High-Temperature First-Order-Reversal-Curve (FORC) Study of Magnetic Nanoparticle Based Nanocomposite Materials

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High-Temperature First-Order-Reversal-Curve (FORC) Study of Magnetic Nanoparticle Based Nanocomposite Materials B. Dodrill 1, P. Ohodnicki 2, M. McHenry 3, A. Leary 3 1 Lake Shore Cryotronics, Inc., 575 McCorkle Blvd., Westerville, OH, USA 2 National Energy Technology Lab, 626 Cochrans Mill Road, Pittsburgh, PA, USA 3 Carnegie Mellon University, Materials Science and Engineering, 5000 Forbes Ave., Pittsburgh, PA, USA ABSTRACT First-order-reversal-curves (FORCs) are an elegant, nondestructive tool for characterizing the magnetic properties of materials comprising fine (micron- or nano-scale) magnetic particles. FORC measurements and analysis have long been the standard protocol used by geophysicists and earth and planetary scientists investigating the magnetic properties of rocks, soils, and sediments. FORC can distinguish between single-domain, multi-domain, and pseudo single-domain behavior, and it can distinguish between different magnetic mineral species [1]. More recently, FORC has been applied to a wider array of magnetic material systems because it yields information regarding magnetic interactions and coercivity distributions that cannot be obtained from major hysteresis loop measurements alone. In this paper, we will discuss this technique and present high-temperature FORC results for two magnetic nanoparticle materials: CoFe nanoparticles dispersed in a SiO2 matrix, and FeCo-based nanocrystalline amorphous/nanocomposites. Keywords: magnetometry, first-order-reversal-curves, FORC, nanoscale magnetic materials INTRODUCTION The most common measurement that is performed to characterize a material s magnetic properties is measurement of the major hysteresis loop M(H). The parameters that are most commonly extracted from the M(H) loop are: the saturation magnetization Ms, the remanence Mr, and the coercivity Hc. First-order-reversal-curves (FORCs) [2] can give information that is not possible to obtain from the hysteresis loop alone. These curves include the distribution of switching and interaction fields, and identification of multiple phases in composite or hybrid materials containing more than one phase [3,4]. A FORC is measured by saturating a sample in a field Hsat, decreasing the field to a reversal field Ha, then measuring moment versus field Hb as the field is swept back to Hsat. This process is repeated for many values of Ha, yielding a series of FORCs. The measured magnetization at each step as a function of Ha and Hb gives M(Ha, Hb), which is then plotted as a function of Ha and Hb in field space. The FORC distribution ρ(ha, Hb) is the mixed second derivative, i.e., ρ(ha, Hb) = -(1/2) 2 M(Ha, Hb)/ Ha Hb. The FORC diagram is a 2D or 3D contour plot of ρ(ha, Hb). It is common to change the coordinates from (Ha, Hb) to Hc = (Hb - Ha)/2 and Hu = (Hb + Ha)/2. Hu represents the distribution of interaction or reversal fields, and Hc represents the distribution of switching or coercive fields. EXPERIMENT To demonstrate the utility of the FORC measurement and analysis protocol for characterizing hightemperature magnetic properties of materials, measurements were conducted for two different magnetic

M (emu/cc) nanoparticle materials: CoFe nanoparticles dispersed in a SiO2 matrix [5], and FeCo-based nanocrystalline amorphous/nanocomposites [6,7]. All magnetic measurements were performed using a Lake Shore Cryotronics MicroMag vibrating sample magnetometer (VSM) with a high-temperature furnace, enabling variable temperature measurements from room temperature to 800 C. All measured magnetization data are presented in terms of the magnetic moment (emu) as a function of field (Oe) and temperature ( C). There are a number of open source FORC analysis software packages such as FORCinel [8] and VARIFORC [9]. In this paper, FORCinel and custom analysis software were used to calculate the FORC distributions and plot the FORC diagrams. DISCUSSION CoFe Nanoparticles Dispersed in an SiO2 Matrix Figure 1 shows the room temperature hysteresis loops with SiO2 volume fractions ranging from 40% to 80%, and show that the magnetic properties tend towards superparamagnetism with increasing SiO2. Figure 2 shows the room temperature 2D FORC diagrams at SiO2 volume fractions of 40%, 50% and 60%. There is a single peak in each FORC distribution that is centered at Hc, and there is a distribution of both interaction (Hu, vertical axis) and switching fields (Hc, horizontal axis), the former due to interparticle interactions, and the latter due to different particles switching at different applied field strengths. Note that the peaks in the FORC distributions are shifted towards negative interaction fields (Hu, vertical axis) which is a feature that is typically associated with exchange interactions occuring between magnetic particles [10]. CoFe-SiOx Hysteresis Measurements 750 500 250 0-250 -500 40% 50% 60% 70% 80% -750-400 -200 0 200 400 Figure 1. Room temperature hysteresis loops for CoFe nanoparticles dispersed in SiO2 with volume fractions ranging from 40% to 80% (data are volume normalized and presented in emu/cc). Figure 2. Room temperature 2D FORC diagrams for CoFe nanoparticles dispersed in SiO2 volume fractions of 40% (left), 50% (middle) and 60% (right).

