Vikram Singh1,2, Pallab Bag3, R Rawat4, R Nath5. 1. School of Physics, Indian Institute of Science Education and Research, Thiruvananthapuram, 695551, India. vikram51128@gmail.com. 2. UGC-DAE Consortium for Scientific Research, University Campus, Khandwa Road, Indore, 452001, India. vikram51128@gmail.com. 3. School of Physics, Indian Institute of Science Education and Research, Thiruvananthapuram, 695551, India. 4. UGC-DAE Consortium for Scientific Research, University Campus, Khandwa Road, Indore, 452001, India. 5. School of Physics, Indian Institute of Science Education and Research, Thiruvananthapuram, 695551, India. rnath@iisertvm.ac.in.
Abstract
The nature of the magnetic transition, critical scaling of magnetization, and magnetocaloric effect in Mn1+xFe4-xSi3 (x = 0 to 1) are studied in detail. Our measurements show no thermal hysteresis across the magnetic transition for the parent compound which is in contrast with the previous report and corroborate the second order nature of the transition. The magnetic transition could be tuned continuously from 328 K to 212 K with Mn substitution at the Fe site. The Mn substitution leads to a linear increase in the unit cell volume and a slight reduction in the effective moment. A detailed critical analysis of the magnetization data for x = 0.0 and 0.2 is performed in the critical regime using the modified Arrott plots, Kouvel-Fisher plot, universal curve scaling, and scaling analysis of magnetocaloric effect. The magnetization isotherms follow modified Arrott plots with critical exponent (β [Formula: see text] 0.308, γ [Formula: see text] 1.448, and δ [Formula: see text] 5.64) for the parent compound (x = 0.0) and (β [Formula: see text] 0.304, γ [Formula: see text] 1.445, and δ [Formula: see text] 5.64) for x = 0.2. The Kouvel-Fisher and universal scaling plots of the magnetization isotherms further confirm the reliability of our critical analysis and values of the exponents. These values of the critical exponents are found to be same for both the parent and doped samples which do not fall under any of the standard universality classes. The exchange interaction decays as J(r) ~ r-3.41 following the renormalization group theory and the observed critical exponents correspond to lattice dimensionality d = 2, spin dimensionality n = 1, and the range of interaction σ = 1.41. This value of σ(<2) indicates long-range interaction between magnetic spins. A reasonable magnetocaloric effect ΔSm [Formula: see text] -6.67 J/Kg-K and -5.84 J/Kg-K for x = 0.0 and 0.2 compounds, respectively, with a huge relative cooling power (RCP ~ 700 J/Kg) for 9 T magnetic field change is observed. The universal scaling of magnetocaloric effect further mimics the second order character of the magnetic transition. The obtained critical exponents from the critical analysis of magnetocaloric effect agree with the values deduced from the magnetic isotherm analysis.
The nature of the magnetic transition, critical scaling of magnetization, and magnetocaloric effect in Mn1+xFe4-xSi3 (x = 0 to 1) are studied in detail. Our measurements show no thermal hysteresis across the magnetic transition for the parent compound which is in contrast with the previous report and corroborate the second order nature of the transition. The magnetic transition could be tuned continuously from 328 K to 212 K with Mn substitution at the Fe site. The Mn substitution leads to a linear increase in the unit cell volume and a slight reduction in the effective moment. A detailed critical analysis of the magnetization data for x = 0.0 and 0.2 is performed in the critical regime using the modified Arrott plots, Kouvel-Fisher plot, universal curve scaling, and scaling analysis of magnetocaloric effect. The magnetization isotherms follow modified Arrott plots with critical exponent (β [Formula: see text] 0.308, γ [Formula: see text] 1.448, and δ [Formula: see text] 5.64) for the parent compound (x = 0.0) and (β [Formula: see text] 0.304, γ [Formula: see text] 1.445, and δ [Formula: see text] 5.64) for x = 0.2. The Kouvel-Fisher and universal scaling plots of the magnetization isotherms further confirm the reliability of our critical analysis and values of the exponents. These values of the critical exponents are found to be same for both the parent and doped samples which do not fall under any of the standard universality classes. The exchange interaction decays as J(r) ~ r-3.41 following the renormalization group theory and the observed critical exponents correspond to lattice dimensionality d = 2, spin dimensionality n = 1, and the range of interaction σ = 1.41. This value of σ(<2) indicates long-range interaction between magnetic spins. A reasonable magnetocaloric effect ΔSm [Formula: see text] -6.67 J/Kg-K and -5.84 J/Kg-K for x = 0.0 and 0.2 compounds, respectively, with a huge relative cooling power (RCP ~ 700 J/Kg) for 9 T magnetic field change is observed. The universal scaling of magnetocaloric effect further mimics the second order character of the magnetic transition. The obtained critical exponents from the critical analysis of magnetocaloric effect agree with the values deduced from the magnetic isotherm analysis.
