short communications
accessOpportunities for near-surface small-angle neutron scattering to probe magnetic nanostructures within thin-film volumes
aSchool of Physics and Astronomy, Monash University, Clayton, VIC 3800, Australia, and bAustralian Research Council Centre of Excellence in Future Low-Energy Electronics Technologies, Monash University, Clayton, VIC 3800, Australia
*Correspondence e-mail: [email protected]
This article is part of a collection of articles related to the 19th International Small-Angle Scattering Conference (SAS2024) in Taipei, Taiwan.
Near-surface small-angle neutron scattering (NS-SANS) is a highly versatile, yet under-utilized, technique in condensed matter research. It addresses the shortcomings of transmission SANS to enable the characterization of nanostructures within extremely small sample volumes in the thin-film limit. NS-SANS stands out in its capacity to resolve 1D, 2D or 3D structural, chemical and magnetic correlations beneath the surfaces of thin films with nanometre resolution. By varying the incident angle above the critical angle of reflection, NS-SANS delivers tuneable depth sensitivity across nano-confined volumes, effectively minimizing noise contributions from substrates while surpassing the surface-sensitive capabilities of grazing-incidence SANS. This perspective highlights the future potential of NS-SANS to study condensed matter thin films and heterostructures, with a special focus on nanoscale magnetic phenomena, such as topological skyrmion lattices, superconducting vortex lattices and chiral domain walls, which are of timely interest to the magnetism and quantum materials communities.
Keywords: near-surface small-angle neutron scattering; grazing-incidence small-angle neutron scattering; magnetism; thin films.
1. Introduction
Small-angle neutron scattering (SANS) is the method of choice for characterizing nanoscopic structural, chemical and magnetic correlations in bulk materials (Mühlbauer et al., 2019
). Resolving real-space length scales ranging from 1 to 300 nm requires high angular resolution, which is achieved on SANS instruments using long-distance collimation and pinhole apertures. These design choices produce non-divergent and highly collimated beams with minimal background but limit the neutron flux at the sample position, leading to depleted signal intensities. As a result, conventional SANS measurements performed in transmission geometry rely on relatively large sample volumes, of the order of 1 mm3, to maintain adequate signal-to-background ratios.
By exploiting reflection geometries and enhanced scattering at glancing incidence (Jiang et al., 2011
), it becomes feasible to probe nanoscopic correlations in materials of significantly reduced sample volumes of the order of 10−2 mm3. Such volumes are typical of most solid-state thin films and heterostructures of nanometre thickness deposited on millimetre-squared substrates. As a result, reflection-mode SANS provides novel opportunities to characterize nanostructures within restricted sample volumes in the thin-film limit.
A key parameter in designing SANS experiments in reflection geometry is consideration of the incidence angle αi (i.e. the angle subtended by the incident neutron beam from the film surface). The ratio between αi and the critical angle of total external reflection of the material αc determines the of neutrons into the film and thus the sampling volume. When the incidence angle is chosen to be greater than or equal to the critical angle of the material, neutrons undergo small-angle scattering within the bulk volume of the film in a configuration known as near-surface SANS (NS-SANS) (Hamilton et al., 1994
; Hamilton et al., 1996
). Conversely, when αi is chosen to be less than αc, neutrons undergo total external reflection at the sample surface to probe the topmost few atomic layers of the film only, in a configuration known as grazing-incidence SANS (GI-SANS) (Dosch, 1992
).
By employing incident angles above the critical angle of reflection, NS-SANS extends beyond the mere surface sensitivity of GI-SANS to probe 1D, 2D and even 3D correlations beneath the surface of a material with tuneable depth sensitivity. Furthermore, by harnessing the magnetic sensitivity of neutrons, NS-SANS affords unique opportunities to study buried magnetic objects and related nanoscale magnetic phenomena within thin films and micro-structured bulk materials. To date, NS-SANS has been employed in the field of soft matter for the study of polymer micelles (Hamilton et al., 2005
; Hamilton et al., 1996
; Kyrey et al., 2021
; Ruderer et al., 2012
; Wolff et al., 2007
) but is yet to be comprehensively reported on for the study of magnetic nanostructures in low-dimensional solid-state materials.
This perspective discusses the opportunities for NS-SANS investigations of nano-confined systems in condensed matter research. Special attention is paid to sub-surface magnetic phenomena representing fundamental open issues in contemporary physics, such as flux-line lattices in type II superconductors, non-collinear spin textures in non-centrosymmetric magnets and chiral domain walls in heavy-metal ferromagnetic multilayers. Details of the NS-SANS geometry are presented, and the importance of the choice of incidence angle is discussed. The advantages of NS-SANS over popular experimental probes, such as Lorentz transmission electron microscopy and polarized neutron reflectometry, are also outlined.