Moment (emu) Moment (emu) The hysteresis M(H) loops and FORCs were measured at temperatures of T = 25, 100, 200, 300, and 400 C for the sample containing 40% volume fraction of CoFe nanoparticles dispersed in a 60% volume fraction of SiO2. Transmission electron microscope (TEM) images show that the CoFe nanoparticles are approximately 10 nm in diameter and separated by an intergranular SiO2 phase [5]. Figure 3 shows the hysteresis loops at each temperature and the measured FORCs at 25 C. Figure 4 shows the 2D FORC diagrams at temperatures ranging from 25 to 400 C. There is a single peak in the FORC distribution at each temperature that is centered at Hc and that shifts towards lower switching fields as temperature increases, coincident with the decrease in Hc with increasing temperature. In a FORC diagram, entirely closed contours are typically considered to be a fingerprint of single-domain (SD) particles, whereas entirely open contours that diverge towards the Hu axis are a fingerprint of multi-domain (MD) behavior [1]. The results shown in figure 4 demonstrate closed contours at lower temperatures and open contours at increasing temperatures, suggesting a transition from SD to MD behavior based upon the conventional interpretation of FORC diagrams. Further studies are required to better understand if this traditional interpretation is valid for such densely packed nanoparticle aggregates. At all temperatures there is a distribution of both interaction (Hu, vertical axis) and switching fields (Hc, horizontal axis), the former owing to interparticle interactions, and the latter due to different particles switching at different applied field strengths. 0.00025 0.00020 0.00015 0.00010 0.00005 0.00000-0.00005-0.00010-0.00015-0.00020-0.00025-750 -500-250 0 250 500 750 25 C 100 C 200 C 300 C 400 C 0.0003 0.0002 0.0002 0.0001 0.0001 0.0000-0.0001-0.0001-0.0002-0.0002-0.0003-500 -250 0 250 500 Figure 3. Hysteresis loops at T = 25, 100, 200, 300 and 400 C (left) and measured FORCs at 25 C (right) for CoFe nanoparticles (40%) dispersed in SiO2 (60%). Figure 4. 2D FORC diagrams at T = 25, 200, 300 and 400 C.

Moment (emu) Moment (emu) FeCo-based Nanocrystalline Amorphous/Nanocomposites Fe56Co24Si2B13Nb4Cu1 samples were fabricated using a conventional melt spinning process, and TEM images show that the samples are fully amorphous or composed of nanocrystal diameters <~10 nm embedded in an intergranular amorphous phase after being subjected to a primary crystallization treatment at approximately 520 C ( crystallized ). The hysteresis M(H) loops and FORCs were measured for a disc-shaped sample (0.3 cm diameter) with the applied field oriented parallel to the ribbon plane, and at temperatures of T = 25, 400, and 780 C, which is above the primary crystalization temperature, and then at 25 C after cooling from 780 C. Figure 5 shows the M(H) loops at each temperature and the measured FORCs at 780 C. Figure 6 shows the corresponding 2D FORC diagrams and show a wishbone-like feature at 780 C and at 25 C after cooling. Wishbone FORCs typically mean that there are dipolar (or magnetostatic) interactions between particles. Because the Curie temperature of the amorphous phase is approximately 520 C, at elevated temperatures dipolar interactions could indeed become an important interaction, whereas at lower temperatures the nanoparticles and amorphous precusor should be fully exchange coupled. The peak in the FORC distribution is shifted towards positive reversal or interaction fields (Hu, vertical axis) as temperature increases, which can suggest that dipolar interactions are becoming increasingly important with increasing temperature near and above the Curie temperature of the amorphous precursors. As-Cast: M(H) 0.30 0.20 0.10 0.00-0.10-0.20-0.30-750 -500-250 0 250 500 750 25C 400C 780C 25C after cooling As-Cast: FORC @ 780C 0.12 0.08 0.04 0.00-0.04-0.08-0.12-300 -100 100 300 Figure 5. M(H) (left) at 25, 400, 780 and 25 C after cooling, and the measured FORCs (right) at 780 C for as-cast FeCo-based nanocrystalline amorphous/nanocomposite sample.