The research on magnetic materials with large magnetocaloric effect (MCE) has increased immensely in recent past since such materials could be used for magnetic refrigeration, an alternative to conventional vapor compression technique[1-3]. The MCE is defined as the isothermal change in magnetic entropy or adiabatic change in temperature with change in external magnetic field, which generally has large value across the magnetic phase transitions. The nature of the magnetic phase transition essentially plays an important role in deciding the practical use of the materials. The giant MCE is observed in various materials across the first order magnetic phase transition due to strong coupling between electronic, structural, and magnetic degrees of freedom[4-9]. However, the drawback of first order phase transition in comparison to second order transition is the hysteresis losses. Therefore, second order phase transition with large MCE could be favorable for magnetic refrigeration purpose where system has to go through repeated cycling[10-13]. Further, for the application purpose, materials with large MCE near room temperature are desirable and rare earth based intermetallic systems due to their large magnetic moment are prominent in the list. However, the high cost of rare earth elements often restricts the use of these materials[2,5,14]. Therefore, the transition metal based intermetallic compounds with large magnetic moment are widely preferred for this purpose[9,13-18].In this regard, MnFe4Si3, which belongs to the Mn5−FeSi3 ( to 5) family, is a potential candidate because of its near room temperature paramagnetic (PM)-ferromagnetic (FM) transition accompanied with a large change in magnetization. The series Mn5−FeSi3 ( to 5) exhibits multiple magnetic phase transitions over a wide temperature range and MCE is observed across these transitions[19-23]. In this series, one end compound Mn5Si3 undergoes two successive magneto-structural transitions: one from paramagnetic (PM) to collinear antiferromagnetic (AF2) state at K coupled with a hexagonal to orthorhombic distortion followed by a AF2 to non-collinear antiferromagnetic (AF1) state at a lower temperature K coupled with an orthorhombic to monoclinic structural change. This system has been studied extensively due to its complex phase diagram, large topological hall resistance, and spin fluctuation driven large MCE across the field induced transitions at low temperature[19,24-27]. The Fe substitution at the Mn site shifts weakly towards high temperatures while remains almost unchanged for . However, for larger doping concentrations (), the transition at collapses and the AFM transition at is transformed to a FM one[21,23]. On the other hand, the compound at the other end of this series i.e. Fe5Si3, shows only a PM to FM transition above room temperature ( K). Unfortunately, Fe5Si3 is unstable below 800 °C and decomposes into Fe3Si and FeSi within few hours time[22,28].MnFe4Si3 crystallizes in a hexagonal crystal structure with space group at room temperature. Transition metal atoms occupy two different crystallographic sites and with Wyckoff positions 4d and 6g, respectively[22,29-31]. The site is fully occupied by the Fe atom, whereas the site is shared by Fe (2/3) and Mn (1/3) atoms. Recent neutron and x-ray diffraction studies on single crystals reveal that MnFe4Si3 crystallizes with a lower symmetry of where the transition metal atoms can have four inequivalent sites: , , , and [32]. The site is partially occupied by both Fe and Mn atoms while the site is fully occupied by the Fe atoms. Nevertheless, still can be considered as an average structure of the low symmetry space group with an assumption that and split into two sites [(, ) and ( and )] each. The magnetic structure refinement confirms that only the site possesses the magnetic moment (~1.5 μB/metal atom) and is ordered in the -plane[32]. These observations are in contrast with the previous studies where all the transition metals are considered to have magnetic moment aligned along the -axis[20,22,29-31,33]. Interestingly, Hiring et al.[32] observed an anisotropic variation of lattice parameters with temperature without any change in crystal symmetry and a thermal hysteresis across the magnetic transition. On these bases, the phase transition was characterized as a first order type. In the subsequent studies using Mässbauer spectroscopy and MCE, Herlitschke et al.[34] found that the magnetic transition cannot be strictly characterized either as first order or second order type. Therefore, they proposed that this uncertainty could be due to the presence of Landau tricritical point near the magnetic transition.Thus, the ambiguity about the nature of the transition in MnFe4Si3 and the possibility to tune the transition upon Mn substitution at the Fe site persuade us to re-examine the Mn1+Fe4−Si3 series. We show that the PM to FM transition is second order in nature, in contrast to previous reports[32,34,35]. A detailed investigation of the PM to FM transition has been performed for and 0.2 via critical analysis of the magnetization data and MCE studies to understand the nature of magnetic interaction.
Methods
A series of polycrystalline Mn1+Fe4−Si3 (with x = 0.0, 0.2, 0.6, 0.4, 0.8, and 1.0) samples is synthesized by arc melting of the constituent elements of purity better than % in a water cooled copper hearth in Ar atmosphere. The ingots thus obtained are flipped and re-melted four times to ensure the homogeneous mixing of elements. The weight loss after melting is estimated to be less than ~1% of the total sample weight. Obtained ingots are wrapped in Ta foils for thermal annealing in vacuum at 950 °C for five days followed by quenching in ice cooled water. The initial characterization to check the phase purity of all the samples is carried out by powder x-ray diffraction (XRD) with Cu K lab source ( Å, PANalytical X’Pert Pro diffractometer). Temperature () dependent powder XRD measurements are carried out over a temperature range 300 K to 15 K for the Mn2Fe3Si3 sample. For this purpose, an Oxford PheniX closed-cycle helium cryostat is used as an attachment to the diffractometer. The synchrotron powder XRD (SXRD) measurement for the parent MnFe4Si3 sample is performed to detect the presence of minor secondary phase of FeMn as reported previously[32]. It is carried out at the angle dispersive x-ray diffraction (ADXRD) beamline (BL-12), Indus-2 synchrotron source, RRCAT[36]. The calibration of photon energy is done by using the LaB6 NIST standard sample and wavelength of the x-ray is estimated to be 0.80471 Å. Rietveld refinement of all the XRD data is performed using FullProf Software Package[37].The DC magnetization () measurements as a function of temperature and magnetic field () are performed using two different magnetometers: Vibrating Sample Magnetometer (VSM) option of 9 T PPMS and 7 T SQUID magnetometer, all from M/s. Quantum Design, USA. For each measurement, the magnetic field is lowered to zero from a high field value in the oscillating mode at high temperatures (above the magnetic transition) in order to minimize the residual field. For the magnetic isotherms (at and below ), the demagnetization field () has been subtracted from the applied field () following the procedure described in ref. [38]. The temperature dependent resistivity measurements (3–300 K) are performed using four probe method in a home-made resistivity set-up attached to a cryostat (M/s. OXFORD Instrument, UK) with 8 T superconducting magnet.
