United States

Nd-Fe-B magnets are widely used in electric vehicles (EVs), wind turbines, and electronic devices in civilian and defence sectors due to their high magnetic performance. Alternate to the sintering route, the hot-deformation route does not require heavy rare elements (HRE) such as Dy and Tb and is a promising route to produce Nd-Fe-B magnets at low cost [1]. Hot deformed magnets are produced through melt spinning and hot pressing/deformation techniques [2]. Nd-Fe-B powder prepared from the melt-spun ribbon is used as precursors and hence optimization of melt spinning parameters is important to obtain desirable grain size and hard magnetic properties [3]. Hence a study was undertaken to prepare Nd-Fe-B melt-spun ribbons to tailor the microstructure and hard magnetic properties.
Melt spun ribbons with a nominal composition of Nd13.6Fe73.6Co6.6Ga0.6B5.6 alloy were prepared at various wheel speeds from 17 to 25 m/s. While the structure of the ribbons was obtained using X-Ray diffraction, the microstructure was obtained by transmission electron microscope (TEM). The magnetic properties and thermo-magnetic properties were obtained using a vibrating sample magnetometer (VSM). XRD analysis showed Nd2Fe14B phase with strong (00l) texture in all ribbons and texture fades away at higher wheel speeds. Thermal stability studied by calorimetry showed that the Nd2Fe14B phase was stable up to 500oC, beyond which precipitation of the α-Fe phase takes place. TEM analysis (Fig.1) showed that the Nd2Fe14B phase was distributed uniformly throughout the sample with a grain size of 50-150 nm. The average grain size was found to decrease with an increase in the wheel speed. The remanence (Br) and coercivity (Hc) values were found to increase with the increase in wheel speed up to 23 m/s and beyond which it starts decreasing gradually (Fig.2). Ribbons with the highest magnetic properties having a Br value of 6.6 kG and Hc value of 12.3 kOe were obtained at 23 m/s and may be best suited for the fabrication of hot deformed Nd-Fe-B magnets.&lt;br&gt;
**References:**&lt;br&gt;1 N.J. Yu, M.X. Pan, P.Y. Zhang, and H.L. Ge, J. Magn. 18, 235 (2013).&lt;br&gt;
2 K. Hioki, Sci. Technol. Adv. Mater. 22, 72 (2021).&lt;br&gt;
3 C. Rong and B. Shen, Chinese Phys. B 27, 117502 (2018).&lt;br&gt;

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/0eba546af9c83328c8a792d6bbcd2171.png)&lt;br&gt;
Fig.1: TEM image showing the microstructure of Nd-Fe-B ribbon prepared at a wheel speed of 23 m/s&lt;br&gt;
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/cb92d75e28c54dad0e4f00e8be180f65.png)&lt;br&gt;
Fig.2: Magnetic properties (Br and Hc) of Nd-Fe-B ribbon prepared at different wheel speeds&lt;br&gt;

