Damping Dependence of Reversal Magnetic Field on Co-based Nano-Ferromagnetic with Thermal Activation

Transcription

1 Vol. 3, No. 1, pp (2015) Damping Dependence of Reversal Magnetic Field on Co-based Nano-Ferromagnetic with Thermal Activation Nadia Ananda Herianto 1, Ferdy Semuel Rondonuwu 2 and Nur Aji Wibowo 2,* 1 Department of Physics Education, Satya Wacana Christian University, Salatiga, Indonesia 2 Department of Physics, Satya Wacana Christian University, Salatiga, Indonesia * Corresponding Author / nurajiwibowo@gmail.com, TEL: KEYWORDS : Nanodot, Gilbert damping, HAMR, Reversal field, Cobalt Currently, hard disk development has used HAMR technology that applies heat to perpendicular media until near Curie temperature, then cools it down to room temperature. The use of HAMR technology is significantly influence by Gilbert damping constants. Damping affects the magnetization reversal and coercivity field. Simulation is used to evaluate magnetization reversal by completing Landau-Lifshitz-Gilbert explicit equation. A strong ferromagnetic cobalt based material with size nm 3 is used which parameters are anisotropy materials erg/cm 3, magnetic saturation G, exchange constant erg/cm, and various Gilbert damping from 0.09 to 0.5. To observe the thermal effect, two schemes are used which are Reduced Barrier Writing and Curie Point Writing. As a result, materials with high damping is able to reverse the magnetizations faster and reduce the energy barrier. Moreover, it can lower the minimum field to start the magnetizations reversal, threshold field, and probability rate. The heating near Curie temperature has succeeded in reducing the reversal field to 1/10 compared to writing process in absence of thermal field. Manuscript received: December 15, 2014 / Accepted: January 14, 2015 M i = magnetization of unit cell dt = integration step γ= gyromagnetic ratio H w = given bias magnetic field H eff = effective magnetic field H k = anisotropy field H d = demagnetization field H ex = exchange field H ext = external field H th = thermal field H T = threshold field NOMENCLATURE H min = minimum field to start the reversal process M s = saturation magnetization α = Gilbert damping constant T x = room temperature T c = Curie temperature t = time Σn // = magnetization parallel to Hw ΣN = fifty random magnetization numbers K u = anisotropy material AE = exchange constant ΔE = energy barrier P = reversal probability ΔH = field gap 1. Introduction For over 55 years, the densities of hard disk have increased to the level of Tbit/in 2 [1]. Current technologies have been trying to achieve densities toward and beyond 1 Tbit/in 2 [2]. Several technologies, such as Seagate hard disk, have used HAMR (Heat-Assisted Magnetic Recording) technology to increase hard disk capacity into 6 TB and 8 TB even 10 TB in the future [7]. Perpendicular magnetic recording has been widely used and developed to increase the storage capacity by reducing the size of the magnetic particles [3]. Perpendicular magnetic recording can achieve storage density three times better than the longitudinal magnetic recording [4]. Perpendicular magnetic recording can be achieved by aligning the poles of magnetic elements perpendicularly rather than longitudinally. However, by reducing the size of the nanodot, the particles stability decreases [3]. This is known as superparamagnetic limit. Therefore, the use of high anisotropy materials is proposed to solve this problem. High anisotropy materials can be used to lower the switching current as well as increase the thermal stability of the particles [5]. Another problem rises from the use of high anisotropy. High anisotropy use makes energy barrier becomes greater; therefore nanodot takes longer time and is more difficult to magnetize [3]. HAMR is one of the solutions proposed to 16

