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The measured magnetization dynamics of ferromagnetic iron--cobalt Fe$_{1-x}$Co$_x$ alloys show a strong dependence on the alloy composition, especially near $x=0.25$. Here, we calculate from first principles the electron-phonon coupling…

Materials Science · Physics 2024-10-21 Kevin Moseni , Richard B Wilson , Sinisa Coh

In recent years, efficient inter-atomic potentials approaching the accuracy of density functional theory (DFT) calculations have been developed using rigorous atomic descriptors satisfying strict invariances, for example, to translation,…

Materials Science · Physics 2018-09-18 Xiang-Guo Li , Chongze Hu , Chi Chen , Zhi Deng , Jian Luo , Shyue Ping Ong

Machine learning potentials (MLPs) developed from extensive datasets constructed from density functional theory (DFT) calculations have become increasingly appealing for many researchers. This paper presents a framework of polynomial-based…

Materials Science · Physics 2022-09-29 Atsuto Seko

A new scheme for constructing approximate effective electron potentials within density-functional theory is proposed. The scheme consists of calculating the effective potential for a series of reference systems, and then using these…

Condensed Matter · Physics 2016-08-14 K. Stokbro , N. Chetty , K. W. Jacobsen , J. K. Nørskov

We incorporate realistic pair potential energies directly into a non-linear least-square fit of diffraction data to quantitatively compare structure models with experiment for the Ni-rich $d$(AlNiCo) quasicrystal. The initial structure…

Materials Science · Physics 2009-11-10 M. Mihalkovič , C. L. Henley , M. Widom

de Haas-van Alphen oscillation spectrum is studied for an idealized two-dimensional Fermi liquid with two parabolic bands in the case of canonical (fixed number of quasiparticles) and grand canonical (fixed chemical potential) ensembles. As…

Statistical Mechanics · Physics 2009-11-10 J. -Y. Fortin , E. Perez , A. Audouard

In this work, we propose a linear machine learning force matching approach that can directly extract pair atomic interactions from ab initio calculations in amorphous structures. The local feature representation is specifically chosen to…

Materials Science · Physics 2023-09-11 Zheng Yu , Ajay Annamareddy , Dane Morgan , Bu Wang

Spectral distribution functions of electron-phonon interaction $\alpha^2F(\omega )$ obtained by ab initio linear--response calculations are used to describe various superconducting and transport properties in a number of elemental metals…

Condensed Matter · Physics 2009-10-28 S. Y. Savrasov , D. Y. Savrasov

Despite the increasing importance of hafnium in numerous technological applications, experimental and computational data on its binary alloys is sparse. In particular, data is scant on those binary systems believed to be phase separating.…

Materials Science · Physics 2009-07-30 Ohad Levy , Gus L. W. Hart , Stefano Curtarolo

The elastic and magnetic properties, thermodynamical stability, deviation from stoichiometry and order/disorder transformations of phases that are relevant to Be alloys were investigated using density functional theory simulations coupled…

Materials Science · Physics 2015-04-01 Patrick A. Burr , Simon C. Middleburgh , Robin W. Grimes

Many different types of phases can form within alloys, from highly-ordered intermetallic compounds, to structurally-ordered but chemically-disordered solid solutions, and structurally-disordered (i.e. amorphous) metallic glasses. The…

Materials Science · Physics 2023-10-26 Cormac Toher , Stefano Curtarolo

Metallic glasses are excellent candidates for biomedical implant applications due to their inherent strength and corrosion resistance. Use of metallic glasses in structural applications is limited, however, because bulk dimensions are…

Materials Science · Physics 2019-02-04 Denise C. Ford , David Hicks , Corey Oses , Cormac Toher , Stefano Curtarolo

Charge density and magnetization density profiles of one-dimensional metals are investigated by two complementary many-body methods: numerically exact (Lanczos) diagonalization, and the Bethe-Ansatz local-density approximation with and…

Strongly Correlated Electrons · Physics 2009-11-13 Daniel Vieira , Henrique J. P. Freire , V. L. Campo , K. Capelle

Ab-initio crystal structure prediction depends on accurate calculation of the energies of competing structures. Many DFT codes are available that utilize different approaches to solve the Kohn-Sham equation. We evaluate the consistency of…

Materials Science · Physics 2022-10-20 Vishnu Raghuraman , Yang Wang , Michael Widom

The interactions between elementary excitations such as phonons, plasmons, magnons, or particle-hole pairs, drive emergent functionalities and electronic instabilities such as multiferroic behaviour, anomalous thermoelectric properties,…

The exponentially strong damping of the conventional Friedel oscillations at elevated temperature T as well as due to disorder poses a severe problem to the Hume-Rothery (HR) stabilization mechanism of amorphous and quasicrystalline alloys.…

Strongly Correlated Electrons · Physics 2008-02-03 Johann Kroha

The valence states of Mg-Al alloys are compared to those of reference materials (pure Mg and Al metals, and intermetallics). Two methods based on X-ray emission spectroscopy are proposed to determine the phases and their proportion: first,…

Materials Science · Physics 2013-07-16 Philippe Jonnard , Karine Le Guen , R. Gauvin , Jean-François Le Berre

Comparison of free energies between different phases and different compositions underlies the prediction of alloy phase diagrams. To allow direct comparison, consistent reference points for the energies or enthalpies are required, and the…

Materials Science · Physics 2021-05-19 Yang Huang , Michael Widom , Michael C. Gao

In this work, we report the results of \emph{ab initio} calculations of thermochemical properties of several compounds in the Fe-Nd, B-Nd and B-Fe-Nd systems. We have performed DFT+U calculations to compute the enthalpy of formation of the…

Materials Science · Physics 2020-08-21 Adie Tri Hanindriyo , Soumya Sridar , K. C. Hari Kumar , Kenta Hongo , Ryo Maezono

Tailoring and improving material properties by alloying is a long-known and used concept. Recent research has demonstrated the potential of ab initio calculations in understanding the material properties at the nanoscale. Here we present a…

Materials Science · Physics 2013-10-16 David Holec , Liangcai Zhou , Richard Rachbauer , Paul H. Mayrhofer