Figure 6. 2D FORC diagrams at 25 (upper left), 400 (upper right), 780 (lower left) and 25 C after cooling (lower right) for a as-cast FeCo-based nanocrystalline amorphous/nanocomposites. CONCLUSIONS FORC analysis is indispensable for characterizing interactions and coercivity distributions in a wide array of magnetic materials, including; natural magnets, magnetic recording media [11,12], nanowire arrays [13], permanent magnets [14], and exchanged coupled magnetic multilayers [15]. In this paper, we have shown the evolution at high temperatures of the distribution of switching and interaction fields as determined from FORC analysis for CoFe nanoparticles and FeCo-based nanocrystalline magnetic materials REFERENCES 1. A.R. Muxworthy, A.P. Roberts, First-Order-Reversal-Curve (FORC) Diagrams, Encyclopedia of Geomagnetism and Paleomagnetism. (Spring, 2007). 2. C.R. Pike, A.P. Roberts, K.L. Verosub, Characterizing Interactions in Fine Particle Systems Using First Order Reversal Curves, J. Appl. Phys. 85, 6660 (1999). 3. B.C. Dodrill, First-Order-Reversal-Curve Analysis of Multi-phase Ferrite Magnets, Magnetics Business and Technology. (Spring 2015). 4. C. Carvallo, A.R. Muxworthy, D.J. Dunlop, First-Order-Reversal-Curve (FORC) Diagrams of Magnetic Mixtures: Micromagnetic Models and Measurements, Physics of the Earth and Planetary Interiors. 154, 308 (2006). 5. P. R. Ohodnicki, Jr. V. Sokalski, J. Baltrus, J. B. Kortright, X. Zuo, S. Shen, V. Degeorge, M. E. McHenry, D. E. Laughlin, Structure-Property Correlations in CoFe-SiO2 Nanogranular Films Utilizing X-ray Photoelectron Spectroscopy and Small-Angle Scattering Techniques, Journal of Electronic Materials 43 (1), 142 150 (2014). 6. S. Shen, P. R. Ohodnicki, S. J. Kernion, A. M. Leary, V. keylin, J. F. Huth, M. E. McHenry, Nanocomposite Alloy Design for High Frequency Power Conversion Applications, https://www.researchgate.net/publication/236174216_nanocomposite_alloy_design_for_high_freq uency_power_conversion_applications. 7. J. Long, M. E. McHenry, D. E. Laughlin, C. Zheng, H. Kirmse, W. Neumann, Analysis of Hysteretic Behavior in a FeCoB-based Nanocrystalline Alloy by a Preisach Distribution and Electron Holography, J. Appl. Phys., 103, 07E710-12 (2008). 8. R.J. Harrison, J.M. Feinberg, FORCinel: An Improved Algorithm for Calculating First-Order Reversal Curve Distributions Using Locally Weighted Regression Smoothing, Geochemistry, Geophysics, Geosystems 9 11 (2008). FORCinel may be downloaded from: https://wserv4.esc.cam.ac.uk/nanopaleomag/?page_id=31.

9. R. Egli, VARIFORC: An Optimized Protocol for Calculating Non-regular First-Order Reversal Curve (FORC) Diagrams, Global and Planetary Change, 100, 203 (2013). 10. D. Roy, P. S. A. Kumar, Exchange Spring Behaviour in SrFe12O19-CoFe2O4 Nanocomposites, AIP Advances, 5 (2015). 11. B. F. Valcu, D. A. Gilbert, K. Liu, Fingerprinting Inhomogeneities in Recording Media Using the First Order Reversal Curve Method, IEEE Transactions on Magnetics, 47, 2988 (2011). 12. M. Winklhofer, R. K. Dumas, K. Liu, Identifying Reversible and Irreversible Magnetization Changes in Prototype Patterned Media Using First- and Second-Order Reversal Curves, J. Appl. Phys, 103, 07C518 (2008). 13. B. C. Dodrill, L. Spinu, First-Order-Reversal-Curve Analysis of Nanoscale Magnetic Materials, Technical Proceedings of the 2014 NSTI Nanotechnology Conference and Expo, CRC Press (2014). 14. B. C. Dodrill, First-Order-Reversal-Curve Analysis of Nanocomposite Permanent Magnets, Technical Proceedings of the 2015 TechConnect World Innovation Conference and Expo, CRC Press (2015). 15. B. C. Dodrill, Magnetometry and First-Order-Reversal-Curve (FORC) Studies of Nanomagnetic Materials, Dekker Encyclopedia of Nanoscience and Nanotechnology, Taylor & Francis (2016).