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Lithographically patterned arrays of magnetostatically interacting nanostructures are now well-established tools for investigating the physics of frustrated magnets [1]. Reaching a low-energy manifold where intriguing phenomena occur is challenging experimentally, and the effective temperature of the system under study must be lowered efficiently. So far, two main approaches were used in practice. Either the artificial systems are rotated in a decaying magnetic field [2], or their magnetization dynamics are activated by a thermal treatment [3]. Even though both protocols were employed successfully in previous works, there is a fundamental difference between them. If one can intuitively understand that thermal fluctuations may be a source of stochasticity, one might wonder whether field demagnetization protocols are not instead a source of determinism, especially when the experiments are conducted well below the blocking or Curie temperature of the nanomagnets. The main purpose of this presentation is to answer the following questions: What happens if the very same athermal lattice is field demagnetized several times? Would we get the same arrested state repeatedly and deterministically, or are the successive arrested configurations statistically decorrelated because stochasticity drives the physics?&lt;br/&gt;Here we investigate the response of an athermal, artificial square ice [4] submitted to successive field demagnetization protocols. We show that each resulting magnetic state differs substantially from the previous one, but not entirely. Analyzing these states via spin and vertex density maps, we find that the field demagnetization protocol we apply is essentially a stochastic process, despite quenched disorder, which is unambiguously present in our arrays, acts as a source of determinism. We also provide a comparison with conventional two-dimensional square spin system [2] submitted to the very same field history and show that quenched disorder plays a less important role. Finally, we demonstrate that the spin and vertex density maps are a convenient tool to probe and reveal quenched disorder in an artificial spin system, as they allow to spot the regions that remain unaffected between successive field protocols.

2022 Joint MMM-INTERMAG

Is a field demagnetization protocol applied to an a priori athermal, artificial square ice magnet, a stochastic process?

The 15th Joint MMM-INTERMAG Conference (2022 Joint) 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 plenary session, and an evening session, with about 1500 presentations overall. This Conference provides an outstanding opportunity for worldwide participants to meet their colleagues and collaborators and discuss developments in all areas of magnetism research.

The 2022 Joint Conference will offer both in-person and prerecorded on-demand content.

For tickets to the event, please register at the following link: https://magnetism.org/register

Please register for the Joint MMM-Intermag conference to join the event.

This Conference provides an outstanding opportunity for worldwide participants to meet their colleagues and collaborators and discuss developments in all areas of magnetism research.

Lithographically patterned arrays of magnetostatically interacting nanostructures are now well-established tools for investigating the physics of frustrated magnets [1]. Reaching a low-energy manifold where intriguing phenomena occur is challenging experimentally, and the effective temperature of the system under study must be lowered efficiently. So far, two main approaches were used in practice. Either the artificial systems are rotated in a decaying magnetic field [2], or their magnetization dynamics are activated by a thermal treatment [3]. Even though both protocols were employed successfully in previous works, there is a fundamental difference between them. If one can intuitively understand that thermal fluctuations may be a source of stochasticity, one might wonder whether field demagnetization protocols are not instead a source of determinism, especially when the experiments are conducted well below the blocking or Curie temperature of the nanomagnets. The main purpose of this presentation is to answer the following questions: What happens if the very same athermal lattice is field demagnetized several times? Would we get the same arrested state repeatedly and deterministically, or are the successive arrested configurations statistically decorrelated because stochasticity drives the physics? Here we investigate the response of an athermal, artificial square ice [4] submitted to successive field demagnetization protocols. We show that each resulting magnetic state differs substantially from the previous one, but not entirely. Analyzing these states via spin and vertex density maps, we find that the field demagnetization protocol we apply is essentially a stochastic process, despite quenched disorder, which is unambiguously present in our arrays, acts as a source of determinism. We also provide a comparison with conventional two-dimensional square spin system [2] submitted to the very same field history and show that quenched disorder plays a less important role. Finally, we demonstrate that the spin and vertex density maps are a convenient tool to probe and reveal quenched disorder in an artificial spin system, as they allow to spot the regions that remain unaffected between successive field protocols.