2 Vol. 3, No. 1, pp (2015) counter this problem. This technology uses laser to heat the particles until near Curie temperature, then rapidly cool them down until room temperature. The heat makes the particles go randomly; therefore, it is capable of lowering the energy required to reverse the nanodots [6]. Several studies have researched about the use of HAMR technology. Budi (2013) found that Gilbert damping affects coercivity field [8]. Coercivity field is the required field to reverse the magnetic moments [3]. In line with Budi, Schrefl et al (2001) posited that magnetization reversal depends highly on the given Gilbert damping constant [9]. Meanwhile, Nur Aji Wibowo (2014) found that magnetization reversal can be realized through an extremely fast heating, followed by rapid cooling [17]. One of the factors affecting the use of HAMR technology is Gilbert damping. Gilbert damping refers to the magnetic moment relaxation in a nanodot. The higher the Gilbert damping, the easier magnetic moments will reverse. Therefore, Gilbert damping affects the magnetization rate [8, 9]. Moreover, Gilbert damping also affects the energy barrier and the reversal field [10]. The decreasing of Gilbert damping causes coercivity field to increase [8]. Moreover, Gilbert damping effectiveness can be changed by modifying the material s concentration, changing the film thickness, and annealing [11, 12]. With the reduction of the nanodot size in magnetic technologies, it is extremely important to understand the nanodot magnetization below micron scales. Therefore, simulation is performed to find more information on detailed magnetization configurations as well as predict the nanodots capabilities [13]. This study is a continuation of previous study about Gilbert Damping Effect on Perpendicular Recording by Wahyu Natalis (2013) [10]. Moreover, this simulation uses broader range of damping constants to evaluate the magnitude of the induced magnetic fields which contribute in reversal process. This simulation is conducted at the material using small and large Gilbert damping constant. Two schemes, Reduced Barrier Writing (RBW) and Curie Point Writing (CPW), are used to evaluate the magnetization in room temperature and after heating near Curie temperature. This study is important to do because it aims to compare the magnetic field used to reverse nanodot with various Gilbert damping in two different conditions. 2. Study methods 2.1 Models This simulation uses nanodot with length width thickness dimensions nm 3. The nanodot model is shown in Fig. 1. Each cell represents a single direction of magnetization. A thickness of 20 nm is chosen in reference to many studies that have used this dimension to do micromagnetic simulation [8, 10, 14, 16]. The simulation is performed using modified micromagnetic simulator by applying thermal aspect. Landau-Lifshitz-Gilbert (LLG) explicit equation is used to solve the total magnetic moments (M i ) required for each nanodot unit cell. Fig. 1 (a) Perpendicular magnetized nanodot model, which is divided into unit cells. (b) Each cell represents a single direction of magnetization. In this equation, M i is the magnetization of unit cell, dt is integration step that is s, γ is the gyromagnetic ratio that is Oe -1. s -1, H eff is the effective magnetic field, α is Gilbert damping constant, and M s is saturated magnetization. Effective magnetic field is the sum of anisotropy field (H k ), demagnetization field (H d ), exchange field (H ex ), external field (H ext ), and thermal field (H th ) as the equation below. H eff = H k + H d + H ex + H ext + H th (2) A strong ferromagnetic Co-based material is used in the simulation as it is a promising candidate for HAMR technology [14]. Many studies have used Co-alloy as the subject of simulation, such as CoSiB/Pt, Co 2 FeAl 0,5 Si 0,5, CoSiB [5, 15-16]. Co-alloy is chosen because of its high anisotropy as high magnetic anisotropy can achieve a more stable magnetization [5] Reduced barrier writing Reduced Barrier Writing is used to find general information about the reversal magnetic process, such as the minimum Gilbert damping constant and energy required to reverse the nanodot. Fig. 2 shows the micromagnetic simulation scheme for RBW. Fig. 2 The scheme of Reduced Barrier Writing (1) 17

3 Vol. 3, No. 1, pp (2015) Curie point writing Curie Point Writing is used to find more detailed information about nanodot reversal after heating near Curie temperature. Curie temperature is critical temperature allowed for heating since at that temperature, the anisotropy field vanishes. As HAMR technology has suggested, the nanodot is heated until Curie temperature, making the nanodot particles random, then it is cooled until room temperature. Kryder claimed that the highest density can be achieved if the recording is heated close or above Curie temperature [6]. Using this method, the energy required to reverse the magnetizations can be lowered. Therefore, it is important to analyze and evaluate the micromagnetic simulation process using CPW. Fig. 3 shows the micromagnetic simulation scheme for Curie Point Writing. Fig. 3 The scheme of Curie Point Writing 2. 2 Numerical method The calculation of reversal probability (P) is performed using 50 variations of random numbers because of the randomly stochastic effect as a result of heating near Curie temperature. By using these variation of random orientations, the reversal probability can be formulated using the following equation. constants vary from 0.09 to 0.5. After being induced by bias magnetic field (H w ), nanodot tends to reverse into the direction parallel to H w. M represents the instaneous magnetization. Meanwhile, M sat represents the initial saturated magnetization. When M/M sat is equal to 1, M and M sat have the same direction and equal magnitude. When M/M sat is equal to -1, M and M sat have equal magnitude, however with opposite direction. When M/M sat is equal to 0, M has no component in the direction of x axis. This condition is knows as switching point. It is observed that bias field Oe are not able to fully magnetize the nanodot with Gilbert damping constants lower than 0.2. To perfectly reverse the magnetizations, material with damping 0.2 requires magnetic field larger than Oe in ns, meanwhile with damping 0.5, it requires field larger than Oe in ns. Therefore, material with higher damping requires lower magnetic field and takes shorter time to magnetize the nanodot. Fig. 4. (b) shows the energy barrier (ΔE) in nanodot after being induced by external magnetic field. Energy barrier separates two nanodot stable states that are initial state and magnetized state. The initial state refers to a state when the nanodot particles have opposite dirrection to H w. Meanwhile, the magnetized state refers to a state when the nanodot particles are parallel to H w. Between the two stable states, an energy is required to reverse the direction of the particles. The energy barrier for material with damping lower than 0.15 appears to be zero as the nanodot is not perfectly magnetized. For nanodot with damping 0.15, ΔE is roughly k B T, meanwhile with damping 0.5, the ΔE is around 3340 k B T. ΔE to reverse magnetizations with higher damping, is lower. This low energy barrier causes the H w to decrease. (3) Σn // is the magnetizations that are parallel to H w while ΣN is fifty random magnetization numbers. Parameters of Co-based material are anisotropy materials (K u ) = erg/cm 3, magnetic saturation (4πM s ) = G, and exchange constant (AE) = erg/cm. Gilbert damping (α) used have broad range from 0.09 to 0.5. In RBW scheme, H th in Equation (2) is equal to zero as the scheme is performed in constant room temperature (298 K). The given field (H w ) increases linearly from 0 to Oe in 2.5 ns. Meanwhile, CPW scheme is performed by applying thermal aspect as the nanodot is heated until near Curie temperature (T c ). Then, the temperature decreases linearly from 373 K to 298 K for 2.5 ns with constant H w. The increasing of magnetic field from zero causes the reversal probability to increase [17]. 3. Result and discussion 3.1 Reduced barrier writing The magnetization reversal process under bias magnetic field at room temperature is presented in Fig. 4. (a) Gilbert damping (a) (b) Fig. 4 (a) Magnetization of material based on Co-alloy with dimension nm 3 under bias magnetic field at room temperature. (b) Energy barrier of nanodot with dimension nm 3 at room temperature. 18

