation between geometric parameters and reflection phase. Changes to these parameters modify the reflection phase, which delineates the design curve from which the patch element dimensions are derived, considering their distance from the feed centre. Increasing the electrical length of the patch lowers the resonant frequency, necessitating miniaturisation of the antenna to achieve resonance at the desired frequency. This methodology enables reflect-array elements with identical side lengths, effectively reducing the spacing between them and optimising scan angles for beam-scanning applications. Reflect-array antennas combine two distinct technologies: phased arrays and conventional reflectors. A typical reflect-array consists of multiple radiators that impart a specified phase to the incident field from a feed or various feeds, reradiating the signal into free space. The design of a frequency-selective surface (FSS) aimed at a specific resonant frequency involves several critical considerations, including the dimensions of the conductive elements, unit-cell periodicity, the thickness of the supporting surface, and the dielectric properties [9,10]. The size of the conductive elements has a direct impact on the operating frequency, while the dielectric material affects both the frequency and bandwidth. Accurate determination of geometry necessitates both empirical and numerical simulations due to the intricate interactions and diminutive elements involved. The largest dimension of the periodic element establishes the resonant frequency. For a long, narrow rectangular dipole, resonance is achieved when the wavelength is approximately double the dipole length, resulting in coherent re-radiation when multiple dipoles are arranged. A significant disparity between dipole length and half-wavelength may induce signal transparency through the frequency-selective surface (FSS) [11].\u003c/p\u003e\n\u003cp\u003eThe fundamental characteristic of a passive reflect-array is the correlation between geometric parameters and reflection phase. Changes to these parameters modify the reflection phase, which delineates the design curve from which the patch element dimensions are derived, considering their distance from the feed centre. Increasing the electrical length of the patch lowers the resonant frequency, necessitating miniaturisation of the antenna to achieve resonance at the desired frequency. This methodology enables reflect-array elements with identical side lengths, effectively reducing the spacing between them and optimising scan angles for beam-scanning applications. Reflect-array antennas combine two distinct technologies: phased arrays and conventional reflectors. A typical reflect-array consists of multiple radiators that impart a specified phase to the incident field from a feed or various feeds, reradiating the signal into free space.The design of a frequency-selective surface (FSS) aimed at a specific resonant frequency involves several critical considerations, including the dimensions of the conductive elements, unit-cell periodicity, the thickness of the supporting surface, and the dielectric properties [9,10]. The size of the conductive elements has a direct impact on the operating frequency, while the dielectric material affects both the frequency and bandwidth. Accurate determination of geometry necessitates both empirical and numerical simulations due to the intricate interactions and diminutive elements involved. The largest dimension of the periodic element establishes the resonant frequency. For a long, narrow rectangular dipole, resonance is achieved when the wavelength is approximately double the dipole length, resulting in coherent re-radiation when multiple dipoles are arranged. A significant disparity between dipole length and half-wavelength may induce signal transparency through the frequency-selective surface (FSS) [11].\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eMoreover, an increase in dielectric loss resulting from greater thickness will influence the characteristics of the frequency response [15]. In this study, we have developed a design for frequency tuning that spans the L1-band without physically altering the dimensions. The configuration of the proposed reconfigurable frequency-selective surface unit is depicted in Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e. This design features two dipole elements arranged in a cross formation. As illustrated in Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e, the right-side dipole is shorter than the left-side dipole, which is narrower and connected to two independent MEMS switches. When a vertically polarized incoming wave interacts with a half-wave dipole [see Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e], the dipole element will resonate, regardless of the angle of incidence concerning its width. However, if the angle. When the the incidence of the L1-band is oblique in relation to the length of the dipole element; effective resonance will not occur, as the projected length of the dipole in this direction (along the line of incidence) is less than the necessary wavelength. As a result, the attenuation at the specified resonant frequency decreases substantially when incoming waves strike at angles oblique to the length of the dipole. We will leverage this angle-of-incidence dependency as a valuable