technical paper

The effect of boundaries and how these can be used to influence the bulk behavior in geometrically frustrated systems are both long-standing puzzles, often relegated to a secondary role. In this talk, I will investigate boundary effects in a geometrically frustrated system, namely an artificial colloidal ice, a microscale soft matter analog of a frustrated nanoscale spin ice system. The artificial colloidal ice is realized by confining interacting paramagnetic colloids to a lattice of gravitational double wells [2]. With this system, both via numerical simulations and “proof of concept” experiments, I will demonstrate that boundaries can be engineered to control the bulk behavior in a colloidal artificial ice [3]. I will also show that an antiferromagnetic frontier forces the system to rapidly reach the ground state (GS), as opposed to the commonly implemented open or periodic boundary conditions. Further, strategically placing defects at the corners may be used to generate novel bistable states, or topological strings, which result from competing GS regions in the bulk. The presented results could be generalized to other frustrated micro- and nanostructures where boundary conditions may be engineered with lithographic techniques.

Topological Boundary Constraints in Artificial Colloidal Ice

In recent years we have been focused on the understanding of magnetism in ensembles of 4f metallic nanoparticles (NPs) (R = Tb,Nd, Gd-M = Cu, Al, Y, La). As a result, we have reported that the existence of an ordered magnetic core and a disordered magnetic shell is regularly found in those ensembles. Depending on the stoichiometry (in our case, RX2) it is possible to easily tune the RKKY interactions to provoke the appearance of ferromagnetic or antiferromagnetic (AF) order within the NPs. Moreover, the fact that we are dealing only with thousand of moments per particle leads to use the super- prefix to define correctly the magnetic behaviour [1]. Besides, it is an upsetting fact that both the collective moment dynamics and the role of the crystalline electric field (CEF) in ensembles of NPs have barely been unearthed. To fill in this gap, we are reporting here a complete neutron-based study (Neutron Diffraction, ND, Small-Angle Neutron Scattering, SANS, and INS) on NdCu2 NPs (&lt;D&gt;≈13nm) to depict the skyline of order and disorder at the nanoscale. ND measurements (LLB) point to that the bulk commensurate AF structure is retained within the core. SANS confirms the survival of the AF within the nanoscale, together with a strong emergence of disorder, in the form of a rise in the low-Q region (Q&lt;0.665 Å-1). Magnetic measurements indicate the interactions among the surface moments strong enough to establish a Spin Glass behaviour, leading therefore to a Superantiferromagnetic state. Regarding the CEF panorama, macroscopic specific heat analyses anticipate a broad Schottky contribution, with a maximum located at T∼25 K. Then, microscopic INS measurements (ILL) performed at T=10K (paramagnetic) and T=1.5K (magnetic state) reveal that the splitting of the CEF levels, as well as the spin–wave excitations that emerged below the Néel transition (TN ≈ 6 K) in polycrystalline NdCu2 [2] are maintained in the NPs. Furthermore, we have been able to isolate the INS from the surface, which has allowed us to unravel the role of finite–size effects and microstrain. These two effects lead to a partial inhibition of the transitions from the ground state to the first excited level, as well as a stiffening of the magnon modes [3].

Order and disorder : The magnetic and crystalline electric field skyline of NdCu2 nanoparticles

The extent of magnetic ordering in highly-frustrated thermally active artificial kagome spin ice is limited by the lowest achievable blocking temperature, as the moments freeze before ordering is achieved [1]. A more substantial degree of magnetic ordering can be achieved by either lowering the blocking temperature of the individual nanomagnets or by increasing the critical transition temperature of the system. First, we pursue an approach of introducing interfacial Dzyaloshinskii-Moriya interactions (DMI), which lowers the blocking temperature by a factor of five, while keeping the transition temperature unchanged [2]. We demonstrate that a seven-ring kagome structure consisting of 30 nanomagnets with DMI can be thermally annealed into its ground state. Furthermore, the spin-ice correlations extracted from extended kagome lattices are found to exhibit the quantitative signatures of long-range charge-order, thereby giving experimental evidence for the theoretically predicted continuous transition to a charge-ordered state. Second, we find that slight modifications of the nanomagnets at the vertices in the artificial kagome ice allow us to control the energy landscape which leads to an increase of the critical temperatures [3]. These results provide paths for the tuning of magnetic ordering in artificial spin systems.

