Effect of A-site-substitution on structural, magnetic and magnetocaloric properties in La0.7Sr0.3 Mn0.9Cu0.1O3 manganite

Bouzaiene, E.; Dhahri, Ah.; Dhahri, J.; Hlil, E.K.; Bajahzar, Abdullah

doi:10.1016/j.jmmm.2019.165540

Cited by 22 publications

(10 citation statements)

References 52 publications

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“…The RCP for all samples at 5 T are 254, 219, 249, 301, and 173 J/kg for LKBS-0, LKBS-05, LKBS-10, LKBS-15, and LKBS-20, respectively. The large value of RCP obtained for all samples can also serve as a proof for the existence of second-order phase transition nature in the samples [61]. The obtained −∆S M and RCP value for all samples, as well as the values of other substituted LMO-based compounds are summarized in Table 4.…”

Section: It Is Clear That the −∆ ( mentioning

confidence: 75%

“…It can be noticed that the largest −∆S M value for all samples occurred around the T C of each corresponding sample. The broad −∆S M curves of all samples suggest that each sample exhibits a second-order phase transition nature [61]. The maximum values of the magnetic entropy changes at 5 T (−∆S M, MAX ) were 4.21, 4.96, 5.18, 4.83, and 3.90 J/kg K for LKBS-0, LKBS-05, LKBS-10, LKBS-15, and LKBS-20, respectively.…”

Section: Magnetocaloric Effect (Mce)mentioning

confidence: 93%

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Role of Potassium Substitution in the Magnetic Properties and Magnetocaloric Effect in La0.8−xKxBa0.05Sr0.15MnO3 (0 ≤ x ≤ 0.20)

et al. 2020

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The magnetic and magnetocaloric effects of potassium-substituted La0.8−xKxBa0.05Sr0.15MnO3 (0 ≤ x ≤ 0.20) manganite were explored. The samples in polycrystalline form were synthesized by the sol–gel method, with a final sintering temperature of 1100 °C. Powder X-ray diffraction (XRD) patterns refined by Rietveld refinement show that all samples crystallized in rhombohedral structure with R-3c space group. The unit cell volume of the samples decreases with increasing potassium concentration. In addition, small changes in average bond length and bond angle are also observed in the samples. Scanning electron microscope (SEM) images reveal that the largest average grain size was observed for x = 0.10. Field-cooled (FC) magnetization measurements show that the Curie temperature ( T C ) of the samples increases from 320 K for x = 0 to 360 K for x = 0.2. The largest magnetocaloric (MCE) effect, which is represented by maximum magnetic entropy change (− Δ S M , M A X ), reaches its greatest value for the x = 0.10 sample. The monotonous increase in T C suggests that TC is mainly governed by the ferromagnetic coupling between Mn ions induced by the changes on average bond length and bond angle. The obtained − Δ S M , M A X value suggests that MCE property is more sensitive to Zener theory of double exchange, which is strongly related to the Mn3+/Mn4+ ratio of the samples.

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Section: It Is Clear That the −∆ ( mentioning

confidence: 75%

Section: Magnetocaloric Effect (Mce)mentioning

confidence: 93%

Role of Potassium Substitution in the Magnetic Properties and Magnetocaloric Effect in La0.8−xKxBa0.05Sr0.15MnO3 (0 ≤ x ≤ 0.20)

et al. 2020

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“…W can be obtained with the empirical formula [24]: W ≈ cos (ω) /d 3.5 (Mn,Cu)-O , with ω = 0.5 ( π − θ (Mn,Cu)-O1-Mn ) . Weakening of the overlap between the orbital O 2p and Mn 3d by reducing W, in turn, decreases the DE interaction and, consequently, T C [5,6] (table 3).…”

Section: Magnetic Propertiesmentioning

confidence: 99%

“…Some of the most interesting effects observed are the inhomogeneities in the magnetic phases and the coexistence of phases. Therefore, studies of the magnetic properties of La 1−x A x Mn 1−y B y O 3 manganites by doping at the A sites with alkaline ions [5] and B sites with transition metals [6][7][8], have contributed to understanding the already mentioned correlations for T > T C . Some of these doped manganites show short-range local FM structures above T C [9,10], analogous to the randomly diluted Ising ferromagnets described by [11].…”