2. Description of the NS-SANS geometry
Fig. 1
depicts the NS-SANS geometry for a vertical reflection plane. A highly collimated beam of monochromatic neutrons propagates along the x direction and impinges onto the sample surface at a shallow incidence angle αi greater than or equal to the critical angle αc of the sample. The sample's αc (= ) is determined by its scattering length density Nb, resulting in typical αc values of less than 1° due to the of most materials being close to 1. A neutron detector located in the yz is sensitive to lateral and vertical structures in the yz sample plane. Additional details of the NS-SANS setup are described elsewhere (Causer et al., 2023a
).
| Figure 1 Schematic of the NS-SANS geometry for a vertical reflection plane. The coordinate system is chosen such that the sample surface lies in the xy plane and the of the detector lies in the yz plane. A beam of monochromatic and highly collimated neutrons propagates along the x direction and impinges onto the sample surface at a shallow incidence angle αi greater than or equal to the critical angle αc of the sample. In this geometry, the sample is fully illuminated and the bulk ordering of the sample is probed. The resulting detector image will be sensitive to lateral and vertical correlations in Qy and Qz, respectively. |
For samples exhibiting long-range magnetic order that orients along magnetic field lines, such as the skyrmion lattice depicted in Fig. 1
, an in-plane magnetic field applied parallel to the neutron beam along the x direction will arrange the hexagonal lattice within the yz sample plane, and the resulting detector image will be sensitive to lateral and vertical correlations in Qy and Qz, respectively. Conversely, an in-plane magnetic field applied perpendicular to the neutron beam along the y direction will arrange the hexagonal lattice within the xz sample plane, allowing lateral correlations in Qx to be probed as well, which are otherwise nominally ordered along the neutron beam in parallel fields. The locations of the magnetic Bragg peaks on the detector will be independent of the chosen αi but may exhibit field and temperature dependencies, and their sharpness will be influenced by the range of the magnetic order (i.e. short range or long range). A specular peak will arise on the detector at αi = αf which will depend on the neutron wavelength but will be independent of temperature and field. The sharpness of the specular peak will be influenced by the roughness of the sample surface and its intensity will be governed by the neutron absorption To account for dynamic effects at glancing incidence, quantitative analysis of NS-SANS data is performed within the framework of the distorted-wave Born approximation, which is integrated into open-source software analysis programs such as BornAgain (Pospelov et al., 2020
).
In the reflection geometry, the penetration depth D of neutrons into the sample is well documented (Dosch, 1992
; Müller-Buschbaum, 2013
) and is given by
where
and μ is the Plotting D versus αi/αc yields a characteristic S-shaped profile as depicted in Fig. 2
. When αi is equal to αc, such that αi/αc = 1, the sample is fully illuminated and neutrons begin to undergo small-angle scattering within the bulk volume of the film in the NS-SANS regime. For increasingly larger incident angles, such that αi/αc > 1, the penetration depth of neutrons into the sample is greatly enhanced and the NS-SANS measurements can be optimized towards bulk sensitivity in the range of up to 104 nm below the sample surface.
| Figure 2 Penetration depth D of neutrons as a function of αi/αc. The exemplar curve has been calculated for the cubic chiral magnet Fe0.75Co0.25Si at a neutron wavelength of 5 Å, resulting in a critical angle of αc = 0.37°. Depending on the material species, the absolute values of D and αi/αc will vary and can be determined from equations (1) |
3. Opportunities for NS-SANS in condensed matter research
The standardization of the NS-SANS technique and its adoption into the everyday vernacular of condensed matter researchers have the potential to increase the number of experimental investigations carried out on thin-film and heterostructure samples. Furthermore, owing to the neutron's spin degree of freedom, NS-SANS is likely to lead to several advances in the scientific understanding of magnetic phenomena near surfaces and their extension into nano-confined volumes, resulting in breakthroughs in many areas of magnetism research. The opportunities of NS-SANS in condensed matter research are discussed below.
3.1. NS-SANS probes nanoscale periodicities within nano-confined volumes
It is well understood that conventional SANS measurements are impractical for investigating thin films and heterostructures, as their scattering volumes are too small to be measured in transmission (Meynell et al., 2017
). Early attempts to address this problem focused on stacking several identically prepared films in transmission to enhance the signal-to-background ratio (Farmer et al., 2019
; Desautels et al., 2019
). However, this approach requires the preparation of many identical and co-aligned films, where small misalignments in the crystallographic axes between adjacent films in the stack may result in an unwanted smearing of diffraction peaks, leading to ambiguity in the data.