Results and Discussion
X-ray diffraction
Figure 1(a) presents the room temperature powder XRD pattern of MnFe4Si3 measured at the synchrotron facility. Clearly, our synchrotron data do not show any extra peak associated with the foreign phases and all the peaks could be indexed using hexagonal crystal structure with space group [22]. Our Rietveld analysis also confirms that the sample is single phase with the lattice parameters Å, Å, and unit cell volume Å3 which are in good agreement with the previous reports[20,22,31,32]. The XRD patterns for other compositions (x = 0.2, 0.4, 0.6, 0.8, and 1.0) indicate that Mn substitution at the Fe site does not alter the symmetry of the crystal structure, but shifts the major XRD peaks to lower values. A representative XRD pattern at room temperature with Rietveld refinement is shown for the end composition () in Fig. 1(b). The obtained lattice parameters for are also in good agreement with the reported values[22,31]. The variation of lattice parameters (, , and ) with is presented in Fig. 2. It shows that , , and increase linearly with which can be fitted nicely using Vegard’s law[39]. This suggests that Mn replaces Fe in the unit cell, leading to a lattice expansion since Mn has larger atomic radius than Fe. The atoms with Wyckoff position make a chain along the -axis whereas the atoms with Wyckoff position are surrounded by two other atoms in the plane perpendicular to the -axis[22]. The almost linear decreases of c/a with increasing suggests that the expansion of the unit cell is more along the -direction compared to the -direction. This also further indicates that Mn preferentially replaces Fe at the site in the crystal lattice.
Figure 1
The powder XRD patterns of (a) MnFe4Si3 at room temperature using the synchrotron source, (b) Mn2Fe3Si3 at room temperature using the lab source, and (c) Mn2Fe3Si3 at using the lab source. The solid line represents the Rietveld refinement of the experimental data, the green vertical bars correspond to Bragg positions, and the bottom blue line represents the difference between observed and calculated intensities.
Figure 2
The variations of lattice parameters (a) a and c and (b) unit cell volume V and c/a ratio as a function of Mn concentration (x). The solid lines are the fits using Vegard’s law, as described in the text.
The powder XRD patterns of (a) MnFe4Si3 at room temperature using the synchrotron source, (b) Mn2Fe3Si3 at room temperature using the lab source, and (c) Mn2Fe3Si3 at using the lab source. The solid line represents the Rietveld refinement of the experimental data, the green vertical bars correspond to Bragg positions, and the bottom blue line represents the difference between observed and calculated intensities.The variations of lattice parameters (a) a and c and (b) unit cell volume V and c/a ratio as a function of Mn concentration (x). The solid lines are the fits using Vegard’s law, as described in the text.From the temperature dependent XRD and neutron diffraction studies a change of slope in and a minima in are reported for the parent compound MnFe4Si3 across the PM-FM transition ( K), without altering the crystal symmetry[20,32]. In order to check how the Mn substitution affects this feature, temperature dependent XRD measurements are performed on the end composition Mn2Fe3Si3 (). Figure 1(c) presents the XRD pattern along with the Rietveld refinement at 15 K. The crystal structure for remains unchanged down to 15 K, similar to the parent compound. The temperature variation of , , and are shown in Fig. 3. With increasing , increases monotonically while decreases, resulting in a nearly constant unit cell volume up to 200 K which corresponds to the FM transition temperature. Above 200 K or in the PM state, both and increase linearly with , as a consequence, also increases linearly with .
Figure 3
Temperature variation of lattice parameters (a) a and c and (b) unit cell volume V, obtained from the Rietveld refinement of the powder XRD patterns of Mn2Fe3Si3.
Temperature variation of lattice parameters (a) a and c and (b) unit cell volume V, obtained from the Rietveld refinement of the powder XRD patterns of Mn2Fe3Si3.
PM-FM transition
Magnetization () as a function of temperature for the parent compound MnFe4Si3 measured in an applied field of Oe, during cooling and warming is presented in Fig. 4(a). Measurements are done using both VSM and SQUID magnetometers. The rapid increase in around K indicates the PM to FM transition, consistent with the previous reports[20,32]. Previously, Hering et al. observed a thermal hysteresis across the magnetic transition which was taken as a signature of the first order PM-FM phase transition[32]. Our measurements using VSM in temperature sweep mode during cooling and warming exhibits a large thermal hysteresis (~3 K) across the magnetic transition (not shown). On the other hand, when the measurements are done using the same VSM in the settle mode (i.e. after stabilizing at each temperature) (labeled as 1), the hysteresis is reduced substantially (~0.7 K). To further check the hysteresis behaviour, vs was measured using SQUID magnetometer (labeled as 2). As shown in Fig. 4(a), the measurements during cooling and warming show almost no hysteresis. Furthermore, temperature dependent resistivity [] measurement also does not show any signature of thermal hysteresis during cooling and warming (see Fig. 4(b)). The temperature derivative of resistivity [] as a function of is also shown in the same figure to highlight the transition and no hysteresis. These results demonstrate that the thermal hysteresis reported by Hering et al. could be a measurement artifact[32].