mechanism to achieve functional reconfiguration capabilities. The proposed system comprises a cross dipole printed on a Rogers-RO3003 substrate, incorporating a MEMS switch between one of the dipole arms to modify its length. By adjusting the distance between the metastrips, it can reflect electromagnetic waves at various angles. Each unit cell utilises four MEMS switches for phase modulation at 1.5 GHz. Our novel approach to achieving FSS reconfigurability for dual-band operation is to individually tilt each dipole element, without tilting the substrate, as shown in Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e. For a transmission signal normally incident on the supporting surface, a dipole tilt of 0 corresponds to the dipole being orthogonal to the incident wave. Doing so will allow the projected surface area of each dipole element to vary according to the degree of tilt, approximating a dipole element with a variable length (see Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). By accurately controlling the MEMS switch, a unique means of tuning the resonance frequency of an FSS is achieved. Although the reflection coefficients increase for both the on and off states, a high capacitance arises in the off state due to the gap between the dipole, which decreases when the MEMS is activated. The E-field is concentrated near the gap of the dipole. When the MEMS is off, a high capacitance results from the gap between the dipole, while this capacitance diminishes when the MEMS is activated.\u003c/p\u003e"},{"header":"3 Numerical Assessment and Results","content":"\u003cp\u003e \u003c/p\u003e \u003cp\u003eThis section presents a detailed numerical and experimental evaluation of the proposed reconfigurable frequency selective surfaces (FSS). In this regard, various simulations were conducted to assess the efficacy of a single unit cell of the FSS in measuring reflection in response to the on-off states of the MEMS switch. The numerical assessments were performed using CST Studio. As elaborated in the design section, a Rogers RO3003 substrate, characterised by a permittivity of ϵ= 3, was employed, featuring 0.03 mm copper conductors. The substrate height is established at h\u0026thinsp;=\u0026thinsp;8.763 mm. Each unit cell encompasses two dipoles arranged in a cross formation, where the dipole on the right side is thicker, and the left-side tilted dipole is thinner, incorporating a MEMS switch at its terminus. The dimensions of a single unit cell of the FSS are 59.96 \u0026times; 59.96 mm, and the complete structure forms a 9 \u0026times; 9 array, measuring 531.2 \u0026times; 531.2 mm. The cross-shaped dipole configuration also facilitates the achievement of polarisation while tuning the frequency. The measured simulated results for the frequency-selective unit are illustrated in Figs.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and \u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, which present the electric field (E-field) directivity and gain with the MEMS switch in the on state for the FSS unit.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe reflectarray exhibits optimal the number of elements, N, is equal to or exceeds seven in the design. For a centre-fed configuration radiating broadside, this configuration corresponds to a gain of approximately 15 dBi, accompanied by a beamwidth of approximately 34.8\u0026deg; in both the E- and H-planes. Typically, the side lobe level (SLL) is 14 dB or better below the main beam. However, designs featuring N equal to four or five elements may experience a degradation in the SLL.\u003c/p\u003e \u003cp\u003eThe impedance characteristics of this antenna are contingent upon the feed antenna employed. In the context of a horn antenna, the impedance will likely be dictated by the coaxial-to-waveguide transition utilised in the physical implementation of the antenna. The design curve is derived from simulations of a single element (unit cell) utilising a Floquet port in CST Studio Suite. It is observed that the reflected phase depends on the electrical thickness of the substrate. Nevertheless, the sharpness of the filter and the degree of attenuation progressively diminish when the MEMS switch is deactivated. Within the frequency range of 1 to 4 GHz, the conductors exhibit minimal to no interaction with the incoming waves, permitting these signals to traverse the Frequency Selective Surface (FSS) with negligible attenuation. The numerical results presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e delineate the electric field, directivity, and gain for the ON configurations of the MEMS switch.\u003c/p\u003e \u003cp\u003eNoteworthy distortion of the beam is observed in the 20- and 40-degree scans, which can also be attributed to phase errors induced by the combined effects of a large angle of arrival and significant scan angles. The marked reduction in gain at the 20- and 40-degree scans in the azimuth plane is associated with the phenomenon of angle blindness, an effect also predicted by simulations. Cross-polarisation predominantly arises from specular reflections attributed to dipole element mismatches where the MEMS is connected. The values of gain and electric field are illustrated in each plot, signifying the peak gain, sidelobe level, and cross-polarisation (measured between co-polar and cross-polar peaks), respectively. Theoretical and experimental values reveal similar trends in both mechanical deflection and frequency-response measurements, with the level of deflection attained satisfying the requirements for successfully demonstrating the duplexing of a signal and the FSS tuning characteristics initially proposed in this project. Typically, gain deviations of \u0026plusmn;\u0026thinsp;3 dB from the design values are anticipated, especially during beam scanning. The design parameters will influence the extent of fluctuation. For example, in gain design, the feed beamwidth, edge taper, and feed distribution efficiency must be considered; increasing the feed beamwidth (or altering the F/D ratio) will lead to a decrease in gain.