In contrast, the glancing-incidence geometry of NS-SANS creates an extended path length for neutrons within the film, increasing the effective scattering volume compared with the transmission geometry. Hence, NS-SANS makes it possible to probe mesoscopic correlations by small-angle scattering within the whole volume of a single thin-film specimen (and not a stack of films), with good data statistics achieved within a feasible counting time of a few hours.
By illuminating samples above their critical angle of reflection, NS-SANS is sensitive to periodic nanoscale structures within the sub-surface region of restricted sample volumes. The data presented in Fig. 3
[adapted from Causer et al. (2023a
)] illustrate experimental scattering patterns obtained for a bulk sample measured in transmission geometry and a polished surface of the same bulk crystal measured in the NS-SANS geometry. The scattering patterns obtained in the NS-SANS geometry match those obtained in transmission, albeit with the addition of specular scattering. This consistency validates the effectiveness of NS-SANS, demonstrating that, despite its modified scattering geometry compared with transmission SANS, it probes the bulk volume of a sample to provide a comprehensive depiction of the nanoscale periodicities present within nano-confined volumes.
| Figure 3 Comparison of scattering patterns obtained in the (a) helical, (b) conical and (c) skyrmion lattice phases of MnSi in the transmission SANS geometry (column 1) and in the NS-SANS geometry (column 2). Adapted with permission from Causer et al. (2023a |
It is of scientific interest to investigate the properties of materials prepared in reduced dimensions, such as thin films and micro-structured bulk materials, as growing evidence suggests that their magnetic properties differ substantially from the properties of genuine bulk materials. Typical open questions may be nicely illustrated in the class of cubic chiral magnets, where the magnetic phase diagrams differ distinctly between bulk single crystals and epitaxial films (Wolf et al., 2022
; Wiedemann et al., 2017
; Huang & Chien, 2012
; Karhu et al., 2011
; Park et al., 2014
; Wilson et al., 2013
; Yu et al., 2011
; Yokouchi et al., 2015
). Hence, there is a unique opportunity to exploit the broad reach of SANS techniques and bridge the gap between bulk studies conducted in transmission and thin-film studies conducted in reflection.
3.2. NS-SANS is non-destructive and provides average statistical information
Real-space imaging techniques, such as Lorentz and electron holography (Wolf et al., 2022
; Yu et al., 2018
), are some of the most common methods for studying magnetic correlations at and beneath the surfaces of materials of reduced sample dimension. However, information is provided on local scales only (typically tens to hundreds of nanometres) and their applicability to extended films and heterostructures supported by substrates is limited (Li et al., 2013
; Heinze et al., 2011
; Milde et al., 2013
). This is because samples are required to be electron transparent, such that either substrates are mechanically milled away from films of interest or films of interest are chemically exfoliated from their substrates. Both approaches can deform thin-film lattices, introducing new stresses and strains and altering their electronic and magnetic properties (Venuti et al., 2024
).
In view of these limitations, a significant advantage of NS-SANS is that it is a non-destructive probe, in the sense that it does not cause radiation damage to the sample and allows one to study a film in its `pristine' state in the presence of its substrate. As a result, no damage is caused to thin-film lattices studied by NS-SANS, ensuring that native properties are preserved and investigated. Furthermore, the large footprint of the neutron beam on the sample surface at glancing incidence in the NS-SANS geometry ensures that reciprocal-space information is averaged over macroscopic volumes, allowing comprehensive analysis of the global structure, rather than the local structure, of the material under investigation (Müller-Buschbaum, 2013
).
3.3. NS-SANS resolves 1D, 2D or 3D structures with nanometre resolution
As the method employs a highly collimated beam, NS-SANS can be used to probe the internal magnetic order of a film with nanometre resolution along each sample axis (x, y and z). In a similar vein, NS-SANS can be used to ascertain the dimensionality (1D, 2D or 3D) of unknown magnetic structures within thin films and near the surfaces of bulk materials, provided the structure has magnetization components normal to the scattering vector. Particularly elegant examples pertain to structures which orient along magnetic field lines, such as superconducting vortices and skyrmion lattices (Brems et al., 2022
; Bishop et al., 1992
; Mühlbauer et al., 2009
; Adams et al., 2018
). Here, a standard horizontal magnet capable of applying magnetic fields parallel and perpendicular to the neutron beam will orient these lattices in front-on orientations (as in Fig. 1
) and side-on orientations, respectively, allowing reciprocal-space information in Qx, Qy and Qz to be obtained. Similarly, NS-SANS is equally adept at resolving structural or chemical periodicities (i.e. non-magnetic-field-dependent periodicities) in Qx, Qy and Qz by rotating the in-plane sample axes 90° relative to the neutron beam between two consecutive measurements (note that Qz information is contained in each measurement).