Figure 4
(a) Magnetization as a function of temperature at Oe for MnFe4Si3 sample measured during cooling and warming, using VSM and SQUID magnetometers are denoted as: (1) VSM with 1 K/min in settle mode and (2) SQUID magnetometer with 1 K/min in sweep mode. (b) Zero field resistivity () measured during cooling and warming cycles and its derivative () vs are plotted along the left and right -axes, respectively.
(a) Magnetization as a function of temperature at Oe for MnFe4Si3 sample measured during cooling and warming, using VSM and SQUID magnetometers are denoted as: (1) VSM with 1 K/min in settle mode and (2) SQUID magnetometer with 1 K/min in sweep mode. (b) Zero field resistivity () measured during cooling and warming cycles and its derivative () vs are plotted along the left and right -axes, respectively.It is also predicted that one would observe the Landau tricritical point in the vicinity of the PM-FM transition in the parent MnFe4Si3 compound[34]. Therefore, we tried to tune the PM-FM transition to lower temperatures by Mn substitution at the Fe site. Figure 5(a) presents the temperature dependent inverse susceptibility [≡] measured at Oe for Mn1+Fe4−Si3 with x = 0.0, 0.2, 0.4, 0.6, 0.8, and 1. It shows that the PM to FM transition shifts to low temperatures with increasing . Each curve in the high temperature range (well above ) is fitted using Curie-Weiss (CW) lawwhere, is the Curie constant and ΘCW is the CW temperature. For the parent compound, the CW fit provides ΘCW
328.3 K and the effective magnetic moment
μB/transition metal atom. These values are in close agreement with the previous reports[32,34]. The CW fits show that ΘCW is shifting systematically towards low temperatures with increasing Mn concentration as shown in Fig. 5(a). The obtained ΘCW and μeff are plotted as a function of in the left and right -axes, respectively in Fig. 5(b). Both the parameters decrease systematically with increasing [22,34]. An almost linear decrease of ΘCW reflects the effect of dilution which apparently tunes the exchange energy. Thus, as the Mn concentration increases, the unit cell volume increases which weakens the exchange interaction. Moreover, the electronic contribution due to Mn substitution at the Fe site can also be partly responsible for the variation of with , which cannot be completely ignored in the present study. Further, no thermal hysteresis across the PM-FM transition is observed for any compositions even in a very low field of 10 Oe. A representative magnetization curve taken during cooling and warming in Oe for the end composition is shown in the inset of Fig. 5(a) indicating second-order nature of the transition. This also rules out the possibility of a tricritical point, opposing the previous prediction[34].
Figure 5
(a) Temperature dependent inverse susceptibility of Mn1+Fe4−Si3 for x = 0.0, 0.2, 0.4, 0.6, 0.8, and 1.0. The solid lines are the CW fits. Inset: Magnetization as a function of temperature measured during cooling and heating for the end composition . (b) Variation of CW temperature ΘCW and effective magnetic moment with the doping concentration (x).
(a) Temperature dependent inverse susceptibility of Mn1+Fe4−Si3 for x = 0.0, 0.2, 0.4, 0.6, 0.8, and 1.0. The solid lines are the CW fits. Inset: Magnetization as a function of temperature measured during cooling and heating for the end composition . (b) Variation of CW temperature ΘCW and effective magnetic moment with the doping concentration (x).
Critical scaling
The critical analysis of the magnetization data were carried out for the compositions and 0.2 following the procedure described in refs. [40,41]. The critical or scaling analysis is typically carried out by measuring magnetization isotherms ( vs ) in the vicinity of for a second order ferro/ferri-magnetic transition which provides information about the universality class of the system. The set of critical exponents (, , and ) characterizing the phase transition can be obtained from the analysis of the spontaneous magnetization (), zero field susceptibility (), and magnetization isotherm at the , following the set of relations (Power Laws)[11]Here, is the reduced temperature and , Γ, and are the critical coefficients. These critical exponents are related to each other asThese exponents also satisfy the following equation of state which relates magnetization with and Here, and are the scaling functions above and below , respectively. The renormalization of scaling [Eq. (6)] in term of reduced magnetization and reduced susceptibility leads to a much sensitive equation of state[40]Here, + and − correspond to the temperatures above and below , respectively. With the appropriate values of , , and , the curves obtained from the implementation of both the equations [Eqs. (6) and (7)] will collapse into two separate universal branches: one above and another below the .
Arrott Plot
Arrott plot is a very useful and standard method for establishing the onset of ferromagnetic/ferrimagnetic transition and also for an accurate determination of and critical exponents[42]. According to the mean field theory, the vs plots should be straight and parallel lines and the curve at the should pass through origin. However, experimentally such Arrott plots can exhibit considerable curvature arising from the non mean-field type behaviour. Therefore, modified Arrott plots (MAP) are used where is plotted against [43]. From the values of the critical exponents ( and ) that give straight line curves, the universality class of the spin system is uniquely decided. The Arrott plots ( vs ) constructed out of the magnetization isotherms in the vicinity of are shown in Fig. 6(a,b) for two compositions and 0.2, respectively. Clearly, in our case, the vs plots deviate from the straight line behavior suggesting that the mean-field model is inadequate to explain the transition. Moreover, according to the Banerjee criterion, the positive slope of the vs curves indicates the second order nature of the PM to FM transition for both the samples[44].