MMM 2022

Processing and characterization of melt spun Nd

Nd-Fe-B magnets are widely used in electric vehicles (EVs), wind turbines, and electronic devices in civilian and defence sectors due to their high magnetic performance. Alternate to the sintering route, the hot-deformation route does not require heavy rare elements (HRE) such as Dy and Tb and is a promising route to produce Nd-Fe-B magnets at low cost [1]. Hot deformed magnets are produced through melt spinning and hot pressing/deformation techniques [2]. Nd-Fe-B powder prepared from the melt-spun ribbon is used as precursors and hence optimization of melt spinning parameters is important to obtain desirable grain size and hard magnetic properties [3]. Hence a study was undertaken to prepare Nd-Fe-B melt-spun ribbons to tailor the microstructure and hard magnetic properties.
Melt spun ribbons with a nominal composition of Nd13.6Fe73.6Co6.6Ga0.6B5.6 alloy were prepared at various wheel speeds from 17 to 25 m/s. While the structure of the ribbons was obtained using X-Ray diffraction, the microstructure was obtained by transmission electron microscope (TEM). The magnetic properties and thermo-magnetic properties were obtained using a vibrating sample magnetometer (VSM). XRD analysis showed Nd2Fe14B phase with strong (00l) texture in all ribbons and texture fades away at higher wheel speeds. Thermal stability studied by calorimetry showed that the Nd2Fe14B phase was stable up to 500oC, beyond which precipitation of the α-Fe phase takes place. TEM analysis (Fig.1) showed that the Nd2Fe14B phase was distributed uniformly throughout the sample with a grain size of 50-150 nm. The average grain size was found to decrease with an increase in the wheel speed. The remanence (Br) and coercivity (Hc) values were found to increase with the increase in wheel speed up to 23 m/s and beyond which it starts decreasing gradually (Fig.2). Ribbons with the highest magnetic properties having a Br value of 6.6 kG and Hc value of 12.3 kOe were obtained at 23 m/s and may be best suited for the fabrication of hot deformed Nd-Fe-B magnets. 
**References:** 1 N.J. Yu, M.X. Pan, P.Y. Zhang, and H.L. Ge, J. Magn. 18, 235 (2013). 
2 K. Hioki, Sci. Technol. Adv. Mater. 22, 72 (2021). 
3 C. Rong and B. Shen, Chinese Phys. B 27, 117502 (2018). 

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/0eba546af9c83328c8a792d6bbcd2171.png) 
Fig.1: TEM image showing the microstructure of Nd-Fe-B ribbon prepared at a wheel speed of 23 m/s 
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/cb92d75e28c54dad0e4f00e8be180f65.png) 
Fig.2: Magnetic properties (Br and Hc) of Nd-Fe-B ribbon prepared at different wheel speeds

technical paper

#### Welcome to the 67th Annual Conference on Magnetism and Magnetic Materials, MMM 2022!

The Conference was held from October 31 to November 4 and offers both in-person and on-demand content.

MMM 2022 is sponsored jointly by AIP Publishing and the IEEE Magnetics Society. Members of the international scientific and engineering communities interested in recent developments in fundamental and applied magnetism are invited to attend and contribute to the technical sessions. The technical program will include invited and contributed papers in oral and poster sessions, invited symposia, a tutorial, and several special sessions. This Conference provides an outstanding opportunity for worldwide participants to meet their colleagues and collaborators and discuss developments in all areas of magnetism research.

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Hydrogen is one of the most promising species for fast magneto-ionic control in iron triad metals. (1,2)
In this case, a voltage, which is applied to the magnetic metal via a solid or liquid electrolyte, (3) triggers proton reduction and subsequent hydrogen ad- and absorption. The composition of the electrolyte may have a great influence on these processes, since the absorption of hydrogen in metals is highly dependent on the pH values, (4) and moreover, additives to electrolyte can improve hydrogen permeability and diffusivity in ferromagnetic metals. (5) 
However, this knowledge has not been applied and tested for magneto-ionic systems yet. Thus, the optimization of electrolyte composition and the use of additives to promote hydrogen ad- or absorption may be a promising pathway to increase the efficiency of magneto-ionic systems.
In this work, we study the influence of alkaline electrolyte composition on the H-based magneto-ionic effect in electrodeposited nanocrystalline Ni films. In Ni, H is expected to significantly modulate the magnetization. (6) 
The voltage-triggered changes in magnetic properties are analyzed by in situ Anomalous Hall effect and in situ SQUID measurements in aqueous electrolytes with different concentrations of KOH (0.5, 2 and 5 M), as well as in 0.5 M KOH with thiourea additive.
H-based magneto-ionic control is clearly demonstrated by a voltage-controllable decrease and increase of saturation magnetization of the Ni films upon hydrogen absorption and desorption, respectively. We find that an increase in electrolyte pH and the addition of thiourea improves the efficiency of the H-based magneto-ionic effect. Results of in situ Raman spectroscopy indicate that the enhancement of H-absorption by thiourea relates to the formation of a Ni(OH)2 layer on the Ni surface.
The obtained results should stimulate further research in the field toward the use of multicomponent electrolytes and the optimization of underlying chemical and electrochemical reaction mechanisms to improve magneto-ionic efficiency. 

