research papers
Controlling the magnetic structure in W-type hexaferrites
aCenter for Materials Crystallography, Department of Chemistry and Interdisciplinary Nanoscience Center (iNANO), Aarhus Universitet, Langelandsgade 140, Aarhus C, 8000, Denmark
*Correspondence e-mail: mch@chem.au.dk
W-type hexaferrites with varied Co/Zn ratios were synthesized and the magnetic order was investigated using neutron powder diffraction. In SrCo2Fe16O27 and SrCoZnFe16O27 a planar (Cm′cm′) magnetic ordering was found, rather than the uniaxial ordering (P63/mm′c′) found in SrZn2Fe16O27 which is common in most W-type hexaferrites. In all three studied samples, non-collinear terms were present in the magnetic ordering. One of the non-collinear terms is common to the planar ordering in SrCoZnFe16O27 and uniaxial ordering in SrZn2Fe16O27, which could be a sign of an imminent transition in the magnetic structure. The thermomagnetic measurements revealed magnetic transitions at 520 and 360 K for SrCo2Fe16O27 and SrCoZnFe16O27, and Curie temperatures of 780 and 680 K, respectively, while SrZn2Fe16O27 showed no transition but a Curie temperature at 590 K. This leads to the conclusion that the can be adjusted by fine-tuning the Co/Zn stoichiometry in the sample.
Keywords: hexaferrites; magnetic ordering; neutron diffraction; multiferroics.
1. Introduction
Magnetoelectric materials are theorized to enable a plethora of new electronics. One of these is new energy-efficient electronics for data storage, which is important to combat the increasing energy demand from information and communications technologies (Andrae & Edler, 2015). Magnetoelectric materials employed in logic devices that employ spin–orbit logic have shown potential beyond complementary metal–oxide–semiconductor transistors in terms of switching energy, switching voltage and logic density (Manipatruni et al., 2019). The magnetoelectric memory is also non-volatile, i.e. it does not need constant power to store the information.
Despite the promising applications of magnetoelectric materials, their property of poor magnetoelectric coefficients, or none at all, at room temperature is still a significant challenge. Magnetoelectric hexaferrites are a promising class of multiferroic materials that are attracting increasing interest (Kimura, 2012) because they hold promise for overcoming some of these challenges. One type of hexaferrite, the Z-type, has recently been demonstrated as a single-phase room-temperature non-volatile memory (Zhai et al., 2018). Magnetoelectric effects have been discovered across the hexaferrite family, where the Y-type hexaferrite Ba2−xSrxMg2Fe12O22 (Zhai et al., 2017), the Z-type hexaferrite Sr3Co3Fe24O41 (Kitagawa et al., 2010) and W-type hexaferrites (Song et al., 2014) are worth noting. Common to all is the potential for controlling the magnetoelectric effect through structural and substitutional modifications.
It is widely accepted that the feature responsible for magnetoelectric coupling in hexaferrites is the presence of conical spin order (Nakajima et al., 2016; Kocsis et al., 2019; Zhai et al., 2017; Shirokov et al., 2021). These conical orderings give rise to magnetoelectric coupling resulting from anti-symmetric exchange: the inverse Dzylaoshinkii–Moriya interaction (Tokura et al., 2014; Fabrykiewicz et al., 2021).
A system with potential conical spin ordering is the family of W-type hexaferrites, with Co2+ substituting Fe2+ as the transition metal. It is known that Co2+ changes the magnetocrystalline anisotropy axis from uniaxial to planar at room temperature for SrCo2−xZnxFe16O27 when x goes from 2 to 0 (Mørch et al., 2019). Here, three different magnetic structures of W-type hexaferrites are determined by neutron powder diffraction methods at room temperature. The compounds investigated are W-type hexaferrites, SrCo2−xZnxFe16O27 (x = 0, 1 and 2), and the samples are investigated by combined of a model to high-resolution neutron and X-ray powder diffraction data.
It is highly relevant to determine the magnetic structures of SrCo2−xZnxFe16O27 because each compound is a possible magnetoelectric material. Previous attempts to determine the magnetic structure have been limited to assigning the ferrimagnetic ordering of the seven sublattices and assessing whether the general ordering is planar, canted or uniaxial. These descriptions do not accurately represent the inherent symmetry of the material or lead to an understanding of the coupling between ferroelectricity and ferromagnetism. Magnetoelectric coupling mechanisms, such as the inverse Dzyaloshinskii–Moriya effect, necessitate the breaking of inversion symmetry. An accurate description of the structure, both magnetic and nuclear, can lead to an understanding that further improves current and new magnetoelectric materials.