Figure 6
The Arrott plots ( vs ) for (a) MnFe4Si3 () and (b) Mn1.2Fe3.8Si3 () at various temperatures, above and below TC. The modified Arrott plots ( vs ) for (c) and (d) . The solid lines are the linear fits to the data in the high field regime ( T) and are extrapolated to . Spontaneous magnetization MS and zero field inverse susceptibility as a function of temperature in the left and right -axes, respectively for (e) and (f) , obtained from the intercepts of the modified Arrott plots in the vicinity of TC. The solid lines are the fits as described in the text.
The Arrott plots ( vs ) for (a) MnFe4Si3 () and (b) Mn1.2Fe3.8Si3 () at various temperatures, above and below TC. The modified Arrott plots ( vs ) for (c) and (d) . The solid lines are the linear fits to the data in the high field regime ( T) and are extrapolated to . Spontaneous magnetization MS and zero field inverse susceptibility as a function of temperature in the left and right -axes, respectively for (e) and (f) , obtained from the intercepts of the modified Arrott plots in the vicinity of TC. The solid lines are the fits as described in the text.Next, we used the modified Arrott plots (MAP) based on the Arrott-Noakes equation[43]. In order to obtain the acceptable values of and , we have followed the iterative method described in refs. [40,41] and the starting trial values are taken to be and , corresponding to the 3D Heisenberg model. Using these values of and , initial MAPs are obtained from the magnetic isotherms at different temperatures, around . The data in the high field regime of the MAPs are fitted by a straight line and are extrapolated to obtain the spontaneous magnetization [] and inverse of the zero field susceptibility [] from the intercepts on the and axes, respectively. These values of and are further fitted using Eqs. (2) and (3), respectively to obtain a more reliable set of , , and values. These new set of and are again used to construct another set of MAPs. This procedure was carried out for few iterations after which a set of stable values of , , and are arrived and MAPs are found to be straight lines. The final MAPs are presented in Fig. 6(c,d) with (, ) and (, ) for and 0.2, respectively. Similarly, the final and as a function of temperature, below and above are plotted in Fig. 6(e,f) for and , respectively. These final and data are fitted using Eqs. (2) and (3), respectively. The obtained critical parameters and s are [( and K) from and ( and K) from 1/] and [( and K) from and ( and K) from 1/] for and 0.2, respectively. All these exponents and values are summarized in Table 1. The estimated values of , , and using Eqs. (2) and (3) are very close (within error bars) to the values obtained from the MAPs in Fig. 6(c,d).
Table 1
The obtained values of critical exponents (β, γ, and δ) and TCs from the modified Arrott plot (MAP), Kouvel-Fisher (KF) plot, critical isotherm, Widom scaling, and magnetocaloric effect (MCE)/relative cooling power (RCP) analysis across the PM-FM transition (TC) for Mn1+Fe4−Si3 (x = 0 and 0.2).
System
β
γ
δ
TC (K)
Method
Refs.
x = 0.0
0.308(3)
1.448(5)
5.641(4)
309.60(2)
MAP
0.303(4)
1.451(4)
5.77(7)
309.7(1)
KF
This work
—
—
5.644(9)
309.6
Critical Isotherm
—
—
5.70(7)
309.6
MCE/RCP
—
—
5.70
—
Widom scaling
x = 0.2
0.304
1.445
5.75
278.17(3)
MAP
0.301(1)
1.45(1)
5.77(4)
278.1(1)
KF
This work
—
—
5.64(3)
278
Critical Isotherm
—
—
5.73(13)
278
MCE/RCP
—
—
5.70
—
Widom scaling
Mean Field Model
0.5
1.0
3.0
—
[56]
3D Heisenberg Model
0.365
1.386
4.80
—
[56]
3D Ising Model
0.325
1.241
4.82
[56]
For completeness, we have also tabulated the theoretically predicted values of the critical exponents for different universality classes.
The obtained values of critical exponents (β, γ, and δ) and TCs from the modified Arrott plot (MAP), Kouvel-Fisher (KF) plot, critical isotherm, Widom scaling, and magnetocaloric effect (MCE)/relative cooling power (RCP) analysis across the PM-FM transition (TC) for Mn1+Fe4−Si3 (x = 0 and 0.2).For completeness, we have also tabulated the theoretically predicted values of the critical exponents for different universality classes.
Kouvel-fisher plot
The values of , , and can further be estimated more reliably by analyzing the and data, obtained from the MAPs, in terms of the Kouvel-Fisher plots (KFPs)[45]. In this method, and are plotted as a function of temperature which are expected to produce straight line curves. When fitted by a straight line, the -intercepts give value of and the inverse of the slopes provides the value of critical exponents ( and ), respectively. As shown in Fig. 7, a linear fit to the data results [( and K) from and ( and K) from ] and [( and K) from and ( and K) from ] for and 0.2, respectively. These values of , , and are found to be quite consistent with the ones obtained from the MAP analysis.
Figure 7
The Kouvel-Fisher plot of MS and for (a) and (b) . The solid lines are the linear fits. The solid arrows point to the TCs.
The Kouvel-Fisher plot of MS and for (a) and (b) . The solid lines are the linear fits. The solid arrows point to the TCs.