*This research was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant number 861145.* 

**References:** 
(1) Tan, A. J. et al. Magneto-ionic control of magnetism using a solid-state proton pump. Nat. Mater. 18, 35–41 (2019). 
(2) Huang, M. et al. Voltage control of ferrimagnetic order and voltage-assisted writing of ferrimagnetic spin textures. Nat. Nanotechnol. (2021) doi:10.1038/s41565-021-00940-1. 
(3) M. Nichterwitz, S. Honnali, M. Kutuzau, S. Guo, J. Zehner, K. Nielsch, and K. Leistner. Advances in magneto-ionic materials and perspectives for their application. APL Materials 9, 030903 (2021). 
(4) Fujimoto, N., Sawada, T., Tada, E. & Nishikata, A. Effect of pH on Hydrogen Absorption into Steel in Neutral and Alkaline Solutions. Mater. Trans. 58, 211–217 (2017). 
(5) Latanision, R. M. & Kurkela, M. Hydrogen Permeability and Diffusivity in Nickel and Ni-Base Alloys. CORROSION 39, 174–181 (1983). 
(6) León, A. et al. Magnetic effects of interstitial hydrogen in nickel. Journal of Magnetism and Magnetic Materials 421, 7–12 (2017).

Influence of alkaline electrolyte composition on H based magneto

Artificial neural networks (ANNs) are powerful tools for data intensive classification and regression, but the memory wall in von Neumann architectures prevents efficient processing [1]. Though there are many candidates for devices and architectures to realize ANNs, there are no comprehensive solutions to implement hardware Bayesian NNs (BNNs). BNNs are much less susceptible to overfitting when available data is sparse or unreliable, accomplished by representing and learning the weights of the network as distributions instead of deterministic values [2]. We propose a novel spintronic synaptic cell design that can implement tunable distributions by taking advantage of the intrinsic stochasticity of magnetic materials. The design of the cell is composed of a noise and weight encoding element respectively (see Fig. 1). The noisy element is a circular in-plane magnetic tunnel junction (MTJ) that relies on thermal activation to output a random conductance within the range of its TMR. This TMR can then be controlled through several methods such as voltage-controlled magnetic anisotropy (VCMA) [3] or magneto-ionics [4]. Combined with a weight encoding conductance element like a domain wall-magnetic tunnel junction (DW-MTJ) artificial synapse [5,6], we propose a novel cell design that can represent the distributions necessary for inference in a hardware BNN. We demonstrate device functionality through Landau-Lifshitz-Gilbert and micromagnetics [7] models, model analog Bayesian inference in CrossSim [8] for regression (see Fig. 2) and classification to detect out-of-distribution data, and compare the systemâ€™s energy efficiency to CMOS implementations. These results propose a novel synapse implementation for accurate and efficient Bayesian inference, a foundational step toward hardware BNN accelerators. SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.

Hardware Aware Bayesian Variational Inference Using Magnetic Tunnel Junction Noise Distributions in Artificial Synapse Arrays

