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Using first-principles calculations based on a variational density functional perturbation theory, we investigate the lattice dynamics of solid solutions of barium and strontium titanates. Averaging the information available for the related…

Materials Science · Physics 2009-10-31 Ph. Ghosez , D. Desquesnes , X. Gonze , K. M. Rabe

We demonstrate that the melting points and other thermodynamic quantities of the alkali metals can be calculated based on static crystalline properties. To do this we derive analytic interatomic potentials for the alkali metals fitted…

Materials Science · Physics 2016-06-02 Alan Nichol , Graeme J. Ackland

The evaluation of phase stabilities of unstable elemental phases is a long-standing problem in the computational assessment of phase diagrams. Here we tackle this problem by explicitly calculating phase diagrams of intermetallic systems…

Materials Science · Physics 2016-09-20 Shmuel Barzilai , Cormac Toher , Stefano Curtarolo , Ohad Levy

Electronic, structural and thermodynamic properties of the equiatomic alloy TiZr are calculated within the electron density functional theory and the Debye-Gruneisen model. The calculated values of the lattice parameters a and c/a agree…

Materials Science · Physics 2015-05-14 V. Yu. Trubitsin , E. B. Dolgusheva

When exploring new magnetic materials, the effect of alloying plays a crucial role for numerous properties. By altering the alloy composition, it is possible to tailor, e.g., the Curie temperature ($T_\text{C}$). In this work, $T_\text{C}$…

Materials Science · Physics 2024-12-19 Marian Arale Brännvall , Rickard Armiento , Björn Alling

The structural, electronic, mechanical and thermal properties of Ir$_{1-x}$Rh$_{x}$ alloys were studied systematically using ab initio density functional theory at different concentrations (x = 0.00, 0.25, 0.50, 0.75, 1.00). A Special…

Materials Science · Physics 2015-06-15 S. Ahmed , M. Zafar , M. Shakil , M. A. Choudhary

Ab initio detailed calculations of the elastic properties of AgCl_{x}Br_{1-x} alloys recently appeared using density-functional perturbation theory and employing the virtual crystal approximation or by means of the full potential linearized…

Materials Science · Physics 2017-02-01 V. Katsika-Tsigourakou , E. S. Skordas

In this work we revisit vast amount of existing data on physical properties of Ti-Zr-Nb-(Cu,Ni,Co) glassy alloys over a broad range of concentrations (from the high entropy range to that of conventional Cu-, Ni- or Co-rich alloys). By using…

Variations with oxygen concentration of titanium lattice parameters are obtained by means of ab initio calculations, considering the impact of oxygen ordering. The quasiharmonic approximation is used to take into account the thermal…

Ruthenium-based B2 intermetallics are promising for refractory superalloys but are limited by the trade-off between high thermodynamic stability and elastic precipitation strain. We present a physics-guided machine learning framework…

Materials Science · Physics 2026-01-06 Avik Mahata

In the present work we have proposed the method that allows one to easily estimate hardness and bulk modulus of known or hypothetical solid phases from the data on Gibbs energy of atomization of the elements and corresponding covalent…

Materials Science · Physics 2011-02-08 Vladimir A. Mukhanov , Oleksandr O. Kurakevych , Vladimir L. Solozhenko

Available information concerning the elastic moduli of refractory carbides at temperatures (T) of relevance for practical applications is sparse and/or inconsistent. We carry out ab initio molecular dynamics (AIMD) simulations at T = 300,…

Materials Science · Physics 2021-03-09 D. G. Sangiovanni , F. Tasnádi , T. Harrington , K. S. Vecchio , I. A. Abrikosov

Designing new, technologically relevant superconductors has long been at the forefront of solid-state physics and chemistry research. However, developing efficient approaches for modeling the thermodynamics of superconducting alloys while…

We applied an efficient methodology to separate vibrational and configurational entropies in bulk metallic glasses by means of molecular dynamics simulation based on a combination of non-equilibrium adiabatic switching and reversible…

Soft Condensed Matter · Physics 2020-07-03 René Alvarez-Donado , Alex Antonelli

The enthalpy of mixing in the liquid phase is an important property for predicting phase formation in alloys. It can be estimated in a large compositional space from pair wise interactions between elements, for which machine learning has…

Materials Science · Physics 2026-02-10 Quentin Bizot , Ryo Tamura , Guillaume Deffrennes

The theory of statistical-mechanical lattice-gas modeling of adsorption is reviewed and shown to be applicable to a range of electrochemical problems dominated by effective, lateral adsorbate--adsorbate interactions. A general strategy for…

Condensed Matter · Physics 2007-05-23 P. A. Rikvold , J. Zhang , Y. -E. Sung , A. Wieckowski

Ab-initio calculations for the structural properties of Zr-Nb alloys at different values of the niobium concentration are done at zero temperature. Different cases for Zr-Nb alloys with unit cells having BCC and HCP structures are…

Materials Science · Physics 2013-03-25 Vasyl O. Kharchenko , Dmitrii O. Kharchenko

Alloys expand or contract as concentrations change, and the resulting relationship between atomic volume and alloy content is an important property of the solid. While a well-known approximation posits that the atomic volume varies linearly…

Materials Science · Physics 2020-04-28 A. Landa , J. E. Klepeis , R. E. Rudd , K. J. Caspersen , D. A. Young

We introduce a simplified method to model the interatomic interactions of high entropy alloys based on a lookup table of cluster energies. These interactions are employed in replica exchange Monte Carlo simulations with histogram analysis…

Materials Science · Physics 2022-12-06 Andrew D. Kim , Michael Widom

This study presents a machine learning approach to predict the Curie temperature in binary alloys, specifically focusing on the Fe-Pt, Fe-Ni, Fe-Pd, and Co-Pt compounds within a concentration range of 10 to 90 atomic percent. The optimal…

Materials Science · Physics 2025-09-23 Svitlana Ponomarova , Oleksandr Ponomarov , Yurii Koval