Critical isotherm
To extract another critical exponent as given in Eq. (4), one can plot vs of the critical magnetization isotherm at the . The reciprocal of the slope of a linear fit would provide the value of . As depicted in Fig. 8, our log vs log plot at the (i.e. at K for and K for ) is almost linear. A straight line fit over the whole measured field range results the same value of for both the compositions. Furthermore, can also be calculated using the Widom scaling relation where two of the three exponents are independent[46,47]. Using the appropriate values of and , obtained from the MAPs we found for both the compounds which matches well with the value obtained above from the critical isotherm at the . This further confirms the self-consistency of our estimation of critical exponents.
Figure 8
The log-log plot of isothermal magnetization (M) vs applied field (H) for (a) and (b) collected at their respective TCs. The solid lines are the linear fits of critical isotherm relation described in Eq. (4) to extract the δ value.
The log-log plot of isothermal magnetization (M) vs applied field (H) for (a) and (b) collected at their respective TCs. The solid lines are the linear fits of critical isotherm relation described in Eq. (4) to extract the δ value.
Validity of scaling law
The values of critical exponents estimated via different methods are tabulated in Table 1. The theoretically expected values for mean-field model, 3D Heisenberg model, and 3D Ising model are also listed for a comparison. The values of critical exponents for and are found to be almost same, reflecting similar kind of interaction in both the systems. The same analysis, is likewise, done for the sample (not shown) and the value of the critical exponents are found to be identical to that of and samples with K. It is interesting to note that our experimental values of critical exponents do not coincide with any of the standard universality classes. Moreover, these critical exponents also do not match with other reported compounds in the literatures. The most closest critical exponents are found to be (, , and ) and (, , ) corresponding to Cr75Fe25 and Cr70Fe30, respectively[40]. Hence, to further check the reliability of the critical exponents we attempted to generate the scaling equation [Eq. (6)] using these values. For this purpose, we renormalized the isotherms following Eq. (6) and using final values of , , and from MAP analysis (Table 1). Figure 9(a,b) present the reduced magnetization () vs the reduced field () for and 0.2, respectively. Here, we have chosen four temperatures above and four temperatures below the . Clearly, these curves collapse into two separate branches in which the isotherms just above form the lower curve and the isotherms just below form the upper curve in Fig. 9. We have also plotted log() vs log() in the insets in order to highlight the two branches and no deviations in the low field regime. Another robust method to ensure the reliability of , , and is to plot vs for temperatures just above and below the following Eq. (7). As reflected in Fig. 10, all the isotherms collapse into two separate branches: one above the and another below the . The above analysis confirms the reliability of the critical exponents and suggests that the interactions get renormalized at the critical regime following the equation of state.
Figure 9
The reduced magnetization vs reduced magnetic field plot for (a) and (b) . The renormalized curves in different temperatures just above and below TC are collapsing into two separate branches. Inset: log() vs log() to magnify the low field dispersions.
Figure 10
The m2 vs h/m plot for (a) and (b) taking the m and h data from Fig. 9. The renormalized curves in (a and b) at different temperatures just above and below TC are collapsing into two separate branches.
The reduced magnetization vs reduced magnetic field plot for (a) and (b) . The renormalized curves in different temperatures just above and below TC are collapsing into two separate branches. Inset: log() vs log() to magnify the low field dispersions.The m2 vs h/m plot for (a) and (b) taking the m and h data from Fig. 9. The renormalized curves in (a and b) at different temperatures just above and below TC are collapsing into two separate branches.
Effective critical exponents
Our estimated critical exponents do not fall in any of the common universality classes. Often the exponents are strongly influenced by various factors such as competing interactions, disorder etc. However, the real exponents reflecting the true universality class of the compounds can be assessed by performing the analysis only in the critical regimes when . Therefore, it is interesting to check what happens to these exponents while approaching the asymptotic/critical limit. We calculated the effective critical exponents ( and ) from the analysis of and , respectively just above and below the , using the equations[41]The obtained values of γeff and βeff are plotted as a function of reduced temperature in Fig. 11(a,b), respectively for and 0.2. For both the compounds βeff and γeff show a nonmonotonic change with and approach a value of 0.31 and 1.5, respectively at the lowest investigated of ~10−3. These values are much closer to the critical exponents and listed in Table 1, obtained from various analysis schemes and they seem to converse to the actual values in the asymptotic regime (). This further reflects not only that the compounds under investigation do not fall in any of the known universality classes and but also our analysis is complete in all respect.
Figure 11
The effective critical exponents (a) and (b) for and 0.2 samples are plotted as a function of reduced temperature , above and below TC.
The effective critical exponents (a) and (b) for and 0.2 samples are plotted as a function of reduced temperature , above and below TC.
Spin interaction
The universality class of the phase transition depends on the nature of exchange interaction. According to the renormalization group theory, the isotropic interaction in -dimensions decays following[48]where, is a positive constant which represents the range of interaction and is the distance. In this model, implies long range interaction while reflects short range interaction. From the value of , the critical exponent can be estimated theoretically as[48]where, Δ, , and and are the lattice dimensionality and spin dimensionality, respectively. Here, one needs to choose the value in Eq. (10) in such a way that a particular set of and values should yield a value close to the experimental one. Using the value of , other critical exponents can further be calculated as , , , , and [40,48]. The choice of and produce , which is close to our experimentally observed value (~1.45). This implies long-range spin-spin interaction in the system under investigation. Using the values , , and , the other critical exponents are estimated to be , , , , , and . These values are quite consistent with the values obtained from other methods as listed in Table 1. Thus, the exchange interaction between magnetic spins decays with distance as . Indeed, our findings are quite identical to that reported for Cr75Fe25 and Cr70Fe30 where the value of critical exponents coincide with the ones calculated from the renormalization group theory for and with a long-range interaction between the spins[40].