We compare thermal-gradient-driven transverse voltages in ferrimagnetic-insulator/heavy-metal bilayers (Tm3Fe5O12/W and Tm3Fe5O12/Pt) to corresponding electrically driven transverse resistances at and above room temperature1. The thermal gradient is created by an applying electric current in the lithographically patterned heater, electrically isolated from the device that is located approximately 50 μm away. We find for Tm3Fe5O12/W that the thermal and electrical effects can be explained by a common spin-current detection mechanism, the physics underlying spin Hall magnetoresistance (SMR)2,3. However, for Tm3Fe5O12/Pt the ratio of the electrically driven transverse voltages (planar Hall signal/anomalous Hall signal) is much larger than the ratio of corresponding thermal-gradient signals, a result which is very different from expectations for a SMR-based mechanism alone. We ascribe this difference to a proximity-induced magnetic layer at the Tm3Fe5O12/Pt interface4. By analyzing the ratio of electrically and thermally driven transverse voltages we find that the dominant contribution of the transverse spin-current is the intrinsic spin-Hall effect that is driven by the longitudinal electrical field either provided by the thermal gradient due to the Seebeck effect or by applying the electric current. 
**References:** 1. Bose, A. et al. Origin of transverse voltages generated by thermal gradients and electric fields in ferrimagnetic-insulator/heavy-metal bilayers. Phys. Rev. B 105, L100408 (2022). 
2. Nakayama, H. et al. Spin Hall Magnetoresistance Induced by a Nonequilibrium Proximity Effect. Phys. Rev. Lett. 110, 206601 (2013). 
3. Meyer, S. et al. Observation of the spin Nernst effect. Nat. Mater. 16, 977–981 (2017). 
4. Huang, S. Y. et al. Transport Magnetic Proximity Effects in Platinum. Phys. Rev. Lett. 109, 107204 (2012). 

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/add0712631d46afa26b1f6505752d938.png) 
FIG.1. Results for TmIG/W. Hall resistance of TmIG/W for (a) out-of-plane magnetic-field sweep and (b) in-plane field rotation for a field magnitude of 2.7 kOe. Thermally-induced transverse voltages, (c) Vxy z and (d) Vxy φ, for a heater power of 630 mW and for two different heater spacings, d = 15 μm (closed squares) and 50 μm (open circles).

Origin of transverse voltages generated by thermal gradients and electric fields in ferrimagnetic insulator/heavy

Magnonics based on the transfer of angular momentum in the form of spin waves provides a promising technology for wave-based information processing [1] and neuromorphic computing [2]. A key challenge in realizing a viable spin-wave technology is the connection of multiple computational units into integrated magnonic circuits, which requires a scalable materials platform for low-loss spin-wave transport. Conventionally, magnonic waveguides are fabricated by patterning ferromagnetic metal or YIG films into narrow conduits. The spin-wave decay length in fully patterned nanoscopic waveguides is typically limited to a few mm. Here, we introduce a new spin-wave waveguiding structure consisting of a continuous YIG film and ferromagnetic metal nanostripes patterned on top [3]. In this hybrid structure, dipolar coupling between the two magnetic materials defines nanoscopic spin-wave transporting channels within the YIG film, along which spin waves propagate with low loss. We demonstrate spin-wave decay lengths of âˆ¼20 mm in 160-nm-wide waveguides at small magnetic bias fields. Moreover, we show that spin waves are efficiently guided through magnetically induced bends in the continuous YIG film (Fig. 1). The combination of low-loss scalable transport and efficient redirection of spin waves in our hybrid waveguiding structures provides a new strategy for the implementation of low-loss magnonic devices and integrated circuits without YIG nanopatterning.

Low Loss Nanoscopic Spin

We propose to directly and quantum-coherently couple a superconducting transmon qubit to magnons — the quanta of the collective spin excitations, in a nearby magnetic particle. The magnet’s stray field couples to the qubit via a superconducting interference device (SQUID) leading to strong and tunable interactions. More specifically, we predict a
resonant magnon-qubit exchange coupling, similar to the one studied in 3D cavity setups [1], and a novel magnon-qubit nonlinear interaction that is similar to the radiation-pressure
coupling in optomechanics [2]. We show that the latter can be resonantly enhanced by dynamically driving the flux in the SQUID, and demonstrate a quantum control scheme to generate
magnon-qubit entanglement and magnonic Schrödinger cat states with high fidelity. Our results [3] enrich the quantum control toolbox in magnonic devices and open new possibilities for
constructing quantum magnonic networks on a chip. 
**References** [1] Y. Tabuchi, S. Ishino, A. Noguchi, T. Ishikawa, R. Yamazaki, K. Usami, and Y. Nakamura, Science Vol. 349, p. 405 (2015).
[2] M. Aspelmeyer, T. J. Kippenberg, and F. Marquardt, Rev. Mod. Phys. Vol. 86, p. 1391 (2014).
[3] M. Kounalakis, G. E. W. Bauer, Y. M. Blanter, arXiv:2203.11893 (2022). 
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/cfe8e04007f7b0cbf30588e906f93677.png) 
Fig. 1. Proposed circuit architecture.