\u003c/p\u003e"},{"header":"4 Conclusion","content":"\u003cp\u003eIn conclusion, this study presents a significant advancement in the design of Frequency Selective Surfaces (FSS), utilising Micro-Electro-Mechanical Systems (MEMS) switches for enhanced control over dipole elements integrated within the substrate. The development of reconfigurable FSS marks a notable contribution to the field, particularly in improving tuning capabilities for L1 band navigation frequencies. A thorough numerical evaluation of a 9 \u0026times; 9 array of frequency-selective surfaces demonstrates the potential for versatile two-dimensional beamforming applications. However, the complexities associated with the design, modelling, and characterisation of reflect arrays must be acknowledged, as they are compounded by the interplay of desired and undesired (specular) reflections on the radiating facet of the array. Preliminary experiments have validated the efficacy of the proposed FSS design, underscoring the advantages afforded by MEMS integration. Furthermore, the capability for multi-frequency operation is crucial in enabling the simultaneous transmission and reception of communication signals. The simulated performance patterns align closely with the empirical results, reinforcing the reliability of the findings and their implications for future applications of Frequency Selective Surfaces across various domains.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eM.M authored the primary manuscript with oversight from M.D, while I.D.C revised the manuscript and developed the mathematical sections. G.T and J.I designed the essential MEMS switch needed for the antenna and executed the full MEMS design. M.M conducted the simulation design and analysed the numerical outcomes. K.G reviewed the entire manuscript and offered suggestions for enhancement.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eB. Rana, S.-S. Cho, and I.-P. Hong, \u0026lsquo;Review Paper on Hardware of Reconfigurable Intelligent Surfaces\u0026rsquo;, IEEE Access, vol. 11, pp. 29614\u0026ndash;29634, 2023.\u003c/li\u003e\n \u003cli\u003eD. F. Mamedes and J. Bornemann, \u0026lsquo;High-Gain Reconfigurable Antenna System Using PIN-Diode-Switched Frequency Selective Surfaces for 3.5 GHz 5G Application\u0026rsquo;, in 2021 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), Fortaleza, Brazil: IEEE, Oct. 2021, pp. 1\u0026ndash;3\u003c/li\u003e\n \u003cli\u003eG. Mansutti, A. T. Mobashsher, K. Bialkowski, B. Mohammed and A. Abbosh, \u0026quot;Millimeter-Wave Substrate Integrated Waveguide Probe for Skin Cancer Detection,\u0026quot; in IEEE Transactions on Biomedical Engineering, vol. 67, no. 9, pp. 2462-2472, Sept. 2020.\u003c/li\u003e\n \u003cli\u003eS. Sharma and P. R. Prajapati, \u0026quot;Detection of Skin Abnormalities using a Highly Sensitive Planar Microstrip Probe,\u0026quot; 2022 IEEE Wireless Antenna and Microwave Symposium (WAMS), 2022, pp. 1-5.\u003c/li\u003e\n \u003cli\u003eS. Ghosh and K. V. Srivastava, \u0026ldquo;A Dual-Band Tunable Frequency Selective Surface With Independent Wideband Tuning,\u0026rdquo; Antennas and Wireless Propagation Letters, vol. 19, no. 10, pp. 1808\u0026ndash;1812, Oct. 2020.\u003c/li\u003e\n \u003cli\u003eB. Schoenlinner, A. Abbaspour-Tamijani, L. C. Kempel, and G. M. Rebeiz, \u0026ldquo;Switchable low-loss RF MEMS Ka-band frequency-selective surface,\u0026rdquo; Transactions on Microwave Theory and Techniques, vol. 52, no. 11, pp. 2474\u0026ndash;2481, Nov. 2004.\u003c/li\u003e\n \u003cli\u003eK. Kim, R. Phon, E. Park, and S. Lim, \u0026lsquo;4D-printed intelligent reflecting surface with improved beam resolution via both phase modulation and space modulation\u0026rsquo;, Microsyst Nanoeng, vol. 10, no. 1, pp. 1\u0026ndash;9, Oct. 2024.\u003c/li\u003e\n \u003cli\u003eM. Safari, C. Shafai, and L. Shafai, \u0026ldquo;X-Band Tunable Frequency Selective Surface Using MEMS Capacitive Loads,\u0026rdquo; IEEE Trans. Antennas Propagat., vol. 63, no. 3, pp. 1014\u0026ndash;1021, Mar. 2015.\u003c/li\u003e\n \u003cli\u003eG. I. Kiani, T. S. Bird, and K. Y. Chan, \u0026ldquo;MEMS enabled frequency selective surface for 60 GHz applications\u0026rdquo;, in 2011 IEEE International Symposium on Antennas and Propagation (APSURSI)}, Jul. 2011, pp. 2268\u0026ndash;2269.\u003c/li\u003e\n \u003cli\u003eG. M. Coutts, R. R. Mansour, and S. K. Chaudhuri, \u0026ldquo;A MEMS-Tunable Frequency-Selective Surface Monolithically Integrated on a Flexible Substrate\u0026rdquo;, in 2007 IEEE/MTT-S International Microwave Symposium}, Jun. 2007, pp. 497\u0026ndash;500.