Importantly, the nanometre-scale resolution achievable with NS-SANS surpasses the attainable by polarized neutron reflectometry (PNR). PNR is considered the most well established neutron scattering technique for thin-film analysis (Causer et al., 2023b
), but it is limited to nanometre resolution in Qz, micrometre resolution in Qx (parallel to the neutron direction) and no resolution in Qy (perpendicular to the neutron direction) due to relaxed beam collimation along Qy (Saerbeck, 2014
). Thus, NS-SANS is a far superior technique enabling comprehensive 3D mapping of magnetic, structural or chemical periodicities in nano-confined materials, and it is particularly indispensable when fine nanoscale analysis across all spatial dimensions is required.
3.4. NS-SANS surpasses the surface-only sensitivity of GI-SANS
It is widely acknowledged that the emergent magnetic phenomena exhibited by most magnetic materials occur beneath their surfaces, extending across their entire thickness. Examples include skyrmion tubes in cubic chiral magnets (Mühlbauer et al., 2009
), quintuple-layer antiferromagnetic order in magnetic topological insulators (Li et al., 2023
), magnetic fan-like structures in oxide heterostructures (Guasco et al., 2022
), chiral soliton lattices in monoaxial chiral magnets (Kishine & Ovchinnikov, 2015
), magnetic vortices in altermagnets (Amin et al., 2024
), flux-line lattices in type II superconductors (Brems et al., 2024
), Bloch skyrmions in nano-pillar arrays (Gilbert et al., 2015
) and vertical chiral domain walls in heavy-metal ferromagnetic heterostructures (Stellhorn et al., 2019
).
The surfaces of bulk magnets appear to reflect changes in the energetics of samples with reduced dimension. Chiral bobbers and non-trivial 3D hopfions have been reported at the surfaces of thinned bulk compounds (Redies et al., 2019
; Zheng et al., 2023
). Ferromagnetism has been observed near the surfaces of non-magnetic bulk crystals (Ohtsuka et al., 2021
; Jaccarino et al., 1967
), and the surfaces of B20 magnets support an unexplained strong evolution from Néel to Bloch twisting (Zhang et al., 2018
). These results in combination demonstrate the need for sub-surface probes capable of resolving nanoscale magnetic structures with nanometre to micrometre spatial extent beneath the surfaces of nano-confined volumes.
As NS-SANS illuminates samples above their critical angle of total external reflection, sub-surface correlations within the bulk volume of the sample are probed. This characteristic makes NS-SANS a more comprehensive and universal technique for nanostructure determination compared with GI-SANS. In the latter configuration, samples are illuminated below their critical angle of total external reflection and only an evanescent wave extends into the sample volume, which is exponentially damped within a few nanometres of the surface. As a result, GI-SANS is suited to probing surface roughness or the size and shape of nanostructures (such as nano-dot or nano-stripe arrays) positioned at or on top of a surface (Nouhi et al., 2017
).
Nevertheless, it can be challenging to achieve pure GI-SANS conditions in an experiment, as the GI-SANS condition requires incident angles less than the critical angle of reflection. Table 1
lists the critical angles, scattering length densities (SLDs) and correlation lengths (L) of a select number of monoaxial chiral magnets, cubic chiral magnets and type II superconducting bulk materials of interest. It is observed that αc for all materials listed in the table is less than 0.5° at a neutron wavelength of 5 Å. The problem is exacerbated in low-SLD materials such as MnSi (with SLD = 0.18 × 10−6 Å−2) which has a critical angle of 0.069° at 5 Å; this can be difficult to achieve experimentally.
|
Distinguishing between GI-SANS and NS-SANS regimes becomes problematic for magnetic samples measured near αi/αc = 1. The prevalence of spin-dependent critical angles at magnetic surfaces and spin-flip scattering at magnetic interfaces suggests the potential to superimpose NS-SANS and GI-SANS conditions in a single measurement. For instance, in the case of an unpolarized beam incident on a magnetic sample near αc, the spin-up component may be incident below its αc in the GI-SANS regime, while the spin-down component might be incident above its αc in the NS-SANS regime. Scenarios such as this suggest that regime classification should consider the characteristics of both incoming and outgoing spin channels, and this is a matter for future investigation.