To our knowledge, conical spin order in SrCo2−xZnxFe16O27 has been assumed but no investigation conducted. While BaCo2−xZnxFe16O27 have been investigated (Paoluzi et al., 1988) and a conical order assumed, only one end member, BaCo2Fe16O27, was investigated using neutron diffraction up to a Qmax of 3.2 Å−1 [Q = (4π/λ)sin(θ/2), where θ is the scattering angle and λ is the wavelength of the incident radiation] with 11 measured reflections (100), (200) and [(002):(0018)]. The structure was reported to have an easy-plane total spin alignment, but no further discussion of the symmetry was given. This paper reports the different magnetic symmetries present in the W-type hexaferrites (WHFs) SrCo2−xZnxFe16O27 investigated by powder diffraction at room temperature. The ambient diffraction data are supported by isofield thermomagnetic measurements of samples in the range x = 0 to 2 in steps of 0.5, to support the understanding of a composition-dependent controllable temperature.
2. Experimental
2.1. Synthesis
SrCo2−xZnFe16O27 was synthesized by a sol–gel autocombustion step. First, the salts Sr(NO3)2, Fe(NO3)3·9H2O and/or Co(NO3)2·6H2O and/or Zn(NO3)2·6H2O (all Sigma–Aldrich ACS reagent grade, ≥98.0% purity) were weighed in stoichiometric molar ratios and dissolved in 125 ml of demineralized water in a 2000 ml crystallizing dish. Citric acid was also dissolved in 125 ml of demineralized water and added in an equal ratio to the nitrates under constant stirring. The solution was neutralized with approximately 75 ml of NH4OH (≥25% NH3 alkaline solution) and dried overnight in a convection oven at 373 K until a gel was formed. Subsequently, the gel was fired in a preheated furnace at 623 K for 30 min until the autocombustion had finished and then cooled to room temperature in air. The dried and crushed powders were calcined in a furnace as indicated in Table 1. The optimal sintering temperature was found through multiple synthesis attempts at different temperatures. The chosen temperatures produced the most phase pure samples.
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2.2. Powder diffraction
Both neutron powder diffraction data and synchrotron X-ray powder diffraction data were measured for the prepared samples. The high-quality high-resolution data were measured using the mail-in service on the following instruments.
Neutron powder diffraction data were measured for the three samples on the SuperHRPD beamline at J-PARC, Tokai-Mura, Ibaraka, Japan (Torii et al., 2011, 2014). Samples were packed in vanadium cans and data were collected at room temperature using the time-of-flight (TOF) method on three detector banks. For the high-angle bank Q = 1.567–24.89 Å−1, for the 90° bank Q = 1.176–18.01 Å−1 and for the low-angle bank Q = 0.397–9.057 Å−1. Data were collected for 8 h from each sample.
Synchrotron X-ray powder diffraction data were measured on beamline I11 at Diamond Light Source, Didcot, Oxfordshire, UK (Thompson et al., 2009). The wavelength was 0.826555 (10) Å and samples were packed in 0.3 mm glass capillaries. The data were collected at room temperature using Debye–Scherrer geometry employing multi-analysing crystal devices in a constant-velocity scan covering the angular range 2θ = 0–150° (data below 2° were blocked by the beam stop), Q = 0.53–14.7 Å−1. The total collection time was 1 h per sample.
Figs. S1 and S2 in the supporting information show the four collected diffraction patterns and the refined model for SrCo2Fe16O27. In addition to this, CIFs containing all refined patterns were generated using TOPAS macros as described in pdCIFplotter (Rowles, 2022), which also describes software to visualize the patterns; these files are available as a ZIP archive in the supporting information.
2.3. Magnetic measurements
The magnetic measurements were carried out with a Physical Properties Measuring System (PPMS) from Quantum Design equipped with a vibrating sample magnetometer with an oven attachment. Powder samples were dispersed in high-temperature zircar cement (product number QDS-4097-030), and a small nugget was dried on top of the resistive platinum heater. A copper foil was wrapped around the sample and heater to minimize radiative heat loss. Isofield thermomagnetic measurements were carried out for all three samples, where magnetization versus temperature was measured from 300 to 900 K. For all measurements the heating and cooling rate was 10 K min−1. Before each initial heat ramp, samples were magnetized at 10 000 Oe (797.70 kA m−1). The five samples SrCo2−xZnxFe16O27 (x = 0, 0.5, 1, 1.5 and 2) were measured upon heating, with an applied field of 100 Oe (7.98 kA m−1) for SrCo2Fe16O27 and 50 Oe (3.99 kA m−1) for the remainder.