Analog quantum control of magnonic cat states on a

Many promising recording technologies have been introduced for hard disk drives to increase an areal density (AD), this paper considers the bit-patterned magnetic recording (BPMR) technology because it can achieve AD beyond 4 Tb/in2 [1]. To increase an AD in BPMR, which unavoidably leads to a problem of two-dimensional (2D) interference. To combat this difficulty, several techniques have been proposed based on modulation codes [2] and iterative processing [3]. Additionally, the BPMR system performance can be further enhanced by the proper island placement [4]. In this paper, we propose to optimize the bit-length (Tx) and track pitch (Tz) of BPMR under a single reader/two-track reading (SRTR) technique, which leads to getting greatly improved BER performance. Here, we arrange the island in a staggered pattern. The single reader was then employed to read both desired data tracks simultaneously. The signal waveforms from the upper and lower tracks, and the readback signal, that correspond to the data bits stored in the staggered medium through our proposed system are illustrated in Fig. 1. Here, we then investigate five cases under an iterative partial response maximum likelihood (PRML) system as follows: Case 1: Tx = 13.0 nm and Tz = 16.2 nm, Case 2: Tx = 14.0 nm and Tz = 15.0 nm, Case 3: Tx = 14.5 nm and Tz = 14.5 nm, Case 4: Tx = 15.0 nm and Tz = 14.0 nm, and Case 5: Tx = 16.2 nm and Tz = 13.0 nm, to obtain AD of 3 Tb/in2. Its data samples that were obtained from the over-sampling technique will then be processed through iterative PRML detection. Simulation results indicate that a system that has a larger bit-length distance, Tx, (Case 5) can provide the highest system performance when compared to other cases as shown in Fig. 2. In addition, the proposed system that encountered media noise still provides the highest system performance. It means that choosing proper Tx and Tz spacing can increase the efficiency of the staggered SRTR BPMR system. 
**References** 
[1] M. Mehrmohammadi et al., IOPscience, pp. 1-8 (2010) 
[2] C. Warisarn, A. Arrayangkool, and P. Kovintavewat, IEICE Trans. Electronics, vol. E98-C, pp. 528-533 (2015) 
[3] M. Tuchler, R. Koetter, and A. C. Singer, IEEE Trans. Commun., vol. 50, pp. 754-767 (2002) 
[4] S. Jeong, J. Kim, and J. Lee, Trans. Magn. vol. 54, pp. 1-4 (2018) 
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/0b89ef2a061bbbe85d9581cdce381d10.png) 
Fig. 1. Position of a single reader between two desired tracks over the staggered island pattern and its readback signal.

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/9bfd1a6456b464e48339e9c692d701c6.png) 
Fig. 2. BER performances of different cases of SRTR BPMR system (a) without and (b) with 5% media noises.

A Study of Bit Island Spacing Optimization of Staggered Patterned Media based SRTR Scheme in BPMR Systems