3.5. NS-SANS provides tuneable sampling depth
By selectively varying the incident angle above the critical angle of reflection, the NS-SANS regime provides tuneable depth sensitivity across nano-confined volumes. Consequently, this provides NS-SANS with the functionality to avoid scattering from substrates and support structures, which otherwise form a source of background in transmission SANS measurements.
For a homogeneous sample, the of neutrons at a given incidence angle will depend on the attenuation and αc of the material, as outlined in equations (1)
and (2)
. The neutron wavelength can be used as an additional control parameter of the penetration depth, as the αc of a given material will vary linearly with λ. For an inhomogeneous sample, such as a heterostructure, the situation becomes more complex as the beam is modulated by multiple reflections and refractions at the thin-film interfaces. Nonetheless, typical penetration depths ranging from nanometres to micrometres are achieved in the NS-SANS regime, as shown in Fig. 2
. Accordingly, NS-SANS can be used to investigate films of differing thicknesses, as well as to perform volume-dependent characterizations of the average sub-surface structure in single specimens.
3.6. Polarized NS-SANS enables characterization of chiral nanostructures
Polarized NS-SANS experiments provide opportunities to improve our understanding of thin-film chiral spin systems. Opportunities exist to study the of non-collinear spin textures characterized by continuous left-handed or right-handed rotations of the sample's magnetic moments in non-centrosymmetric magnets. Examples include helical and conical spin textures in cubic chiral magnets such as MnSi, FeGe, MnGe, Fe1−xCoxSi and Cu2OSeO3 (Bauer & Pfleiderer, 2016
), as well as chiral soliton lattices in monoaxial chiral magnets such as CrNb3S6 and YbNi3Al9 (Kishine & Ovchinnikov, 2015
).
Polarized NS-SANS could be more broadly employed to characterize the chirality of topological features including Néel and Bloch domain walls (Gilbert et al., 2015
; Liyanage et al., 2023
), as recently demonstrated in ferromagnetic heavy-metal heterostructures (Stellhorn et al., 2019
). Moreover, polarized NS-SANS facilitates the separation of nuclear and magnetic scattering contributions, enabling a clearer analysis of the depth and lateral distribution of spin textures and their evolution under external stimuli, such as magnetic fields and temperature variations. These capabilities would be invaluable for advancing research in spintronics, quantum computing and materials exhibiting exotic magnetic phases.
4. Conclusion
This article presents a perspective on the benefits of NS-SANS geometries for the characterization of nanoscale magnetic structures and related phenomena in condensed matter systems in the thin-film limit. In summary, NS-SANS is a comprehensive scattering technique providing access to 1D, 2D and 3D structures located beneath the surfaces of materials. It offers tuneable depth sensitivity and provides information which is averaged over macroscopic volumes, enabling global Given that transmission SANS is subject to prohibitively high background and the conditions for GI-SANS can be difficult to satisfy, NS-SANS is likely to lead to several advances in the scientific understanding of magnetic phenomena near surfaces and their extension into nano-confined volumes, resulting in breakthroughs in many areas of magnetism research.
Acknowledgements
I wish to thank Christian Pfleiderer, Paul Butler and Laura Guasco for fruitful discussions which motivated this paper. I also thank Anton Paar GmbH for sponsoring the 2024 Otto Kratky Prize. Open access publishing facilitated by Monash University, as part of the Wiley–Monash University agreement via the Council of Australian University Librarians.
Funding information
The following funding is acknowledged: Australian Research Council through the Centre of Excellence in Future Low-Energy Electronics Technologies (grant No. CE170100039); Australian Institute of Nuclear Science and Engineering through the Early Career Researcher Grant (grant No. ALNGRA2301).