3. Results and discussion
The powder diffraction experiments carried out at room temperature show the two different magnetic orderings at play, while the isofield
experiments indicate when, where and how this ordering might change. For an accurate description of the structural and magnetic differences it is also highly important to characterize correctly any impurities present.3.1. details
Rietveld refinements of the crystal and magnetic structures were carried out using TOPAS (Version 6; Coelho, 2018) where the four patterns (one X-ray and three neutron TOF, one per bank) for a given composition were refined in a Symmetry mode analysis was carried out using ISODISTORT (part of the ISOTROPY Software Suite, https://iso.byu.edu/iso/isotropy.php) to generate the magnetic structures for the three samples. The number of independent observations was calculated for each as described by David (1999), giving ratios of independent observations to parameters affecting peak intensity of the crystal and magnetic structures of 28:1 and 11:1, respectively. An overview of agreement factors is given in Table 2. For further details, see Section S1.2. All full diffraction patterns are also available in the supporting information.
‡Phase fractions from X-ray data (I11) given in parentheses. §Transformation to rhombohedral axis 5.908047 Å × 31/2 = 10.233038 Å. |
3.2. Magnetic structure
In our previous study we described the uniaxial magnetic ordering in SrZn2Fe16O27 with the magnetic (MSG) P63/mm′c′ (further details given in Section S2.1), but did not determine the MSG of the planar ordering in SrCo2Fe16O27 (Mørch et al., 2019). Fig. 1 shows highlights of the refined magnetic contribution to the powder diffractograms for the three samples. The presence of the stronger (006) peak at 1.15 Å−1 in SrCo2Fe16O27 and SrCoZnFe16O27 indicates magnetic ordering perpendicular to the c axis, as the magnetic scattering is given by (Lefmann, 2017; Marshall & Lovesey, 1971). Here, is the scattering vector, while, sj is the spin on site j and is the spin on site j perpendicular to the scattering vector. As the materials are ferrimagnetic, we further limit the search to MSGs which have ferromagnetic ordering on all Wyckoff sites occupied by Fe. Cm′cm′ and Cmc′m′ are both maximal subgroups of P63/mmc1′ that fulfil this criterion of magnetic ordering in the ab plane giving rise to ferromagnetism. Fig. S3 shows the relation between P63/mmc and Cmcm. We chose Cm′cm′ to describe the data as the concurrently active mGM4+ mode describes a significant canting towards the c axis (further described in Section 3.4).
Fig. 2 shows the relation between the paramagnetic parent P63/mmc1′ and the two refined models, P63/mm′c′ and Cm′cm′. A possible common C2′/m′, for these is also shown. Fig. S5 shows the relation between the paramagnetic parent P63/mmc1′ and the alternative Cmc′m′ and P63/mm′c′. The MSG P63/mm′c′ only allows for ferromagnetism along the c axis, while in the Cm′cm′ MSG ferromagnetism in the ab plane is allowed. The MSG C2′/m′ is of low enough symmetry to allow for ferromagnetic order at any angle to the c axis.
3.3. Occupancy and purity
Good contrast between Co, Fe and Zn in the combined 16O27 where both Co and Zn could substitute for Fe, FeOcc and ZnOcc were refined, with Co given as CoOcc = 1 − Feocc − ZnOcc. As a consequence of reducing the symmetry from P63/mm′c′ to Cm′cm′, some Wyckoff sites were split. Co primarily occupied the split 8doct and 4eoct sites, with a preference for 8doct in SrCo2Fe16O27 and for 4eoct in SrCoZnFe16O27 (Fig. 3). This shows that assuming equal site occupancy behaviour between compositions is not necessarily correct, which could be revealed here due to the good Fe/Co contrast available. Zn primarily occupied the 8ftet (4ftet) site and then the 8etet (4etet) site. The primary occupancy sites of Co on octahedral sites and Zn on tetrahedral sites follow the expected inversion behaviour from spinels, as previously described by Mørch et al. (2019). The resulting compositions from the refinements are SrCo1.71 (3)Fe16.29 (3)O27, SrCo0.84 (9)Zn0.81 (13)Fe16.35 (9)O27 and SrZn1.799 (11)Fe16.201 (11)O27.
allowed for a robust of the respective occupancies. All sites were assumed to be fully occupied, while Co and Zn occupancies were refined on all sites. For SrCoZnFeThe high-quality data also made it possible to account for impurities, for which more information is given in Table 2. A full overview of the refined occupancies, atomic positions and atomic displacement parameters is given in the supporting information in Tables S1–S3.