Long-range Magnetic Ordering in Artificial Kagome Spin Ice

The frustrated quantum spin systems exhibit various exotic magnetic phenomena. One of interesting phenomena is the magnetization plateau, which corresponds to the quantization of the magnetization. The S=1/2 distorted diamond spin chain is a typical one-dimensional frustrated systems. The previous theoretical study, using the numerical diagonalization of finite-size culsters and the level spectroscopy analysis[1], indicated the S=1/2 distorted diamond spin chain can exhibit the 1/3 magnetization plateau due to two different mechanisms, depending on the ratio of the exchange interactions. Azurite Cu3(OH)2(CO3)2 is a good candidate material of the distorted diamond spin chain. The high-field magnetization measurement successfully revealed that azurite exhibits the 1/3 magnetization plateau[2]. Recently as another good candidate material alumoklyuchevskite K3Cu3AlO2(SO4)4 was discovered[3]. In this compound ferromagnetic exchange interactions exist as well as antiferromagnetic ones, while azurite has only antiferromagnetic ones. On the other hand, if the anisotropic ferromagnetic interaction is introduced to the distorted diamond spin chain, another mechanism of the 1/3 magnetization plateau would be expected, based on the previous theoretical study on the mixed spin chain[4]. Thus it would be interesting to study the model of the distorted diamond spin chain with the anisotropic ferromagnetic interaction, to consider the magnetization plateau. In the present work, we investigated this model using the numerical diagonalization and the level spectroscopy analysis and obtained the phase diagram at 1/3 of the saturation magnetization, which includes the plateau phase due to a new mechanism for the distorted diamond spin chain.

Magnetization Plateau of the Distorted Diamond Spin Chain with Anisotropic Ferromagnetic Interactions

Dipolar Spin Ices (DSI) are geometrically frustrated magnetic materials, where the moments are arranged on the sites of a pyrochlore lattice [1]. The ground-state obeys the ice-rule, where two magnetic moments point to the center of the tetrahedral unit cell and two point out. If the rule is broken, i.e. one moment is switched, a net magnetic charge is observed at the center of the tetrahedron, referred to as magnetic monopoles. The trace of the switched magnetic moments is referred to as a Dirac string, which has magnetic monopoles at its ends. However, these materials require cryogenic conditions for the stability of monopoles. To study the magnetic monopoles on more suitable platform, artificial spin ices (ASI) consisting of elongated magnetic islands were considered [2]. Their 2D nature lifts the degeneracy of the ground state, as not all ice-rule obeying vertices have equal energies. Due to this differentiation between energetic states of the vertices, the Dirac strings bind the monopoles and store energy, limiting the mobility within the lattice. Here, we combine the advantages of DSI and 2D ASI, and present a 3D ASI lattice [3], where 3D ellipsoids with nearly perfect ising behavior are arranged on an Ice Ih crystal, where the angle between the ellipsoids is always θ = 109.5°, see Fig. 1. This symmetry recovers the lifted degeneracy of the ground state and enables tension-free Dirac strings. Based on the definitions of unbound magnetic monopoles [4], we show that the mobility threshold for magnetic charges is by 2 eV lower than their unbinding energy, while the propagation barrier is constant. The energy of the system does not increase with the length of the Dirac string, showing its tension-free nature. Furthermore, we apply external global fields and steer one magnetic monopole in the desired direction without creating additional magnetic charges, see Fig. 2. Finite temperature micromagnetic analysis reveals that the magnetic monopoles within the 3D ASI lattice are stable and steerable at room temperature.