References
Adachi, K., Achiwa, N. & Mekata, M. (1980). J. Phys. Soc. Jpn 49, 545–553. CrossRef CAS Google Scholar
Adams, T., Chacon, A., Wagner, M., Bauer, A., Brandl, G., Pedersen, B., Berger, H., Lemmens, P. & Pfleiderer, C. (2012). Phys. Rev. Lett. 108, 237204. CrossRef PubMed Google Scholar
Adams, T., Garst, M., Bauer, A., Georgii, R. & Pfleiderer, C. (2018). Phys. Rev. Lett. 121, 187205. CrossRef PubMed Google Scholar
Amin, O. J., Dal Din, A., Golias, E., Niu, Y., Zakharov, A., Fromage, S. C., Fields, C. J. B., Heywood, S. L., Cousins, R. B., Maccherozzi, F., Krempaský, J., Dil, J. H., Kriegner, D., Kiraly, B., Campion, R. P., Rushforth, A. W., Edmonds, K. W., Dhesi, S. S., Šmejkal, L., Jungwirth, T. & Wadley, P. (2024). Nature 636, 348–353. CrossRef CAS PubMed Google Scholar
Bauer, A., Garst, M. & Pfleiderer, C. (2016). Phys. Rev. B 93, 235144. CrossRef Google Scholar
Bauer, A. & Pfleiderer, C. (2016). Generic aspects of skyrmion lattices in chiral magnets pp. 1–28. Cham: Springer International Publishing. Google Scholar
Bishop, D. J., Gammel, P. L., Huse, D. A. & Murray, C. A. (1992). Science 255, 165–172. CrossRef PubMed CAS Google Scholar
Brandt, E. H. (1995). Rep. Prog. Phys. 58, 1465–1594. CrossRef CAS Web of Science Google Scholar
Brems, X. S., Mühlbauer, S., Córdoba-Camacho, W. Y., Shanenko, A. A., Vagov, A., Albino Aguiar, J. & Cubitt, R. (2022). Supercond. Sci. Technol. 35, 035003. Web of Science CrossRef Google Scholar
Brems, X. S., Mühlbauer, S. & Cubitt, R. (2024). Supercond. Sci. Technol. 38, 025004. Google Scholar
Causer, G. L., Chacon, A., Heinemann, A. & Pfleiderer, C. (2023a). J. Appl. Cryst. 56, 26–35. CrossRef CAS IUCr Journals Google Scholar
Causer, G. L., Guasco, L., Paull, O. & Cortie, D. (2023b). Physica Status Solidi RRL 17, 2200421. CrossRef Google Scholar
Cubitt, R., Forgan, E. M., Yang, G., Lee, S. L., Paul, D. M., Mook, H. A., Yethiraj, M., Kes, P. H., Li, T. W., Menovsky, A. A., Tarnawski, Z. & Mortensen, K. (1993). Nature 365, 407–411. CrossRef CAS Google Scholar
Desautels, R. D., DeBeer-Schmitt, L., Montoya, S. A., Borchers, J. A., Je, S.-G., Tang, N., Im, M.-Y., Fitzsimmons, M. R., Fullerton, E. E. & Gilbert, D. A. (2019). Phys. Rev. Mater. 3, 104406. Web of Science CrossRef Google Scholar
Dosch, H. (1992). Critical phenomena at surfaces and interfaces: evanescent X-ray and neutron scattering. Berlin: Springer-Verlag. Google Scholar
Farmer, T. O., Guo, E.-J., Desautels, R. D., DeBeer-Schmitt, L., Chen, A., Wang, Z., Jia, Q., Borchers, J. A., Gilbert, D. A., Holladay, B., Sinha, S. K. & Fitzsimmons, M. R. (2019). Phys. Rev. Mater. 3, 081401. Web of Science CrossRef Google Scholar
Forgan, E. M., Fault, D. M., Mook, H. A., Timmins, P. A., Keller, H., Sutton, S. & Abell, J. S. (1990). Nature 343, 735–737. CrossRef CAS Google Scholar
Gilbert, D. A., Maranville, B. B., Balk, A. L., Kirby, B. J., Fischer, P., Pierce, D. T., Unguris, J., Borchers, J. A. & Liu, K. (2015). Nat. Commun. 6, 8462. Web of Science CrossRef PubMed Google Scholar
Guasco, L., Khaydukov, Y., Kim, G., Keller, T., Vorobiev, A., Devishvili, A., Wochner, P., Christiani, G., Logvenov, G. & Keimer, B. (2022). Adv. Mater. 34, 2202971. CrossRef Google Scholar
Hamilton, W. A., Butler, P. D., Baker, S. M., Smith, G. S., Hayter, J. B., Magid, L. J. & Pynn, R. (1994). Phys. Rev. Lett. 72, 2219–2222. CrossRef PubMed CAS Web of Science Google Scholar
