Transport Properties of Magnetic Nanogranular Composites with Dispersed Ions in an Insulating Matrix
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ort Properties of Magnetic Nanogranular Composites with Dispersed Ions in an Insulating Matrix V. V. Rylkova,f,*, A. V. Emelyanova,b, S. N. Nikolaeva, K. E. Nikiruya, A. V. Sitnikova,c, E. A. Fadeevd, V. A. Demina, and A. B. Granovskye,** a
National Research Centre Kurchatov Institute, Moscow, 123182 Russia Moscow Institute of Physics and Technology, Dolgoprudny, Moscow oblast, 141700 Russia c Voronezh State Technical University, Voronezh, 394026 Russia d Lappeenranta University of Technology, Lappeenranta, 53851 Finland e Faculty of Physics, Moscow State University, Moscow, 119991 Russia f Kotelnikov Institute of Radio Engineering and Electronics, Fryazino Branch, Russian Academy of Sciences, Fryazino, Moscow oblast, 141190 Russia *e-mail: [email protected] **e-mail: [email protected] b
Received January 31, 2020; revised January 31, 2020; accepted February 6, 2020
Abstract—This review is devoted to an analysis of the electrical resistance, the magnetoresistance, and the anomalous Hall effect in magnetic “ferromagnetic metal–insulator” nanocomposites at a metal content near the percolation threshold and the memristive properties of the capacitor structures based on these nanocomposites. A high content (up to 1022 cm–3) of dispersed atoms in intergranular gaps leads to a logarithmic temperature dependence of the electrical resistance, a positive contribution to the magnetoresistance, the appearance of tunneling anomalous Hall effect, and a multifilament mechanism of resistive switching (which causes an adaptive character of memristor nanocomposites with dispersed atoms). DOI: 10.1134/S1063776120070109
1. INTRODUCTION Nanogranular metal–insulator MxD100 – x composites consist of an array of nanogranules chaotically distributed in an insulator matrix. In the case of magnetic nanocomposites (NCs), granules are in singledomain, superparamagnetic, or inhomogeneously magnetic state depending on the material, the anisotropy energy, the size, and the shape. These systems are of particular interest for many decades due to the application of magnetic NCs in magnetic data recording and to their diverse practically important magnetic, transport, optical, and magnetooptical properties. As examples, we can present giant magnetoresistance [1, 2], the anomalous Hall effect with a giant coefficient [3–5], the magnetorefractive effect [6], and the enhanced magnetooptical Kerr effect [7]. The application of NCs for radioabsorbing coatings is also promising due to their high resistance and magnetic softness at certain compositions near the percolation threshold [8, 9]. The memristive effect [10–14] has been recently detected in magnetic NCs, and it makes these systems competitive with numerous versions of memristors intended for multilevel memory and the emulation of
synapses in neuromorphic networks [15–18] and stimulates a new stage in studying the linear and nonlinear electrophysical properties of these NC systems. In addition, magnetic NCs are an ideal platform for studying the percolation phenomenon, the quantum size effects, the s
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