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The magnetic properties of a material are determined by a subtle balance between the various interactions at play, a fact that makes the design of new magnets a daunting task. High-throughput electronic structure theory may help to explore…

Materials Science · Physics 2019-10-16 James Nelson , Stefano Sanvito

The ferroelectric to paraelectric phase transition in LiTaO$_3$ and in pure as well as Mg doped LiNbO$_3$ is investigated theoretically by atomistic calculations in the framework of the density functional theory, as well as experimentally…

Molecular ferroelectrics have captured immense attention due to their superiority over inorganic oxide ferroelectrics, such as environmentally friendly, low-cost, flexible, foldable. However, the mechanisms of ferroelectric switching and…

Chemical Physics · Physics 2021-06-18 Xiaoqing Zhu , Wenbin Fan , Wei Ren , Yongle Li

The accurate description of the structural and thermodynamic properties of ferroelectrics has been one of the most remarkable achievements of Density Functional Theory (DFT). However, running large simulation cells with DFT is…

Materials Science · Physics 2024-06-14 Lorenzo Gigli , Alexander Goscinski , Michele Ceriotti , Gareth A. Tribello

Theoretical prediction of Curie temperature (TC) is of vital importance for designing the spintronic devices in two-dimensional (2D) ferromagnetic materials. Herein, based on the extensive investigation of Monte Carlo simulations, we…

Materials Science · Physics 2022-09-13 Yufei Xue , Zhong Shen , Zebin Wu , Changsheng Song

Simulating finite temperature phase transitions from first-principles is computationally challenging. Recently, molecular dynamics (MD) simulations using machine-learned force fields (MLFFs) have opened a new avenue for finite-temperature…

The prospects of half-metallic ferromagnetism being induced by the incorporation of C atoms into alkaline-earth-metal-oxides are investigated by the first principle calculation. The origin of the ferromagnetism is discussed through the…

Materials Science · Physics 2008-01-16 Van An Dinh , Masayuki Toyoda , Kazunori Sato , Hiroshi Katayama-Yoshida

A semiclassical approach that incorporates quantum mechanical behavior of heat capacity in direct caloric effect simulations is proposed. Application of this methodology to study electrocaloric effect in prototypical ferroelectrics ${ \rm…

Computational Physics · Physics 2017-12-27 P. Jouzdani , S. Cuozzo , S. Lisenkov , I. Ponomareva

We solve the Landau-Lifshitz-Gilbert equation in the finite-temperature regime, where thermal fluctuations are modeled by a random magnetic field whose variance is proportional to the temperature. By rescaling the temperature proportionally…

Mesoscale and Nanoscale Physics · Physics 2024-04-26 Clémentine Courtès , Matthieu Boileau , Raphaël Côte , Paul-Antoine Hervieux , Giovanni Manfredi

We develop a technique for predicting the Curie temperature of magnetic materials using density functional theory calculations suitable to include in high-throughput frameworks. We apply four different models, including physically relevant…

Self - consistent temperature dependence of the average magnetization in quantum Heisenberg ferromagnet is obtained as a first approximation of perturbation theory on an inverse radius by application of the functional method for quantum…

Condensed Matter · Physics 2007-05-23 E. V. Podivilov

We report modifications of the ferroelectric and electrocaloric properties of BaTiO$_3$ by defects. For this purpose, we have combined \textit{ab initio}-based molecular dynamics simulations with a simple model for defects. We find that…

Materials Science · Physics 2016-10-03 Anna Grünebohm , Takeshi Nishimatsu

In this work we investigate Ising and classical Heisenberg models for two and three dimensional lattices in presence of diluted ferromagnetic dimers. For such models the Curie temperature as a function of ratio of intra-dimer exchange…

Strongly Correlated Electrons · Physics 2010-08-20 M. V. Medvedev , I. A. Nekrasov

Prediction of the Curie temperature is of significant importance for the design of ferromagnetic materials. Even though the Curie temperature has been estimated using the Heisenberg model, magnetic exchange coupling parameters widely used…

Materials Science · Physics 2020-12-08 Tomonori Tanaka , Yoshihiro Gohda

Mean-field-theory predicts that the Curie temperature T_c of a (III,Mn)V ferromagnet will be proportional to the valence band density-of-states of its host (III,V) semiconductor, suggesting a route toward room-temperature ferromagnetism in…

Condensed Matter · Physics 2009-10-31 John Schliemann , Jürgen König , Hsiu-Hau Lin , Allan H. MacDonald

Although the melting temperature, $T_{m}$, of a solid can be calculated based on first-principles molecular dynamics (FP-MD) simulations, systematic assessments of the accuracy of the resulting values have not yet been reported. FP-MD…

Materials Science · Physics 2024-12-10 Koun Shirai , Hiroyoshi Momida , Kazunori Sato , Sangil Hyun

In this paper, the Curie temperature of ferroelectric films is studied using spin-1/2 transverse Ising model with long-range interaction within the framework of the effective-field theory. The dependence of the Curie temperature on the…

Materials Science · Physics 2015-06-24 Dong-Lai Yao , Yin-Zhong Wu , Zhen-Ya Li

We explain the phenomena of ferroelectric phase transition temperature $T_c$ enhancement beyond the end members in perovskite solid solutions like BiMeO$_3$-PbTiO$_3$ (Me=Sc, In, etc.) is related to nonlinear and spatial correlation…

Materials Science · Physics 2009-11-10 V. A. Stephanovich , M. D. Glinchuk , C. A. Randall

The paper contains an application of lattice model to ferroelectric solid solutions. Short-range parts of interatomic potentials are taken into account by means the lattice structure introduction. Long-range parts are considered in…

Materials Science · Physics 2015-03-17 A. Yu. Zakharov , M. I. Bichurin , S. Priya

The Curie temperature ($T_C$) of binary alloy compounds consisting of 3$d$ transition-metal and 4$f$ rare-earth elements is analyzed by a machine learning technique. We first demonstrate that nonlinear regression can accurately reproduce…

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