Modeling of Magnetoelectric Antennas for Circuit Simulations in Magnetic Sensing Applications

Martos-Repath, Isabel; Mittal, Ankit; Zaeimbashi, Mohsen; Das, Diptashree; Sun, Nian X.; Shrivastava, Aatmesh; Onabajo, Marvin

doi:10.1109/mwscas48704.2020.9184568

Cited by 14 publications

(8 citation statements)

References 11 publications

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“…We have explored the data transmission via an IC design technique. The proposed method is to synthesize a local oscillator (LO) using the ME antenna operating at its CMR resonance frequency, and then to use this LO to apply a sinusoidal-like excitation current at the ME antenna 25 . This produces an amplitude-modulated output when there is a change in the magnetic field due to neuronal activity.…”

Section: Discussionmentioning

confidence: 99%

Ultra-compact dual-band smart NEMS magnetoelectric antennas for simultaneous wireless energy harvesting and magnetic field sensing

et al. 2021

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Ultra-compact wireless implantable medical devices are in great demand for healthcare applications, in particular for neural recording and stimulation. Current implantable technologies based on miniaturized micro-coils suffer from low wireless power transfer efficiency (PTE) and are not always compliant with the specific absorption rate imposed by the Federal Communications Commission. Moreover, current implantable devices are reliant on differential recording of voltage or current across space and require direct contact between electrode and tissue. Here, we show an ultra-compact dual-band smart nanoelectromechanical systems magnetoelectric (ME) antenna with a size of 250 × 174 µm2 that can efficiently perform wireless energy harvesting and sense ultra-small magnetic fields. The proposed ME antenna has a wireless PTE 1–2 orders of magnitude higher than any other reported miniaturized micro-coil, allowing the wireless IMDs to be compliant with the SAR limit. Furthermore, the antenna’s magnetic field detectivity of 300–500 pT allows the IMDs to record neural magnetic fields.

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Section: Discussionmentioning

confidence: 99%

Ultra-compact dual-band smart NEMS magnetoelectric antennas for simultaneous wireless energy harvesting and magnetic field sensing

et al. 2021

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“…Patterned magnetoelectric stacks 70,86 , nanowires 87 , matrices 88,89 , and heterostructures 65,[90][91][92] are of particular interest and were introduced as more versatile and scalable platforms responsive to electric fields. These can serve as multiplexed arrays for spatially precise readouts and stimulation of neural activity, and integrate with other magnetoelectric technologies for brain recording 39,40,93 and stimulation 37,48,94 . Finite element three-dimensional analyses can be specifically leveraged to characterize diverse device geometries in addition to simple core-shell particles shown here and can be used for optimized sensing of biogenic electric fields.…”

Section: Discussionmentioning

confidence: 99%

“…Finite element modeling (FEM) solvers in particular are used to better characterize a diverse range of magnetoelectric geometric arrangements and structures [34][35][36] . MENPs and similar heterostructures can be externally modulated by electric and magnetic fields, and have been successfully applied for applications including neurostimulation 37,38 , neural recording 39,40 , tumor ablation 41,42 , drug delivery [41][42][43] , and magnetically controlled nanorobots 44 . These studies and…”

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confidence: 99%

In silico assessment of electrophysiological neuronal recordings mediated by magnetoelectric nanoparticles

Bok

Haber

et al. 2022

Sci Rep

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Magnetoelectric materials hold untapped potential to revolutionize biomedical technologies. Sensing of biophysical processes in the brain is a particularly attractive application, with the prospect of using magnetoelectric nanoparticles (MENPs) as injectable agents for rapid brain-wide modulation and recording. Recent studies have demonstrated wireless brain stimulation in vivo using MENPs synthesized from cobalt ferrite (CFO) cores coated with piezoelectric barium titanate (BTO) shells. CFO–BTO core–shell MENPs have a relatively high magnetoelectric coefficient and have been proposed for direct magnetic particle imaging (MPI) of brain electrophysiology. However, the feasibility of acquiring such readouts has not been demonstrated or methodically quantified. Here we present the results of implementing a strain-based finite element magnetoelectric model of CFO–BTO core–shell MENPs and apply the model to quantify magnetization in response to neural electric fields. We use the model to determine optimal MENPs-mediated electrophysiological readouts both at the single neuron level and for MENPs diffusing in bulk neural tissue for in vivo scenarios. Our results lay the groundwork for MENP recording of electrophysiological signals and provide a broad analytical infrastructure to validate MENPs for biomedical applications.

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“…Wu et al reported a flexible magnetic sensor based on a BAW resonator, the equivalent Mason model of the sensor circuit was established, and its sensitivity was improved by selecting the electrode of giant magnetostrictive material with a large frequency offset [19]. Martos et al proposed a circuit simulation model of a novel miniaturized magnetoelectric antenna which is applied in low-power sensing [20]. However, there is little systematic research on the material, structure, and device simulation and performance optimization of the micro-magnetic sensor based on BAW actuation yet [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a BAW Magnetic Sensor Based on Magnetoelectric Coupling

Ren

Guo³

et al. 2022

Micromachines

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Magnetic sensors actuated by bulk acoustic wave (BAW) have attracted extensive attention due to the fact of their high sensitivity, GHz-level high frequency, and small size. Different from previous studies, suppression of energy loss and improvement in energy conversion efficiency of the BAW magnetoelectric (ME) sensor were systematically considered during the device design in this work. Finite element analysis models of material (magnetic composite), structure (ME heterostructure), and device (BAW ME magnetic sensor) were established and analyzed in COMSOL software. Additionally, the magnetic composite was prepared by radio frequency magnetron sputtering, and its soft magnetism was characterized by magnetic hysteresis loop and surface roughness. The research results demonstrate that after inserting four layers of 5 nm Al2O3 films, a performance of 86.7% eddy current loss suppression rate, a less than 1.1% magnetostriction degradation rate, and better soft magnetism were achieved in 600 nm FeGaB. Furthermore, compared with other structures, the two-layer piezomagnetic/piezoelectric heterostructure had a better ME coupling performance. Eventually, the design of the BAW ME magnetic sensor was optimized by the resonance-enhanced ME coupling to match the resonance frequency between the magnetic composite and the BAW resonator. When a 54,500 A/m direct current bias magnetic field was applied, the sensor worked at the first-order resonance frequency and showed good performance. Its linearity was better than 1.30%, the sensitivity was as high as 2.33 μmV/A, and the measurement range covered 0–5000 A/m.

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Modeling of Magnetoelectric Antennas for Circuit Simulations in Magnetic Sensing Applications

Cited by 14 publications

References 11 publications

Ultra-compact dual-band smart NEMS magnetoelectric antennas for simultaneous wireless energy harvesting and magnetic field sensing

Ultra-compact dual-band smart NEMS magnetoelectric antennas for simultaneous wireless energy harvesting and magnetic field sensing

In silico assessment of electrophysiological neuronal recordings mediated by magnetoelectric nanoparticles

Design and Optimization of a BAW Magnetic Sensor Based on Magnetoelectric Coupling

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