We predict how design aspects of the HAMR system such as media properties, thermal profile, and the geometry of the magneto-resistive (MR) reader affect user density through micromagnetic simulation [1]. It is found that maximum user density is achievable by optimizing the track pitch. Fig 1. shows dependence on track pitch for a small grain pitch, fly height, and thermal spot size: Fig 2. shows corresponding data for large values. User density increases when the value of shield-to-shield spacing (SSS) of the reader is reduced owing to improved resolution, even though SNR often decreases [2]. Moreover, the impact of the shield-to-shield spacing is much stronger in case of small grain size compared to larger grain size because the limit to resolution becomes the transition broadening induced by the grain pitch. It is also evident that higher full width at half maximum (FWHM) of the temperature profile reduces user density owing mostly to increased track pitch, but also owing to increased erase after write. Transition curvature in combination with shingled recording is predicted to yield asymmetric transitions with respect to the track center [3]. Therefore, to adequately match the curvature of these asymmetrical curved transitions, we employed a rotated read head rotation: a single rotated head ( θopt = 350 ) results in a 9% improvement in user density over a single non-rotated head at 5.8 nm grain pitch, 15 nm reader width, 30 nm FWHM, 16 nm SSS, and 15 nm track pitch. Finally, we also demonstrate that media Tc variation impacts density more severely at high densities, but anisotropy field variation is the more significant effect at lower densities. 
**References:** [1] R. H. Victora and P.-W. Huang, IEEE Trans. Magn., vol. 49, no. 2, pp. 751–757, (2013) 
[2] Z. Liu, Y. Jiao, and R. H. Victora, Appl. Phys. Lett., vol. 108, no. 23, p. 232402, (2016) 
[3] W.-H. Hsu and R. H. Victora, Appl. Phys. Lett., vol. 118, no. 7, p. 72406, (2021) 

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/c2cf57679726d155490bab4700d33d04.png) 
Fig. 1. User density as a function of track pitch for different shield-to-shield spacing (SSS) of ECC (FePt) media for optimal bit length = 9nm and reader width =15nm. 
![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/6461352a8cf41ad94217f5df9c4355ea.png) 
Fig. 2. User density profile as a function of track pitch for different shield-to-shield spacing (SSS) of ECC (FePt) media for optimal bit length = 9nm and reader width =15nm.

Dependence of User Density on System and Media Parameters for Shingled Heat Assisted Magnetic Recording (HAMR)

The resource criticality of rare-earth (RE) elements on the global market has triggered significant research into more resource-efficient alternative hard-magnetic materials[1]. The utilization of the RE-lean ThMn12 materials system in combination with the abundant RE element Ce is a promising strategy. One of the main challenges for the Ce-based hard-magnetic materials is the formation of detrimental Laves phases next to the ThMn12-type compound CeFe11Ti[2]. In this contribution, we present an ab initio-based approach to modify the stability of these phases in the Ce-Fe-Ti system by additions of 3d and 4d-elements. We start with Cu and Ga substitutions and employ state-of-the-art approaches for vibrational, electronic, and magnetic entropy contributions[3,4] to calculate the Helmholtz free energy F(T,V) for all relevant phases. The results are used to provide two fundamental methodological insights. One of them is our new modeling concept of partial decomposition, which considers the enrichment of the added solutes in phases that would at the considered temperature not be stable in a full decomposition. In the case of Cu, this effect suppresses the formation of CeFe11Ti, whereas in the case of Ga this ensures the presence of a small phase fraction of CeFe11Ti. The second conclusion is the dominant impact of 0 K formation enthalpies on the solute-enhances phase stability compared to finite temperature entropy terms. Based on this a screening approach, considering the substitution of all 3d and 4d-elements, is developed. We show that substituted elements with more than a half-filled 3d-shell or with less than a half-filled 4d-shell mainly reduce the formation temperature of the 1:12 phase. According to these thermodynamic considerations, especially Zn and Tc turn out to be promising substitution candidates. Therefore, more detailed finite temperature ab initio evaluations of the free energies have been performed for these elements. The difference between the screening determination of the critical temperature and a fully temperature-dependent determination of free energies is within the error bar of the other approximations. This demonstrates the robustness and efficiency of our developed screening approach. 
**References:** [1] O. Gutfleisch, et al.: Magnetic materials and devices for the 21st century: Stronger, lighter, and more energy efficient. Advanced Materials, 23, (2011) 821. 
[2] H. I. Sözen, et al.: Ab initio phase stabilities of Ce-based hard magnetic materials and comparison with experimental phase diagrams. Physical Review Materials, 3 (2019) 084407. 
[3] H. I. Sözen, et al.: Impact of magnetism on the phase stability modeling for rare-earth based hard magnetic materials. CALPHAD: Computer Coupling of Phase Diagrams and Thermochemistry, 68 (2020) 101731. 
[4] H. I. Sözen, et al.: Ab initio phase stabilities of rare-earth lean Nd-based hard magnets. Journal of Magnetism and Magnetic Materials, 559 (2022) 169529. 