![](https://assets.underline.io/uploads/markdown_image/1/image/7329a0465c413b41f6b95412aa66de49.jpg)

Fig.1: 3DASI lattice with 3D and top view.

![](https://assets.underline.io/uploads/markdown_image/1/image/ebc78830ac4545aedb5992bd9d0f1124.jpg)

Fig. 2: Averaged magnetization and applied field with respect to time, and the schematic magnetic configurations before and after propagation of monopole.

Tension-free Dirac Strings and Steered Magnetic Charges in 3D Artificial Spin Ice

The hybrid electric vehicle composed of diesel engine and generator can greatly alleviate the “range anxiety” problem [1]. The concentrated winding PM motor with high power and small volume is adopted for the large transport or mining machinery vehicles. In order to solve the heat dissipation problem of concentrated winding PM motor and realize efficient cooling, the heat dissipation structure of stator core with auxiliary teeth without any additional facilities is introduced [1-4]. In this paper, the influence of auxiliary teeth in stator core on concentrated winding PM motor is studied from electromagnetic and thermal aspects. It can be used as an effective scheme for the thermal design of concentrated winding PM motor. Different from the slot type of general motors, a part of the stator core is extended into the slot to form the auxiliary teeth, as shown in Fig. 1. The purpose of adding the auxiliary teeth is to make the heat inside the slot winding have more paths to transfer to the outside. The stator core is mainly divided into three structures, as shown in Fig. 2. Fig. 5 shows the waveforms of the air-gap flux density. Fig. 7 shows the back EMF. The cogging torques are shown in Fig. 8. Fig. 9 shows the flux density contour. Fig. 10 shows a comparison of the torques of the three models. It can be seen the loss change from Fig. 11 and Fig. 12. Fig. 13 shows the change of torque from model 2 to model 3. Fig. 14 and Fig. 15 show the loss changes from model 2 to model 3. Fig. 16 shows the temperature distribution under the rated condition. The actual stator core with auxiliary teeth (Model 2) is shown in Fig. 17(a). In this paper, the influence of the size of stator core auxiliary teeth on concentrated winding PM motor is studied from electromagnetic and thermal aspects. The results show that the auxiliary teeth will weaken the performance of the motor and make the stator temperature drop and the rotor temperature rise. The auxiliary cooling teeth of stator core provide a new guide for the thermal design of concentrated winding PM motor.

![](https://assets.underline.io/uploads/markdown_image/1/image/e693d60f4b87e0da9aeb708253acfaa4.jpg)

![](https://assets.underline.io/uploads/markdown_image/1/image/fa13280bf506c6232a888a058cef06ff.jpg)

Electromagnetic Thermal Coupling Optimization of Concentrated Winding PM Motor with Auxiliary Teeth for Electric Vehicle

Turbomachineries have large single-unit power and high efficiency, they play an important role in many areas, such as ship propulsion and thermal power generation and so on [1]. With the increase in demand, high power is an important development direction for turbomachineries in the future. However, now mechanical bearings are most used in turbomachineries, and the wear and loss at high speed severely restrict the speed. For this reason, the magnetic bearing (MB) is chosen to support the rotor to overcome the problems caused by the direct contact with the rotor [2]. However, limited by the operating principle of the steam turbine, the axial magnetic bearing (AMB) needs to overcome the large axial thrust generated by the steam flowing in turbomachineries. The traditional topology and design methods will cause the AMB to be too large to be integrated with the steam turbine. Therefore, this paper proposes an asymmetric axial magnetic bearing (AAMB) topology with large bearing capacity in a single direction. As shown in Fig. 1(a), the AAMB has a pair of stators of differential bearing and a stator of unidirectional bearing, both of which are fixed on the bearing seat and share a thrust plate. In normal operation, the unidirectional bearing works in the saturation zone of the material, it generate force and overcome the main axial thrust generated by steam. The differential bearing works in the linear region of the material, it is used to adjust the bearing capacity and overcome the remaining thrust. As shown in Fig. 1(b), The reluctance network method is used to establish the magnetic circuit model of the AAMB. And then the load capacity, dimensions and other constraints are considered, the shortest axial length is taken as the optimization object to design the AAMB, and the design scheme is obtained, and compared with the traditional differential bearing scheme, the main parameters of AAMB are shown in Fig. 2(a). Finally, The finite element model is built as shown in Fig. 2(b), the bearing capacity of the AAMB is verified by finite element method (FEM). The results show that the AAMB meets the bearing capacity requirements, and the overall axial length is less than half of the traditional design scheme.

