sublattice model
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2021 ◽  
Vol 520 ◽  
pp. 167470
Author(s):  
Gabriel Gomez Eslava ◽  
Bahar Fayyazi ◽  
Konstantin Skokov ◽  
Yurii Skourski ◽  
Denis Gorbunov ◽  
...  




2020 ◽  
Vol 56 (2) ◽  
pp. 183-191
Author(s):  
T. Fu ◽  
Y. Du ◽  
Z.-S. Zheng ◽  
Y.-B. Peng ◽  
B. Jin ◽  
...  

In the literature, no detailed description is reported about how to detect if a miscibility gap exists in terms of interaction parameters analytically. In this work, a method to determine the likelihood of the presence of a miscibility gap in a binary substitutional solution phase is proposed in terms of interaction parameters. The range of the last interaction parameter along with the former parameters is analyzed for a set of self-consistent parameters associated with the miscibility gap in assessment process. Furthermore, we deduce the first and second derivatives of Gibbs energy with respect to composition for a phase described with a sublattice model in a binary system. The Al-Zn and Al-In phase diagrams are computed by using a home-made code to verify the efficiency of these techniques. The method to detect the miscibility gap in terms of interaction parameters can be generalized to sublattice models. At last, a system of equations is developed to efficiently compute the Gibbs energy curve of a phase described with a sublattice model.



Calphad ◽  
2019 ◽  
Vol 67 ◽  
pp. 101685 ◽  
Author(s):  
Jean-Marc Joubert ◽  
Jean-Claude Crivello


Rare Metals ◽  
2019 ◽  
Author(s):  
Feng Lu ◽  
Shuo Xu ◽  
Li-hua Wang


Data in Brief ◽  
2018 ◽  
Vol 20 ◽  
pp. 1018-1022 ◽  
Author(s):  
Arash Hosseinzadeh Delandar ◽  
Oleg I. Gorbatov ◽  
Malin Selleby ◽  
Yuri N. Gornostyrev ◽  
Pavel A. Korzhavyi


Calphad ◽  
2018 ◽  
Vol 60 ◽  
pp. 16-28 ◽  
Author(s):  
Aurélie Jacob ◽  
Erwin Povoden-Karadeniz ◽  
Ernst Kozeschnik


2018 ◽  
Vol 1 (1) ◽  
pp. 102-113
Author(s):  
Raghda Abu El-Nasr ◽  
Samy H. Aly ◽  
Sherif Yehia ◽  
Hala A. Sobh

We present a mean-field study on the magnetocaloric effect (MCE) in RFe10X2, where X=Mo, V, and R=Gd, Tb, Ho, Tm, Dy, Er, Nd for X=V. For X=Mo, R=Dy, Gd, and Nd. The two-sublattice model, involving the 4f (rare earth) and 3d(Fe) sublattices, is used. For both systems, magnetization, magnetic heat capacity, magnetic entropy and isothermal entropy change ∆Sm are calculated for different magnetic fields in the 0-5T range and the temperature range from 0 to 700K. Direct and inverse MCEs are shown to take place in these ferromagnetic/ferrimagnetic compounds. For a field change ∆H=5T, the maximum isothermal magnetic entropy change has been calculated for ferromagnetic NdFe10Mo2 compound to be 6.6 J/K mol at Tc=441 K. Both direct, and inverse MCEs have been found in ferrimagnetic compounds, e.g., for TmFe10V2, with maximum -∆Sm= J/K mol at Tc=521K and ∆Sm=  J/K mol at TN=127 K. Mean-field analysis is suitable for handling the systems we report on. Further study on the lattice and electronic contribution to entropy is planned.



2018 ◽  
Vol 115 (5) ◽  
pp. 503 ◽  
Author(s):  
Mohamed Idbenali ◽  
Colette Servant ◽  
M’barek Feddaoui

The Hf–Ir system has been thermodynamically modeled by the CALPHAD approach. Hf2Ir, αHfIr, βHfIr, γHfIr (high temperature phase) and HfIr3 which have a homogeneity range, were treated as the formula (Hf,Ir)x:(Ir,Hf)1−x by a two-sublattice model with a mutual substitution of Hf and Ir in both sublattices.Hf5Ir3 has been treated as a stoichiometric compound while a solution model has been used for the description of the FCC (Ir) solid solution. Additionally, two different models describing the excess Gibbs energy for the liquid and for the solid solutions (BCC, FCC and HCP) were used and their predictions are compared. The calculations based on the thermodynamic modeling are in good agreement with the phase diagram data and experimental thermodynamic values available in the literature.



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