3.4. Magnetic ordering
The magnetic TOPAS by exporting the TOPAS.str file from ISODISTORT. The symmetry-mode makes it possible to turn on/off non-collinear components easily to investigate their significance. The magnitude of the distortion was compared with the uncertainty, and it was found that all three samples had non-collinear magnetic symmetry modes active. Sites with partial Fe/Co occupancy had the relative magnitude of the fixed to the number of unpaired electrons (5:3). The planar magnetic ordering of SrCo2Fe16O27 and SrCoZnFe16O27 is well described in the magnetic Cm′cm′ using the irreducible representations mGM6+ and mGM4+. Canting towards the c axis with antiferromagnetic ordering is observed predominantly on the 8ftet, 8foct and 8ftbp sites. In SrCoZnFe16O27 an additional small antiferromagnetic ordering in the ab plane is observed for the 8doct site.
was set up as a distortion-mode inThe axial ordering of SrZn2Fe16O27 is well described using mGm2+ in the MSG P63/mm′c′. A small canting towards the ab plane, with antiferromagnetic ordering, is observed for the 6goct and 12koct sites. In Fig. 3 models of the three magnetic structures are shown. Additional details of the magnetic structures are given in Tables S1–S3.
As noted by Shirokov et al. (2021), a `truly' collinear magnetic ordering is not symmetry protected in either P63/mm′c′ or Cm′cm′, and the model best describing our data supports the inclusion of these non-collinear terms. The observation of similar canting on the 8doct site in SrCoZnFe16O27 and the 6goct site in SrZn2Fe16O27 (highlighted in Fig. S5), while absent in SrCo2Fe16O27, could indicate the preliminary stages of a transition in the magnetic structure.
3.5. Magnetic transition
Isofield thermal magnetometry has previously been used to show the transition between uniaxial, planar and conical magnetic orderings in hexaferrites (Takada et al., 2005; Tachibana et al., 2003). Here, the thermomagnetic data shown in Fig. 4 are for x = 0, 1 and 2 and reveal magnetic transitions well below the Curie temperature for both SrCo2Fe16O27 and SrCoZnFe16O27, seen as a steep decrease in magnetization with increasing temperature. This feature is observed around 520 K for SrCo2Fe16O27 and 360 K for SrCoZnFe16O27 but is not present in SrZn2Fe16O27. The weak transition visible around ∼725 K in SrZn2Fe16O27 is near the Curie temperature of the SrFe12O19 impurity at ∼750 K (Shirk & Buessem, 1969). The changes in transition temperature between the samples indicate that the transition can be tuned by adjusting the Co/Zn ratio.
In addition to the three samples investigated using neutron diffraction, thermomagnetic measurements of SrCo1.5Zn0.5Fe16O27 and SrCo0.5Zn1.5Fe16O27 were also conducted. The transition temperatures indicated by the maximum of the derivative along with the Curie temperatures were extracted and are given in Table 3. From the data, it is also seen that the Curie temperature decreases with increasing Zn content.
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By combining the results from the ). A previous study by Graetsch et al. (1984) also indicated a change in the magnetocrystalline anisotropy for composition and temperature. A sample with a composition around SrCo0.65Zn1.35Fe16O27 would have a magnetic between Cm′cm′ and P63/mm′c′ at room temperature, possibly giving rise to interesting magnetic properties including magnetoelectrics at room temperature.
of the magnetic structures with the thermomagnetic measurements, a tentative magnetic phase diagram can be constructed (Fig. 5To clarify further the magnetic phase diagram of SrCo2−xZnxFe16O27, neutron diffraction at various compositions and temperatures should be conducted. This could help clarify whether a conical magnetic structure appears and if this can be stabilized at room temperature. In future work, we hope to reveal the nature of this transition using temperature-dependent neutron diffraction and further investigate if a conical ordering is present and possibly responsible for magnetoelectric coupling (Song et al., 2014).
4. Conclusion
The W-type hexaferrite structures SrCo2Fe16O27, SrCoZnFe16O27 and SrZn2Fe16O27 were synthesized, and their magnetic symmetries were characterized using a combination of neutron and synchrotron powder diffraction. The two Co-containing compounds have a planar magnetic ordering, described in the magnetic Cm′cm′, while the Zn sample without Co has uniaxial ordering described in P63/mm′c′.
