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Concept for a geometry-insensitive high-field magnetic resonance detector

Korvink, Jan G. ; Chau-Nguyen, Khai ORCID iD icon; Badilita, Vlad

Abstract:

We introduce an inverse design methodology for a new class of eigenfrequency-invariant metamaterial-resonators, targeting nuclear magnetic resonance detection at ultra-high B0 field, and operating at two specified frequencies selected from within the 100-1500 MHz range. The primary optimisation goal is to maximise the magnetic field intensity and uniformity within a liquid sample, while the electric energy should be kept to a minimum level to reduce dielectric heating or quadrupolar moment excitation effects. Due to the symmetric geometry requirement of the cavity, a demultiplexer is also designed to direct each discrete resonant signal to another predetermined output port of the resonator. In order to reduce the geometrical dependency of the resonance frequency, a bespoke metamaterial is used for the cavity host. Therefore, an additional optimisation problem for a unit cell domain is defined to seek a proper material layout for the host region of the resonators. Given the sensitivity of the frequency domain, the optimisation process is effectively regulated through the utilisation of both a Helmholtz filter and a projection method. It is found that considerable improvements of the resonator quality factor can be obtained through this optimisation process.

Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Forschungsdaten
Publikationsdatum 30.01.2024
Erstellungsdatum 24.01.2024
Identifikator DOI: 10.35097/1903
KITopen-ID: 1000167657
Lizenz Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 4.0 International
Projektinformation optiMuM (DFG, DFG EIN, KO 1883/39-1)
Schlagwörter Double-resonant resonators · Topology optimisation · Ultra-high field NMR · Metamaterials · Eigenfrequencyinvariant detectors · Demultiplexer
Liesmich

The simulation data can be handled using COMSOL software.

Art der Forschungsdaten Software

Seitenaufrufe: 16
seit 30.01.2024
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