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/b3c664197ef98be7d78fc805536f1286.png) 
Figure 1

Ab initio based Thermodynamic Modeling for Sustainable Hard Magnetic Materials

Hybrid magnonic-electric computing architectures are promising for ultra-low power data processing [1,2]. To realize these computing systems, scalable magnetoelectric
transducers are required that efficiently convert signals between the electric and magnetic domain. Several transducer types have been proposed of which voltage-based concepts are
expected to have the best scaling characteristics [3]. A promising voltage-based transducer type consists of a piezoelectric/magnetostrictive bilayer [4]. When a voltage is applied to this
transducer, dynamic strain is induced in the bilayer via the piezoelectric effect. This dynamic strain then interacts with the magnetization via the magnetostrictive effect and a coupling
between the electric and magnetic domain is obtained. Although this transducer type is very promising, its fundamental understanding as well as energy efficiency estimates are currently
lacking.
In this work, we develop a theoretical model of the displacement and magnetization dynamics in a resonator consisting of a piezoelectric/magnetostrictive bilayer. The model considers
both elastic as well as magnetic resonances and captures the magnetoelastic effect via an effective stiffness. Via this approach, both the elastic and magnetic power flow inside the device
can be determined. A comprehensive analysis was conducted of the dimensional as well as material parameter influence on the elastic and magnetic power dissipation (see Fig. 1).
Furthermore, the power calculation also results in magnetic transducer efficiency estimates. The results show that magnetic excitation efficiencies up to 90% can be achieved for nanometer
thick magnetostrictive layers (Fig. 2). Finally, a figure of merit is determined which allows to select the optimal piezoelectric-magnetostrictive material combination. 

**References:** 

1. A. Khitun and K. L. Wang, J. Appl. Phys. 110, 034306 (2011). 
2. B. Dieny, I. L. Prejbeanu, K. Garello, P. Gambardella, P. Freitas, R. Lehndorff, W. Raberg, U. Ebels, S. O. Demokritov, J. Akerman, et al., Nature Electron, 3 (2020). 
3. F. Vanderveken, V. Tyberkevych, G. Talmelli, B. Soree, F. Ciubotaru, and C. Adelmann, Sci. Rep. 12, 3796 (2022). 
4. A. Khitun, D. E. Nikonov, and K. L. Wang, J. Appl. Phys. 106, 123909 (2009). 

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/0867d6ce1e1696b44c9b050ecec6782e.png) 

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/5a2191baf82121f314207356220e5bb0.png)

Power transfer in magnetoelectric resonators

The combination of the two key effects of spintronics, magnetization dynamics and magneto-resistive effects, allows the realization of nano-neurons and nano-synapses with high computational capabilities. However, multilayer spintronic neural networks have never been realized with these nanodevices because there is no way to connect them that can work on a large scale. I will show that it is possible to exploit the two key effects of spintronics to connect together magnetic tunnel junctions that implement both neurons and synapses of a multilayer network. The magnetic tunnel junctions perform neural operations on DC signals and output the result as RF, operate synaptic operations on RF signals and output the result as DC thus giving rise to multilayer networks based on successive, clean, and fast conversions from RF to DC and from DC to RF. I will give a proof of concept with a two-layer neural network composed of nine interconnected magnetic tunnel junctions functioning as both synapses and neurons and experimentally demonstrate its ability to solve non-linear tasks with high performance. I will show that with junctions downscaled to 20 nm, such a network would consume 10fJ per synaptic operation and 100fJ per neuronal operation, several orders of magnitude less than current software neural network implementations. Finally, I will show through physical simulations that these networks, which can process DC data, can also natively classify RF inputs, achieving state-of-the-art drone identification from their RF transmissions. This study lays the foundation for deep spintronic neural networks at the nanoscale.

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Processing and characterization of melt spun Nd

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