Hamilton, W., Butler, P., Hayter, J. B., Magid, L. & Kreke, P. (1996). Physica B 221, 309–319. CrossRef CAS Google Scholar
Hamilton, W., Porcar, L. & Magid, L. (2005). Physica B 357, 88–93. CrossRef CAS Google Scholar
Heinze, S., von Bergmann, K., Menzel, M., Brede, J., Kubetzka, A., Wiesendanger, R., Bihlmayer, G. & Blügel, S. (2011). Nat. Phys. 7, 713–718. Web of Science CrossRef CAS Google Scholar
Huang, S. X. & Chien, C. L. (2012). Phys. Rev. Lett. 108, 267201. Web of Science CrossRef PubMed Google Scholar
Jaccarino, V., Wertheim, G. K., Wernick, J. H., Walker, L. R. & Arajs, S. (1967). Phys. Rev. 160, 476–482. CrossRef CAS Web of Science Google Scholar
Jiang, Z., Lee, D. R., Narayanan, S., Wang, J. & Sinha, S. K. (2011). Phys. Rev. B 84, 075440. CrossRef Google Scholar
Kanazawa, N., Onose, Y., Arima, T., Okuyama, D., Ohoyama, K., Wakimoto, S., Kakurai, K., Ishiwata, S. & Tokura, Y. (2011). Phys. Rev. Lett. 106, 156603. Web of Science CrossRef PubMed Google Scholar
Karhu, E. A., Kahwaji, S., Robertson, M. D., Fritzsche, H., Kirby, B. J., Majkrzak, C. F. & Monchesky, T. L. (2011). Phys. Rev. B 84, 060404. CrossRef Google Scholar
Kishine, J.-I. & Ovchinnikov, A. (2015). Solid State Physics, Vol. 66, pp. 1–130. Academic Press. Google Scholar
Kyrey, T., Ganeva, M., Witte, J., Feoktystov, A., Wellert, S. & Holderer, O. (2021). Appl. Sci. 11, 3085. Google Scholar
Li, S., Liu, T., Liu, C., Wang, Y., Lu, H.-Z. & Xie, X. C. (2023). Natl Sci. Rev. 11, nwac296. CrossRef PubMed Google Scholar
Li, Y., Kanazawa, N., Yu, X. Z., Tsukazaki, A., Kawasaki, M., Ichikawa, M., Jin, X. F., Kagawa, F. & Tokura, Y. (2013). Phys. Rev. Lett. 110, 117202. Web of Science CrossRef PubMed Google Scholar
Liyanage, W. L. N. C., Tang, N., Quigley, L., Borchers, J. A., Grutter, A. J., Maranville, B. B., Sinha, S. K., Reyren, N., Montoya, S. A., Fullerton, E. E., DeBeer-Schmitt, L. & Gilbert, D. A. (2023). Phys. Rev. B 107, 184412. CrossRef Google Scholar
Meynell, S. A., Wilson, M. N., Krycka, K. L., Kirby, B. J., Fritzsche, H. & Monchesky, T. L. (2017). Phys. Rev. B 96, 054402. CrossRef Google Scholar
Milde, P., Köhler, D., Seidel, J., Eng, L. M., Bauer, A., Chacon, A., Kindervater, J., Mühlbauer, S., Pfleiderer, C., Buhrandt, S., Schütte, C. & Rosch, A. (2013). Science 340, 1076–1080. CrossRef CAS PubMed Google Scholar
Mühlbauer, S., Binz, B., Jonietz, F., Pfleiderer, C., Rosch, A., Neubauer, A., Georgii, R. & Böni, P. (2009). Science 323, 915–919. PubMed Google Scholar
Mühlbauer, S., Honecker, D., Périgo, A., Bergner, F., Disch, S., Heinemann, A., Erokhin, S., Berkov, D., Leighton, C., Eskildsen, M. R. & Michels, A. (2019). Rev. Mod. Phys. 91, 015004. Google Scholar
Müller-Buschbaum, P. (2013). Polym. J. 45, 34–42. Google Scholar
Nouhi, S., Hellsing, M. S., Kapaklis, V. & Rennie, A. R. (2017). J. Appl. Cryst. 50, 1066–1074. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ohara, S., Fukuta, S., Ohta, K., Kono, H., Yamashita, T., Matsumoto, Y. & Yamaura, J. (2014). JPS Conf. Proc. 3, 017016. Google Scholar
Ohtsuka, Y., Kanazawa, N., Hirayama, M., Matsui, A., Nomoto, T., Arita, R., Nakajima, T., Hanashima, T., Ukleev, V., Aoki, H., Mogi, M., Fujiwara, K., Tsukazaki, A., Ichikawa, M., Kawasaki, M. & Tokura, Y. (2021). Sci. Adv. 7, eabj0498. CrossRef PubMed Google Scholar
