Research Data Leeds Repository

Citation

Nixon, Joshua, Mosley, Connor, Park, SaeJune, Wood, Christopher and Cunningham, John (2025) Simulated Data for Comparison of On-chip Terahertz Filters for Sub-wavelength Dielectric Sensing. University of Leeds. [Dataset] https://doi.org/10.5518/1790

Dataset description

This paper discusses the application of on-chip terahertz (THz) filters attached to waveguides that can act as sensor elements, including for scanned imaging applications. Our work presents a comparative numerical This paper discusses the application of on-chip terahertz (THz) filters attached to waveguides that can act as sensor elements, including for scanned imaging applications. Our work presents a comparative numerical study of several different geometries (comprising five split-ring resonator geometries and a quarter-wavelength stub resonator, the latter being well established as a sensor at THz frequencies and therefore able to act as a benchmark. We designed each structure to have a resonant frequency of 500 GHz, allowing the impact of resonator geometry on sensing performance to be isolated; the performance was quantified by assessing each design using four figures of merit: resonance quality factor, sensitivity (relative frequency shift under dielectric loading), responsivity (sensitivity weighted by resonance sharpness), and the electric field confinement area. Simulations were conducted using Ansys HFSS using the properties of commercially available photoresist (Shipley 1813) as a dielectric load to assess performance under conditions comparable to previous experimental studies. The analysis showed that while sensitivity remained broadly similar across geometries, responsivity and quality factor differed substantially between resonators. Furthermore, the spatial distribution of the electric field and current density, particularly in rotated configurations, was found to significantly impact coupling efficiency between the resonator and transmission line. Our findings provide guidance for the general design of systems employing THz sensors while establishing a framework with which to benchmark future sensor geometries study of several different geometries (comprising five split-ring resonator geometries and a quarter-wavelength stub resonator, the latter being well established as a sensor at THz frequencies and therefore able to act as a benchmark. We designed each structure to have a resonant frequency of 500 GHz, allowing the impact of resonator geometry on sensing performance to be isolated; the performance was quantified by assessing each design using four figures of merit: resonance quality factor, sensitivity (relative frequency shift under dielectric loading), responsivity (sensitivity weighted by resonance sharpness), and the electric field confinement area. Simulations were conducted using Ansys HFSS using the properties of commercially available photoresist (Shipley 1813) as a dielectric load to assess performance under conditions comparable to previous experimental studies. The analysis showed that while sensitivity remained broadly similar across geometries, responsivity and quality factor differed substantially between resonators. Furthermore, the spatial distribution of the electric field and current density, particularly in rotated configurations, was found to significantly impact coupling efficiency between the resonator and transmission line. Our findings provide guidance for the general design of systems employing THz sensors while establishing a framework with which to benchmark future sensor geometries.

Keywords:	Terahertz Sensors, Ansys HFSS, THz-TDS, Split-ring Resonators, Terahertz Imaging
Subjects:	H000 - Engineering > H600 - Electronic & electrical engineering > H620 - Electrical engineering
Divisions:	Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering
Related resources:	Location Type https://doi.org/10.3390/s26010129 Publication https://eprints.whiterose.ac.uk/id/eprint/235998/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	24 Feb 2026 20:47
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1522
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Nixon, Joshua https://orcid.org/0009-0009-6529-7259 University of Leeds https://ror.org/024mrxd33 ror Mosley, Connor https://orcid.org/0000-0002-0084-9261 University of Leeds https://ror.org/024mrxd33 ror Park, SaeJune https://orcid.org/0000-0001-8606-191X Queen Mary University of London https://ror.org/026zzn846 ror Wood, Christopher https://orcid.org/0000-0003-1679-5410 University of Leeds https://ror.org/024mrxd33 ror Cunningham, John https://orcid.org/0000-0002-1805-9743 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/V047914/1 Publication date: 2025 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: eljprn@leeds.ac.uk Last Modified: 24 Feb 2026 21:04

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