The inclusion of non-collinear terms in the magnetic structural
allowed significant improvement in describing the observed data, suggesting that these are present in the magnetic structure of all three samples. Furthermore, the thermomagnetic measurements indicate a below the Curie temperature in the two Co-containing compounds. The presence of Zn lowered both the transition temperature and the Curie temperature. All in all, this shows that both the magnetic ordering and transition temperature can be tuned by the Co/Zn ratio.6. Related literature
For further literature related to the supporting information, see Belov et al. (1957), Campbell et al. (2022) and Opechowski & Guccione (1965).
Supporting information
Additional background, tables and figures. DOI: https://doi.org/10.1107/S1600576723002133/in5078sup1.pdf
Accompanying https://doi.org/10.1107/S1600576723002133/in5078sup2.zip
and mCIF files. DOI:Acknowledgements
The authors would like to acknowledge the staff at SuperHRPD-JPARC (Takashi Kamiyama, Masato Hagihala and Ping Miao) and the staff at Diamond I11 (Claire Murray and Chiu Tang) for measuring the powder diffraction data used in this work.
Funding information
Financial support from the Danish Ministry of Higher Education and Science for the SMART and Q-MAT lighthouse and affiliation with the Center for Integrated Materials Research (iMAT) at Aarhus University is gratefully acknowledged.
References
Andrae, A. S. G. & Edler, T. (2015). Challenges, 6, 117–157. CrossRef Google Scholar
Aroyo, M. I., Kirov, A., Capillas, C., Perez-Mato, J. M. & Wondratschek, H. (2006). Acta Cryst. A62, 115–128. Web of Science CrossRef CAS IUCr Journals Google Scholar
Aroyo, M. I., Perez-Mato, J., Orobengoa, D., Tasci, E., De La Flor, G. & Kirov, A. (2011). Bulg. Chem. Commun. 43, 183–197. CAS Google Scholar
Aroyo, M. I., Perez-Mato, J. M., Capillas, C., Kroumova, E., Ivantchev, S., Madariaga, G., Kirov, A. & Wondratschek, H. (2006). Z. Kristallogr. Cryst. Mater. 221, 15–27. Web of Science CrossRef CAS Google Scholar
Belov, N., Neronova, N. & Smirnova, T. (1957). Kristallografiya, 2, 315–325. CAS Google Scholar
Campbell, B. J., Stokes, H. T., Perez-Mato, J. M. & Rodríguez-Carvajal, J. (2022). Acta Cryst. A78, 99–106. Web of Science CrossRef IUCr Journals Google Scholar
Coelho, A. A. (2018). J. Appl. Cryst. 51, 210–218. Web of Science CrossRef CAS IUCr Journals Google Scholar
David, W. I. F. (1999). J. Appl. Cryst. 32, 654–663. Web of Science CrossRef CAS IUCr Journals Google Scholar
Fabrykiewicz, P., Przeniosło, R. & Sosnowska, I. (2021). Acta Cryst. A77, 160–172. Web of Science CrossRef IUCr Journals Google Scholar
Graetsch, H., Haberey, F., Leckebusch, R., Rosenberg, M. & Sahl, K. (1984). IEEE Trans. Magn. 20, 495–500. CrossRef Web of Science Google Scholar
Kimura, T. (2012). Annu. Rev. Condens. Matter Phys. 3, 93–110. Web of Science CrossRef CAS Google Scholar
Kitagawa, Y., Hiraoka, Y., Honda, T., Ishikura, T., Nakamura, H. & Kimura, T. (2010). Nat. Mater. 9, 797–802. Web of Science CrossRef CAS PubMed Google Scholar
Kocsis, V., Nakajima, T., Matsuda, M., Kikkawa, A., Kaneko, Y., Takashima, J., Kakurai, K., Arima, T., Kagawa, F., Tokunaga, Y., Tokura, Y. & Taguchi, Y. (2019). Nat. Commun. 10, 1247. Web of Science CrossRef PubMed Google Scholar