4 Vol. 3, No. 1, pp (2015) 3. 2 Curie point writing Fig. 5 shows the increasing of probability over the given magnetic field using CPW scheme. From the Figure, it can be seen that when H w = 0, P = 0 for the chosen material with various damping. It means that it is impossible to reverse the magnetizations only by applying heat. There is a minimum H w (H min ) required to start the reversal process. When H w > H min, the reversal probability increases significantly until fifty random numbers are completely magnetized (P = 1). A minimum energy is required to magnetize these random numbers perfectly. This energy is called threshold field (H T ). When H w > H T, the reversal probability is constantly equal to 1, in which the magnetizations are in line to H w. (b) Fig. 5 Increasing probability over the given magnetic field using CPW scheme. (c) Fig. 6 A more detailed dependence of (a) H min, (b) H T, (c) ΔH with the respect to Gilbert damping constant. Solid line shows trend fitted to (a) third degree of polynomial function, (b) exponential function, (c) linear function. Fig. 6 (a) presents a more detailed dependence of H min with the respect to Gilbert damping. When the damping material is larger, H min decreases. H min required for nanodot with damping 0.09 is around 1300 Oe, while with damping 0.5, it is roughly 650 Oe. With higher damping in the nanodot, H min required can be lowered. Moreover, as observed in Fig. 6 (b), damping in a material significantly affects H T. H T for material with damping 0.09 is about 2600 Oe. For nanodot with damping 0.5, the H T is approximately 1200 Oe. Therefore, higher Gilbert damping is required to reach lower H T. By applying heat, initial magnetizations become random which reduce the H T around Oe for damping 0.5 compared to RBW scheme. Fig. 6 (c) shows the dependence of ΔH with the respect to Gilbert damping constants. ΔH represents the probability rate with the respect to H w. ΔH decreases linearly as the damping in the nanodot is getting larger. For nanodot with damping 0.09, ΔH is roughly 1300 Oe, while with damping 0.5, ΔH is much lower that is about 550 Oe. Therefore, the probability rate is significantly higher for material with higher damping. (a) 4. Conclusion 19 To find the damping dependence of reversal magnetic field on Co-based ferromagnetic material, micromagnetic simulation is performed. Landau-Lifshiftz equation is used to solve the magnetization reversal process. Material that has high damping, has lower energy barrier. Therefore, its magnetization rate becomes faster and the minimum field to perfectly magnetize the nanodot is lower. The use of heat randomizes initial magnetization state which minimizes the minimum field to start the reversal process and threshold field. The thermal activation can effectively reduce the reversal field to 1/10 compared to writing process without applying heat. Moreover, nanodot with high damping can increase the probability rate. REFERENCES [1] M. L. Plumer, J. van Ek, and W. C. Cain, New paradigms in magnetic recording Physics in Canada, 67, (2011) [2] C. Kim, T. Loedding, S. J. Jang, H. Zeng, Z. Li, Y. Sui, and D. J. Sellmyer, FePt nanodot arrays with perpendicular easy axis, large coercivity, and extremely high density Applied Physics Letters, 91, (2007) DOI: / [3] R. Radhakrishnan, B. Vasi, F. Erden, and C. He, Characterization of heat-assisted magnetic recording channels DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 73, (2007)

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