Park, H. S., Yu, X., Aizawa, S., Tanigaki, T., Akashi, T., Takahashi, Y., Matsuda, T., Kanazawa, N., Onose, Y., Shindo, D., Tonomura, A. & Tokura, Y. (2014). Nat. Nanotechnol. 9, 337–342. CrossRef CAS PubMed Google Scholar
Pospelov, G., Van Herck, W., Burle, J., Carmona Loaiza, J. M., Durniak, C., Fisher, J. M., Ganeva, M., Yurov, D. & Wuttke, J. (2020). J. Appl. Cryst. 53, 262–276. Web of Science CrossRef CAS IUCr Journals Google Scholar
Redies, M., Lux, F. R., Hanke, J.-P., Buhl, P. M., Müller, G. P., Kiselev, N. S., Blügel, S. & Mokrousov, Y. (2019). Phys. Rev. B 99, 140407. CrossRef Google Scholar
Reimann, T., Mühlbauer, S., Schulz, M., Betz, B., Kaestner, A., Pipich, V., Böni, P. & Grünzweig, C. (2011). Nat. Commun. 6, 8813. CrossRef Google Scholar
Ruderer, M. A., Meier, R., Porcar, L., Cubitt, R. & Müller-Buschbaum, P. (2012). J. Phys. Chem. Lett. 3, 683–688. Web of Science CrossRef CAS PubMed Google Scholar
Saerbeck, T. (2014). Solid State Physics, Vol. 65, pp. 237–352. Academic Press. Google Scholar
Siegfried, S.-A., Sukhanov, A. S., Altynbaev, E. V., Honecker, D., Heinemann, A., Tsvyashchenko, A. V. & Grigoriev, S. V. (2017). Phys. Rev. B 95, 134415. CrossRef Google Scholar
Song, D., Wang, L., Wang, W., Zheng, F., Tang, J., Wang, S., Zhu, C., Caron, J., Kovács, A., Liu, Z., Mandrus, D., Tian, M., Du, H. & Dunin-Borkowski, R. E. (2020). Phys. Rev. B 102, 064432. CrossRef Google Scholar
Stellhorn, A., Sarkar, A., Kentzinger, E., Waschk, M., Schöffmann, P., Schröder, S., Abuladze, G., Fu, Z., Pipich, V. & Brückel, T. (2019). J. Magn. Magn. Mater. 476, 483–486. CrossRef CAS Google Scholar
Venuti, M. B., Zhang, X. S., Lang, E. J., Addamane, S. J., Paik, H., Allen, P., Sharma, P., Muller, D., Hattar, K., Lu, T.-M. & Eley, S. (2024). npj Spintronics 2, 16. CrossRef Google Scholar
Wiedemann, B., Chacon, A., Zhang, S. L., Khaydukov, Y., Hesjedal, T., Soltwedel, O., Keller, T., Mühlbauer, S., Adams, T., Halder, M., Pfleiderer, C. & Böni, P. (2017). arXiv, 1710.00544. Google Scholar
Wilson, M. N., Karhu, E. A., Lake, D. P., Quigley, A. S., Meynell, S., Bogdanov, A. N., Fritzsche, H., Rößler, U. K. & Monchesky, T. L. (2013). Phys. Rev. B 88, 214420. CrossRef Google Scholar
Wolf, D., Schneider, S., Rößler, U. K., Kovács, A., Schmidt, M., Dunin-Borkowski, R. E., Büchner, B., Rellinghaus, B. & Lubk, A. (2022). Nat. Nanotechnol. 17, 250–255. Web of Science CrossRef CAS PubMed Google Scholar
Wolff, M., Magerl, A. & Zabel, H. (2007). Thin Solid Films 515, 5724–5727. CrossRef CAS Google Scholar
Yokouchi, T., Kanazawa, N., Tsukazaki, A., Kozuka, Y., Kikkawa, A., Taguchi, Y., Kawasaki, M., Ichikawa, M., Kagawa, F. & Tokura, Y. (2015). J. Phys. Soc. Jpn 84, 104708. CrossRef Google Scholar
Yu, X., Morikawa, D., Yokouchi, T., Shibata, K., Kanazawa, N., Kagawa, F., Arima, T. & Tokura, Y. (2018). Nat. Phys. 14, 832–836. CrossRef CAS Google Scholar
Yu, X. Z., Kanazawa, N., Onose, Y., Kimoto, K., Zhang, W. Z., Ishiwata, S., Matsui, Y. & Tokura, Y. (2011). Nat. Mater. 10, 106–109. Web of Science CrossRef CAS PubMed Google Scholar
Zhang, S., van der Laan, G., Müller, J., Heinen, L., Garst, M., Bauer, A., Berger, H., Pfleiderer, C. & Hesjedal, T. (2018). Proc. Natl Acad. Sci. USA 115, 6386–6391. CrossRef CAS PubMed Google Scholar
Zheng, F., Kiselev, N. S., Rybakov, F. N., Yang, L., Shi, W., Blügel, S. & Dunin-Borkowski, R. E. (2023). Nature 623, 718–723. CrossRef CAS PubMed Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
access
journal menu