Section: Introductionmentioning

confidence: 99%

Short-range magnetic behavior in manganites La_0.93K_0.07Mn_1- _x Cu _x O₃ (0.0 ⩽ x ⩽ 0.09) above the Curie temperature

Khammassi¹,

López²,

Chérif³

et al. 2021

J. Phys. D: Appl. Phys.

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Manganites La0.93K0.07Mn1−x Cu x O3 ( 0.0 ⩽ x ⩽ 0.09 ) , prepared by the solid state reaction method at high temperature, were studied structurally and magnetically. The unit cell parameters, as well as bond length d ( Mn,Cu)-O Å and the bond angle θ ( Mn,Cu)- O 1 -Mn , were determined from the Rietveld refinement of the x-ray diffraction patterns. The Fourier-transform infrared spectroscopy analysis shows that Cu2+ substitution induces variations in the vibration modes of the MnO6 octahedra. Magnetization vs. temperature M T at low magnetic field H=0 .01T were performed in the range

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“…12–17 In metallurgical alloy design especially, it is of great interest in searching for elemental substitutions and/or additions that may refine metal alloy composition and enhance critical properties. 18–23 Thus, data-driven approaches, including the first-principle thermodynamics framework, linear regression, and neural networking modeling, have been used to explore the possibility of predicting M s based on alloying elements in steels. 24–27 Some of these modeling results are satisfactory as long as they are used within certain compositional boundaries or applied to a specific category of steels.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Steel Ms Temperature

Zhang

2021

SIMULATION

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Empirical equations, thermodynamics frameworks, and neural network modeling have been developed to predict steel martensite start temperature, [Formula: see text], but they might not tend to generalize well when composition includes a wide range of alloying elements. In this study, we develop the Gaussian process regression (GPR) model to shed light on the relationship between alloying elements and [Formula: see text] temperature for steels. A total of 1119 steels with [Formula: see text] ranging from 153 K to 938 K are examined. The model has a high degree of accuracy and stability, contributing to fast low-cost [Formula: see text] temperature estimations.

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Effect of A-site-substitution on structural, magnetic and magnetocaloric properties in La0.7Sr0.3 Mn0.9Cu0.1O3 manganite

Cited by 22 publications

References 52 publications

Role of Potassium Substitution in the Magnetic Properties and Magnetocaloric Effect in La0.8−xKxBa0.05Sr0.15MnO3 (0 ≤ x ≤ 0.20)

Role of Potassium Substitution in the Magnetic Properties and Magnetocaloric Effect in La0.8−xKxBa0.05Sr0.15MnO3 (0 ≤ x ≤ 0.20)

Short-range magnetic behavior in manganites La_0.93K_0.07Mn_1- _x Cu _x O₃ (0.0 ⩽ x ⩽ 0.09) above the Curie temperature

Machine Learning Steel Ms Temperature

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Effect of A-site-substitution on structural, magnetic and magnetocaloric properties in La0.7Sr0.3 Mn0.9Cu0.1O3 manganite

Cited by 22 publications

References 52 publications

Role of Potassium Substitution in the Magnetic Properties and Magnetocaloric Effect in La0.8−xKxBa0.05Sr0.15MnO3 (0 ≤ x ≤ 0.20)

Role of Potassium Substitution in the Magnetic Properties and Magnetocaloric Effect in La0.8−xKxBa0.05Sr0.15MnO3 (0 ≤ x ≤ 0.20)

Short-range magnetic behavior in manganites La0.93K0.07Mn1- x Cu x O3 (0.0 ⩽ x ⩽ 0.09) above the Curie temperature

Machine Learning Steel Ms Temperature

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Short-range magnetic behavior in manganites La_0.93K_0.07Mn_1- _x Cu _x O₃ (0.0 ⩽ x ⩽ 0.09) above the Curie temperature