![](https://assets.underline.io/uploads/markdown_image/1/image/3cf0b6ae6d5cd3f342de8321298524e9.jpg)

![](https://assets.underline.io/uploads/markdown_image/1/image/4a7cbd7cb78b70bb7fd45e911c113de7.jpg)

Asymmetrical Axial Magnetic Bearings for Turbomachineries

Asymmetrical Axial Magnetic Bearings for Turbomachineries

This work paper presents a methodology based on discrete multi-material topology optimization (TO) for the design of electrical machine cores using finite element analysis. Our methodology is based on the Bi-directional Evolutionary Structural Optimization (BESO) heuristics to remove inefficient elements [1] or add magnets from a meshed model based on how they increase the magnetic energy. Determining the average torque with the calculation of its instantaneous values can be very expensive. The proposed methodology improves the average torque density while formulating cost function on calculated energy difference in the d-axis and q-axis. While usual multi-material topology optimization is formulated using a density-based method [2], this paper determines magnets distribution discretely. The magnetization magnitude can be considered as a discrete variable, and the challenge is to determine its direction. Thus, we deduce magnetization direction from the flux density distribution in the rotor; the magnet magnetization direction is chosen to be normal to B. The main advantage of the proposed methodology is that no “gray” materials are created, and the manufacturing of the machine with the proposed distribution of magnets can be realistically considered. The optimization problem is formulated in order to maximize the magnetic energy difference subject to xe = 0 or 1, xm= 1 or 0, ∑(xe.Ve)-Viron0 ≤ 0 and ∑(xm.Vm)-Vmagnets0 ≤ 0 where, xe,Ve are the iron presence and volume of an iron element e, and xm ,Vm have the same definitions for the magnets. Viron0, Vmagnets0 are the constraints on volumes. The basic diagram is presented in the figure below. The methodology is applied to design several stator structures as given in Fig. 1. The final optimization design of each structure is a classical synchro-reluctant machine with inserted magnets is presented in Fig. 2. The computation time is less than 10 min with 8640 mesh elements.

![](https://assets.underline.io/uploads/markdown_image/1/image/e1674d7217687fe9a3bb5451d806095b.jpg)

Figure 1. Methodology chart

![](https://assets.underline.io/uploads/markdown_image/1/image/67fc42d85f9f647459216a39a05335fd.jpg)

Figure 2. Optimized 36 slots electrical machines, flux density distribution and vectors in the flux barriers, magnets distribution

Rapid multi-material discrete topology optimization for the design of electrical machines

I. Introduction Hybrid excited machines have attracted wide attention due to several advantages, such as easy adjustment of air gap magnetic field, high power density and high efficiency in wide speed range [1]. Nowadays, hybrid excited multitooth flux-switching permanent magnet (HE-MFSPM) machines have become a research hotspot [2]. Based on the literature [3], three novel HE-MFSPM machines are proposed in this paper. Fig. 1 shows the topologies of the proposed three HE-MFSPM machines, called Model I, Model II and Model III respectively. The three models are basically the same except that PM with radial magnetization is added in each dummy slot in Model II, while a fault tolerant tooth is employed and wound with field winding in Model III. Significantly, the amount of PM of the Model I is the least, and the amount of PM of Model II is equal to that of Model III. II. Performance comparisons Fig. 2 (a) presents the overload capability of three proposed HE-MFSPM machines supplied with the same excitation current density (Jf), i.e., 5A/mm2. It can be seen that when the current density of armature winding (Ja) increases from 2A/mm2 to 10A/mm2, the torque of Model III increases the most, showing the best saturation characteristics. Fig. 2 (b) shows the speed range of the three proposed HE-MFSPM machines. It should be noted that all the three structures run at the same speed and the same rated voltage, i.e., 700r/min and 380V. It can be observed that Model III has the highest average torque in the constant torque region and has the widest speed range in the constant power region. Overall, all the proposed three HE-MFSPM machines exhibit good ability of flux regulation. But Model III is superior to Model I and Model II since it exhibits best overload capability, highest average torque and widest speed range. Moreover, fault-tolerant ability and modularity exist in Model III because of the existence of fault-tolerant teeth. The other performance, such as back-EMF, cogging torque and electromagnetic torque, will be further discussed in the full paper.