Magnetocaloric effect
As we have seen earlier, Mn substitution tunes the value of ΘCW and hence the , continuously from 328 K to 212 K as varies from 0 to 1. This type of materials are favorable for continuous magnetic refrigeration purpose. Therefore, the magnetocaloric effect (MCE) in terms of isothermal change in magnetic entropy (ΔSm) is studied for two compositions ( and 0.2). From the magnetization isotherms ( vs ) at various temperatures, ΔSm values are calculated using the Maxwell relation:Figure 12(a,b) present the temperature variation of ΔSm around the PM-FM transition at different magnetic fields up to 9 T for and 0.2, respectively. Both the compounds show a large negative conventional MCE (ΔSm) with a maxima at the transition temperature. This is a typical caret-like shape, akin to second order magnetic transition for both compositions[3]. For the parent compound (), maximum value of ΔSm (~−2 J/kg-K) for a field change (ΔH) of 2 T is found to match with the previous reports[20,21,32,34]. The reaches a maximum value of ~−6.67 J/Jg-K and ~−5.84 J/Jg-K at their respective s for a field change of 9 T for and 0.2 compositions, respectively. Slightly smaller value of ΔSm for the doped samples could be due to a small reduction in magnetic moment with Mn substitution. Although these values are lower than the well known magneto-caloric material such as Gd, MnAs, Gd5Si2Ge2, FeRh etc, but comparable with other materials showing standard MCE across the second order magnetic transition, near room temperature[1,2,7]. The possible reasons for enhanced MCE in these materials could be the strong magnetocrystalline anisotropy, preferential occupancy of Mn/Fe atoms etc, which can not be assessed from the present data on the polycrystalline sample.
Figure 12
Temperature dependent magnetic entropy change (ΔSm) for Mn1+Fe4−Si3 (a) and (b) in the magnetic field change of 1 T to 9 T, obtained from the isothermal curves using Eq. (11). Normalized magnetic entropy as a function of the rescaled temperature in different fields for (c) and (d) . Magnitude of the maximum peak value of ΔSm (Δ) and relative cooling power () as a function of magnetic field in the left and right -axes, respectively for (e) and (f) . Both the quantities are fitted by the corresponding scaling equation.
Temperature dependent magnetic entropy change (ΔSm) for Mn1+Fe4−Si3 (a) and (b) in the magnetic field change of 1 T to 9 T, obtained from the isothermal curves using Eq. (11). Normalized magnetic entropy as a function of the rescaled temperature in different fields for (c) and (d) . Magnitude of the maximum peak value of ΔSm (Δ) and relative cooling power () as a function of magnetic field in the left and right -axes, respectively for (e) and (f) . Both the quantities are fitted by the corresponding scaling equation.In addition, MCE is also being utilized to study the critical phenomena and the nature of the magnetic phase transition from the scaling behavior of ΔSm[49,50]. The phenomenological universal scaling curve construction was first proposed by Franco et al.[51,52] in 2006 which was later utilized for analyzing the nature of magnetic phase transitions[53]. More recently, critical analysis of MCE has also been carried out quantitatively and proven to be very effective for a detail understanding of the magnetic phase transition[49]. Here, we have performed the universal curve construction and the critical analysis of MCE for both and 0.2 samples following the procedure described in refs. [51,52]. In the universal curve construction, magnetic entropy curve is normalized to its maximum peak value [ΔSm(T)/Δ] at each ΔH value and is plotted as a function of rescaled temperature . To define , we first choose two reference temperatures ( and ) which must satisfy the condition: ΔSm/Δ = ΔSm/Δ where is a constant which has a value within the range . The rescaled temperature can be calculated as,In our system, we have taken K and 278 K for and 0.2, respectively obtained from the critical analysis of magnetization and and values are chosen corresponding to . It is reported that for materials whose is near room temperature, scaling laws at the are applicable for ΔH as high as ~10 T[54]. Thus, for our systems, one can apply scaling laws in the measured field range upto 9 T. Figure 12(c,d) present the ΔSm(T)/Δ vs curves for and 0.2, respectively for different values of ΔH. It is quite apparent that all the normalized entropy curves with various ΔH values collapse into a single curve for both the compositions. This behavior is similar to the universal ΔSm curve reported for other compounds with second order magnetic phase transition[53].From the ΔSm vs data, the relative cooling power () for each ΔH value is calculated as the product of Δ and the full width at half maxima (FWHM). Figure 12(e,f) show the plot of Δ and as a function of magnetic field in the left and right -axes, respectively for and 0.2 samples. Both the quantities are found to increase with increasing magnetic field change. At the highest measured field ΔH = 9 T, the value reaches J/kg. For the purpose of critical analysis, we have fitted these magnetic field dependent curves (Δ and ) using the following power laws[49,51,52]where, is a temperature dependent parameter and related to the critical exponents and at/near the asandThe fit of Δ data by Eq. (13) yields and 0.607 for and 0.2, respectively. They are in very good agreement with the values obtained from Eq. (14) using the and values from the MAPs and KF plots (Table 1). This proves the robustness of the critical analysis method. Similarly, the field dependent data are fitted by Eq. (15) which gives the critical exponent value and for and , respectively. These are of course very close to the values obtained from critical analysis of magnetic isotherms (see Table 1).For a more quantitative analysis of MCE, we fitted the field dependent isothermal magnetic entropy change ΔSm(H) at various temperatures across the PM-FM transition using the power law Δ[51]. The obtained exponent is plotted as a function of temperature in Fig. 13(a,b) for compositions and 0.2, respectively. Inset of Fig. 13(a,b) present ΔSm vs plots at three different temperatures: one at low temperature (), one close to critical regime (), and another at high temperature (). It can be seen that for , ΔSm exhibits almost a linear behavior with and the exponent is found to be ~0.9 for both compositions, which is close to 1. The value suggests that the term in Eq. (11) is weakly field dependent at low temperatures (). Further, with rise in temperature, decreases and arrives a minimum value of 0.604 and 0.607 at for compositions and 0.2, respectively. These values are consistent with the values obtained from the analysis of Δ vs using power law as shown Fig. 12(e,f) and also from Eq. (14) using appropriate values of and . Above , increases almost linearly and reaches a maximum value of ~1.436 and ~1.671 for compositions and 0.2, respectively at the highest measured temperature.
