Review on Magnetocaloric Effect and Materials

Ram, N. Raghu; Prakash, Muthuramalingam; Naresh, U.; Kumar, N. Suresh; Sarmash, T. Sofi; Subbarao, T.; Kumar, Rajesh; Kumar, Gulshan; Naidu, K. Chandra Babu

doi:10.1007/s10948-018-4666-z

Cited by 157 publications

(67 citation statements)

References 62 publications

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“…It is a known fact that most of the ceramic titanate materials contain the cubic perovskite structure with a general chemical formula ABO 3, where 'A' atom is located at the corner position, 'B' atom occupies the body centre position and the oxygen atom prefers at the face centre position of the cubic unit cell [1][2][3][4][5][6][7][8][9][10]. In general, the barium titanate (BT) is a promising dielectric material exhibiting very attractive and tremendous applications caused due to the low particle size [11].…”

Section: Introductionmentioning

confidence: 99%

Optical and functional properties of hydrothermally synthesized tetragonal Ba_0.4Cu_0.6−xLa_xTiO₃ (x = 0.2–0.6) nanoparticles

Prakash

Kumar

Naidu

2020

Mater. Res. Express

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Ba 0.4 Cu 0.6−x La x TiO 3 (x=0.2, 0.4 & 0.6) (BCLT) nanoparticles were prepared by hydrothermal method. The x-ray diffraction (XRD) pattern established the existence of tetragonal phases. The nanospheres were observed in the surface morphology of present materials using the transmission electron microscopy (TEM). The optical properties were investigated to confirm the presence of metal oxide bonds as well as the optical band-gap energy of BCLT nanoparticles. The dielectric and impedance parameters were studied as a function of frequency and composition. The Cole-Cole plots were drawn to understand the microstructure and electrical conduction mechanism. In addition, the ferroelectric nature was carried out with the help of polarization versus electric field (P-E) loop tracer. Materials and methodsBa 0.4 Cu 0.6−x La x TiO 3 (x=0.2, 0.4, & 0.6) nanoparticles were synthesized via hydrothermal technique. The flow chart for the preparation of BCLT samples was depicted in figure 1. The starting raw materials of Ba (NO 3 ) 2 .6H 2 O

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Section: Introductionmentioning

confidence: 99%

Optical and functional properties of hydrothermally synthesized tetragonal Ba_0.4Cu_0.6−xLa_xTiO₃ (x = 0.2–0.6) nanoparticles

Prakash

Kumar

Naidu

2020

Mater. Res. Express

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“…One of the promising technologies, that enable cooling with higher environmental and economic efficiency is technology based on the magnetocaloric effect (MCE). This technique is more advantageous than conventional gas compression (vapor-cycling technologies) 1,2 . MCE is 20–50% more efficient, than conventional gas compression 3 .…”

Section: Introductionmentioning

confidence: 99%

Large and tunable magnetocaloric effect in gadolinium-organic framework: tuning by solvent exchange

Zeleňák

Almáši

Zeleňáková

et al. 2019

Sci Rep

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Magnetic properties of three variants of MOF-76(Gd), {[Gd(BTC)(H2O)]·G}n (BTC = benzene-1,3,5-tricarboxylate, G = guest molecules) were investigated by static susceptibility, isothermal magnetization and specific heat capacity measurements. In the study we used as synthesized MOF-76(Gd)-DMF (1) (G = DMF = dimethylformamide), containing DMF molecules in the cavity system, compound MOF-76(Gd) (2), activated complex without solvents in the cavities and water exchanged sample MOF-76(Gd)-H2O (3). A pronounced change in the magnetic entropy was found near the critical temperature for all three compounds. It was shown, that magnetic entropy change depends on the solvatation of the MOF. The highest value entropy change, ΔSMpk(T) was observed for compound 2 (ΔSMpk(T) = 42 J kg−1 K−1 at 1.8 K for ΔH = 5 T). The ΔSMpk(T) for the compounds 1, 2 and 3 reached 81.8, 88.4 and 100% of the theoretical values, respectively. This suggests that in compound 3 Gd3+···Gd3+ antiferromagnetic interactions are decoupled gradually, and higher fields promote a larger decoupling between the individual spin centers. The observed entropy changes of compounds were comparable with other magnetic refrigerants proposed for low-temperature applications. To study the magnetothermal effect of 2 (the sample with largest −ΔSMpk), the temperature-dependent heat capacities (C) at different fields were measured. The value of magnetic entropy S obtained from heat capacities (39.5 J kg−1 K−1 at 1.8 K for an applied magnetic field change of 5 T) was in good agreement with that derived from the magnetization data (42 J kg−1 K−1 at 1.8 K).

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“…For example, the phase space of magnetic and superconducting materials is highly influential on the possible device applications. For magnetic materials, the Curie and Néel temperatures, which denote the points at which a material transitions to a ferromagnetic or antiferromagnetic state, respectively, are important properties for solid-state refrigerants 14 , generators and spintronic or data-storage devices 15 . Similarly, in the domain of superconductivity, experimental research has been dedicated to the discovery of near-room-temperature superconductors that would have applications in magnetometers, digital circuits, photon detection and power conversion 16 .…”

Section: Introductionmentioning

confidence: 99%

Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning

Court

Cole

2020

npj Comput Mater

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Predicting the properties of materials prior to their synthesis is of great importance in materials science. Magnetic and superconducting materials exhibit a number of unique properties that make them useful in a wide variety of applications, including solid oxide fuel cells, solid-state refrigerants, photon detectors and metrology devices. In all these applications, phase transitions play an important role in determining the feasibility of the materials in question. Here, we present a pipeline for fully integrating data extracted from the scientific literature into machine-learning tools for property prediction and materials discovery. Using advanced natural language processing (NLP) and machine-learning techniques, we successfully reconstruct the phase diagrams of well-known magnetic and superconducting compounds, and demonstrate that it is possible to predict the phase-transition temperatures of compounds not present in the database. We provide the tool as an online open-source platform, forming the basis for further research into magnetic and superconducting materials discovery for potential device applications.npj Computational Materials (2020) 6:18 ; https://doi.

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Review on Magnetocaloric Effect and Materials

Cited by 157 publications

References 62 publications

Optical and functional properties of hydrothermally synthesized tetragonal Ba_0.4Cu_0.6−xLa_xTiO₃ (x = 0.2–0.6) nanoparticles

Optical and functional properties of hydrothermally synthesized tetragonal Ba_0.4Cu_0.6−xLa_xTiO₃ (x = 0.2–0.6) nanoparticles

Large and tunable magnetocaloric effect in gadolinium-organic framework: tuning by solvent exchange

Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning

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Review on Magnetocaloric Effect and Materials

Cited by 157 publications

References 62 publications

Optical and functional properties of hydrothermally synthesized tetragonal Ba0.4Cu0.6−xLaxTiO3 (x = 0.2–0.6) nanoparticles

Optical and functional properties of hydrothermally synthesized tetragonal Ba0.4Cu0.6−xLaxTiO3 (x = 0.2–0.6) nanoparticles

Large and tunable magnetocaloric effect in gadolinium-organic framework: tuning by solvent exchange

Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning

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Product

Resources

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Optical and functional properties of hydrothermally synthesized tetragonal Ba_0.4Cu_0.6−xLa_xTiO₃ (x = 0.2–0.6) nanoparticles

Optical and functional properties of hydrothermally synthesized tetragonal Ba_0.4Cu_0.6−xLa_xTiO₃ (x = 0.2–0.6) nanoparticles