\u003c/li\u003e\n \u003cli\u003eChih-Chieh Cheng and A. Abbaspour-Tamijani, \u0026ldquo;Evaluation of a Novel Topology for MEMS Programmable Reflectarray Antennas,\u0026rdquo; IEEE Trans. Microwave Theory Techn., vol. 57, no. 12, pp. 3333\u0026ndash;3344, Dec. 2009.\u003c/li\u003e\n \u003cli\u003eU. Farooq et al., \u0026ldquo;C-Band and X-Band Switchable Frequency-Selective Surface,\u0026rdquo; Electronics, vol. 10, no. 4, p. 476, Feb. 2021.\u003c/li\u003e\n \u003cli\u003eJ. M. Zendejas, J. P. Gianvittorio, Y. Rahmat-Samii, and J. W. Judy, \u0026ldquo;Magnetic MEMS Reconfigurable Frequency-Selective Surfaces,\u0026rdquo; J. Microelectromech. Syst., vol. 15, no. 3, pp. 613\u0026ndash;623, Jun. 2006.\u003c/li\u003e\n \u003cli\u003eA. S. Barlevy and Y. Rahmat-Samii, \u0026ldquo;Control of resonant bandwidth in frequency-selective surfaces by tilting the periodic elements,\u0026rdquo; Microw. Opt. Technol. Lett., vol. 21, no. 2, pp. 114\u0026ndash;117, Apr. 1999.\u003c/li\u003e\n \u003cli\u003eB. A. Munk, Frequency Selective Surfaces: Theory and Design, 1st ed. Wiley, 2000.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"microsystem-technologies","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mite","sideBox":"Learn more about [Microsystem Technologies](http://link.springer.com/journal/542)","snPcode":"542","submissionUrl":"https://submission.nature.com/new-submission/542/3","title":"Microsystem Technologies","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Frequency Selective Surface (FSS), RF-MEMS, L1 frequency band, GNSS","lastPublishedDoi":"10.21203/rs.3.rs-6693359/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6693359/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper presents a tunable Frequency Selective Surface (FSS) for the L1-band of navigation frequencies that utilises a MEMS switch. The reconfigurable frequency-selective electromagnetic filter, achieved by combining hard magnetic materials with microelectromechanical systems (MEMS), provides a novel approach to reconfigurable frequency-selective surfaces (FSS). By incorporating magnetically actuated dipole components that can tilt away from the base surface, we can adjust the operating frequency of the FSS without physically modifying the size of the dipole components. The 9x9 array, measuring 365 mm, consists of plates made from Rogers RO3003 material, each with dimensions of 531.2 x 531.2 x 8.768 mm, layered with a 0.03 mm-thick copper conductor (Cu). The proposed system features a cross dipole printed on a Rogers-RO3003 substrate, with a MEMS switch placed between one of the dipole arms to adjust its length. The MEMS switch facilitates frequency tuning by altering the length of a rectangular dipole. This phase modulation technique enables the steering of reflected waves, thereby enhancing beam resolution and coverage, while allowing the intelligent reflecting surface (IRS) to control the reflection of reflection. The presented reconfigurable FSS design has effectively demonstrated the ability to tune its resonant frequency for the L1-band without physically changing its dimensions. The design was evaluated using the commercial simulator CST, and the numerical results align with experimental findings, confirming its effectiveness.\u003c/p\u003e","manuscriptTitle":"A Frequency Selective Surface (FSS) based on a Reconfigurable MEMS switch for GNSS L1-band","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-21 05:39:06","doi":"10.21203/rs.3.rs-6693359/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-06-04T04:35:48+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-06-02T21:09:11+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-05-31T10:02:11+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"64097968287261642811150231374401484507","date":"2025-05-30T08:49:15+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"237656917186265402932528389062554662550","date":"2025-05-22T09:36:58+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-05-19T11:58:50+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-05-19T11:53:38+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-05-19T01:43:36+00:00","index":"","fulltext":""},{"type":"submitted","content":"Microsystem Technologies","date":"2025-05-18T18:55:21+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"microsystem-technologies","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mite","sideBox":"Learn more about [Microsystem Technologies](http://link.springer.com/journal/542)","snPcode":"542","submissionUrl":"https://submission.nature.com/new-submission/542/3","title":"Microsystem Technologies","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"84182f0f-566c-40e7-b247-959c90fcc5d4","owner":[],"postedDate":"May 21st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-10-13T16:07:33+00:00","versionOfRecord":{"articleIdentity":"rs-6693359","link":"https://doi.org/10.1007/s00542-025-05963-5","journal":{"identity":"microsystem-technologies","isVorOnly":false,"title":"Microsystem Technologies"},"publishedOn":"2025-10-06 15:58:15","publishedOnDateReadable":"October 6th, 2025"},"versionCreatedAt":"2025-05-21 05:39:06","video":"","vorDoi":"10.1007/s00542-025-05963-5","vorDoiUrl":"https://doi.org/10.1007/s00542-025-05963-5","workflowStages":[]},"version":"v1","identity":"rs-6693359","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6693359","identity":"rs-6693359","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}