Figure 13
The exponent n as function of temperature obtained from the fitting of field dependent isothermal magnetic entropy change at various temperatures for (a) and (b) . Insets: field dependent isothermal magnetic entropy change ΔSm at three different temperatures, near TC. The solid lines are the fits using power law, as described in the text.
The exponent n as function of temperature obtained from the fitting of field dependent isothermal magnetic entropy change at various temperatures for (a) and (b) . Insets: field dependent isothermal magnetic entropy change ΔSm at three different temperatures, near TC. The solid lines are the fits using power law, as described in the text.The overall temperature dependence of is quite similar to that observed for other compounds showing second order magnetic phase transition[50,51]. Recently, Law et al.[49], simulated the temperature variation of using the Bean and Rodbell model and showed that one can quantitatively distinguish the first order and second order phase transitions by measuring which was also experimentally verified by them. According to them, for a second order magnetic phase transition, should exhibit a minima near and for it should increase systematically upto a maximum value of 2. Indeed, our experimental behaviour for both the compositions matches well with the above predictions, confirming the second order nature of the magnetic phase transition.
Summary
We have done a detailed investigation of the PM-FM phase transition in Mn1+Fe4−Si3 series. A careful magnetization measurement on the parent compound rules out the presence of thermal hysteresis, establishing the second order nature of the transition. This is in contrast with the previous reports[32]. This PM-FM transition is found to be tuned from ~328 K to ~212 K by Mn substitution at the Fe site upto . We did not observe any signature of Landau tricritical point as predicted earlier for the parent compound[34]. Though, our temperature dependent powder XRD for reveals no structural transition down to 15 K but the temperature variation of lattice parameters point towards a lattice distortion across the magnetic transition ( K), similar to the parent compound[32]. This indicates that the structural degree of freedom is weakly coupled with the spin degree of freedom in this series.A detailed critical analysis of the magnetization data across the transition is carried out for two compositions and 0.2. The critical exponents are estimated to be ( and from MAPs and from critical isotherm) and ( and from MAPs and from critical isotherm) for and 0.2, respectively. These values are further confirmed from various analysis methods and Widom scaling relations indicating the robustness of critical analysis technique. The obtained critical exponents do not fall in any of the existing standard universality class and are similar to that observed for Cr75Fe25 and Cr70Fe30[40]. However, the similar values of critical exponents for both parent and doped compounds indicates that the universality class of the compound does not change and the spin-spin interaction mechanism remains unaltered upon Mn substitution. The effective critical exponents ( and ) seem to approach the actual experimental values in the asymptotic regime (). The reliability of the critical exponents and the value of are further confirmed from the scaling of magnetization, where all magnetic isotherms fall into two separate branches: one above and another below the . Furthermore, these critical exponents are identical to the ones obtained from the renormalization group theory calculation for , , and , which indicates long-range interactions between magnetic spins and it decays following .A reasonably large and negative MCE is inferred for the parent compound across the magnetic transition from the calculation of ΔSm vs . Upon Mn substitution at the Fe site, the magnitude of ΔSm at the peak position is reduced slightly which is likely due to the reduction in magnetic moment. On the other hand, the value of ΔSm at the peak position is found to be enhanced continuously with magnetic field, for both the compounds. The maximum estimated value of ΔSm is found to be −6.67 J/Kg-K and −5.84 J/Kg-K in a field change of 9 T for and 0.2, respectively. Interestingly, a large and same value of (~707 J/Kg) was found for both the compositions in a field change of 9 T. The universal scaling of MCE shows that the ΔSm(T) curves for different ΔH values collapse on the master curve for both the compositions. The obtained critical exponents ( and ) from the critical analysis of field dependent ΔSm and are in good agreement with the other analysis results. The second order character of PM-FM transition, MCE, and in the parent compound are also consistent with the recent Monte-Carlo studies[55]. Thus, the tunability of the PM-FM transition with Mn substitution and its reversible character make MnFe4Si3 a potential candidate for magnetic refrigeration application.
Authors: Oliver Gutfleisch; Matthew A Willard; Ekkes Brück; Christina H Chen; S G Sankar; J Ping Liu Journal: Adv Mater Date: 2010-12-15 Impact factor: 30.849
Authors: Jia Yan Law; Victorino Franco; Luis Miguel Moreno-Ramírez; Alejandro Conde; Dmitriy Y Karpenkov; Iliya Radulov; Konstantin P Skokov; Oliver Gutfleisch Journal: Nat Commun Date: 2018-07-11 Impact factor: 14.919