Lefmann, K. (2017). Neutron Scattering: Theory, Instrumentation, and Simulation. Niels Bohr Institute, University of Copenhagen, Denmark. Google Scholar
Manipatruni, S., Nikonov, D. E., Lin, C.-C., Gosavi, T. A., Liu, H., Prasad, B., Huang, Y.-L., Bonturim, E., Ramesh, R. & Young, I. A. (2019). Nature, 565, 35–42. Web of Science CrossRef CAS PubMed Google Scholar
Marshall, W. & Lovesey, S. W. (1971). Theory of Thermal Neutron Scattering: The Use of Neutrons for the Investigation of Condensed Matter. Oxford: Clarendon Press. Google Scholar
Mørch, M. I., Ahlburg, J. V., Saura-Múzquiz, M., Eikeland, A. Z. & Christensen, M. (2019). IUCrJ, 6, 492–499. Web of Science CrossRef ICSD PubMed IUCr Journals Google Scholar
Nakajima, T., Tokunaga, Y., Matsuda, M., Dissanayake, S., Fernandez-Baca, J., Kakurai, K., Taguchi, Y., Tokura, Y. & Arima, T. (2016). Phys. Rev. B, 94, 195154. Web of Science CrossRef Google Scholar
Opechowski, W. & Guccione, R. (1965). Magnetism, edited by G. T. Rado & H. Suhl, Vol. II, Part A, pp. 105–165. New York: Academic Press. Google Scholar
Paoluzi, A., Licci, F., Moze, O., Turilli, G., Deriu, A., Albanese, G. & Calabrese, E. (1988). J. Appl. Phys. 63, 5074–5080. CrossRef CAS Web of Science Google Scholar
Perez-Mato, J., Gallego, S., Tasci, E., Elcoro, L., de la Flor, G. & Aroyo, M. (2015). Annu. Rev. Mater. Res. 45, 217–248. CAS Google Scholar
Rowles, M. R. (2022). J. Appl. Cryst. 55, 631–637. Web of Science CrossRef CAS IUCr Journals Google Scholar
Shirk, B. & Buessem, W. (1969). J. Appl. Phys. 40, 1294–1296. CrossRef CAS Web of Science Google Scholar
Shirokov, V. B., Razumnaya, A. G. & Mikheykin, A. S. (2021). Acta Cryst. B77, 740–748. Web of Science CrossRef IUCr Journals Google Scholar
Song, Y., Fang, Y., Wang, L., Zhou, W., Cao, Q., Wang, D. & Du, Y. (2014). J. Appl. Phys. 115, 093905. Web of Science CrossRef Google Scholar
Tachibana, T., Nakagawa, T., Takada, Y., Izumi, K., Yamamoto, T., Shimada, T. & Kawano, S. (2003). J. Magn. Magn. Mater. 262, 248–257. Web of Science CrossRef ICSD CAS Google Scholar
Takada, Y., Nakagawa, T., Fukuta, Y., Tokunaga, M., Yamamoto, T. A., Tachibana, T., Kawano, S., Igawa, N. & Ishii, Y. (2005). Jpn. J. Appl. Phys. 44, 3151. Web of Science CrossRef Google Scholar
Thompson, S. P., Parker, J. E., Potter, J., Hill, T. P., Birt, A., Cobb, T. M., Yuan, F. & Tang, C. C. (2009). Rev. Sci. Instrum. 80, 075107. Web of Science CrossRef PubMed Google Scholar
Tokura, Y., Seki, S. & Nagaosa, N. (2014). Rep. Prog. Phys. 77, 076501. Web of Science CrossRef PubMed Google Scholar
Torii, S., Yonemura, M., Ishikawa, Y., Miao, P., Tomiyasu, R., Satoh, S., Noda, Y. & Kamiyama, T. (2014). J. Phys. Conf. Ser. 502, 012052. CrossRef Google Scholar
Torii, S., Yonemura, M., Yulius Surya Panca Putra, T., Zhang, J., Miao, P., Muroya, T., Tomiyasu, R., Morishima, T., Sato, S., Sagehashi, H., Noda, Y. & Kamiyama, T. (2011). J. Phys. Soc. Jpn, 80(Suppl. B), SB020. Google Scholar
Zhai, K., Shang, D.-S., Chai, Y.-S., Li, G., Cai, J.-W., Shen, B.-G. & Sun, Y. (2018). Adv. Funct. Mater. 28, 1705771. Web of Science CrossRef Google Scholar
Zhai, K., Wu, Y., Shen, S., Tian, W., Cao, H., Chai, Y., Chakoumakos, B. C., Shang, D., Yan, L., Wang, F. & Sun, Y. (2017). Nat. Commun. 8, 519. Web of Science CrossRef PubMed Google Scholar
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