![](https://assets.underline.io/uploads/markdown_image/1/image/2dadc16756df96c8c823592f1ae3ce2c.jpg)

Fig.1. Topologies of three HE-MFSPM machines. (a) Model I. (b) Model II. (c) Model III.


![](https://assets.underline.io/uploads/markdown_image/1/image/4adae74452ff0be4d22d493315020533.jpg)

Fig.2. Performance comparisons of three models. (a)Overload capability. (b) Speed range

Comparative Study on Three Novel Hybrid Excited Multitooth Flux-switching Permanent Magnet Machines

Torque ripple is the main cause of noise and vibration [1]. Mutual electromagnetic torque ripple is produced by a mismatch between excitation current and the shape of back-EMF [2]. So far, the most popular technology to reduce the cogging torque and torque ripple is skewing, including skewing of stator slots or magnet poles [3]. Based on the above analysis, this paper proposes a segment-skew U-shaped permanent magnet motor. The PMSM rotor topology used for vibration and noise research in this paper is shown in Fig. 1. PMSM parameters are shown in Table 1. Table 2 shows the torque ripple of the motor under different number of skew pole segments and angles. The data are the maximum and minimum values of torque ripple at peak current. According to Table 2, we choose a scheme with 5 segments and 5 degrees of skew angle in this paper. The spatial order of electromagnetic force is shown in Table 3. Only the major force wave orders are listed in the Table 3. Where is v the harmonic frequency of armature reaction magnetic field; is harmonic frequency of rotor permanent magnetic field. Fig. 2 compares the torque ripple at the optimum Angle under different segments of the rotor under peak current. Fig. 3 compares the cogging torque of the rotor with and without segmented skew. Fig. 4 compares the line back electromotive force (EMF). Fig. 5 compares the torque ripple of the rotor at rated current and peak current. Fig. 6 compares the torque current curves of the rotor under MTPA and Id=0 control. Fig. 7 compares the external characteristic curves of the motor. Fig. 8 compares the torque ripple under the magnetic weakening characteristics. Fig. 9 compares the radial electromagnetic force harmonics of rotors. Fig. 10 shows the comparison of noise harmonic response curves of the motor at 5000rpm. Fig 11 and Fig 12 show the experimental equipment and results. In this paper, the characteristics of segmented skew and non-segmented skew rotor motors are studied. It is proved that the segmented skew rotor can make the Back-EMF curve more close to the sine wave, suppress the torque ripple, reduce the electromagnetic force generated by the first order tooth harmonics, and reduce the electromagnetic noise.

![](https://assets.underline.io/uploads/markdown_image/1/image/84bc25c69b293c37f062e882d38e8158.jpg)

![](https://assets.underline.io/uploads/markdown_image/1/image/7b54b4d2e62db22ee1c07b7e5c485139.jpg)

Is a field demagnetization protocol applied to an a priori athermal, artificial square ice magnet, a stochastic process?

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Topological Boundary Constraints in Artificial Colloidal Ice

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Is a field demagnetization protocol applied to an a priori athermal, artificial square ice magnet, a stochastic process?

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Topological Boundary Constraints in Artificial Colloidal Ice

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Magnetoelastic Gilbert Damping in Magnetostrictive Fe0.7Ga0.3 Thin Films

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