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We study the conductivities $\sigma$ of (i) the equilibrium isochoric state ($\sigma_{\rm is}$), (ii) the equilibrium isobaric state ($\sigma_{\rm ib}$), and also the (iii) non-equilibrium ultrafast matter (UFM) state ($\sigma_{\rm uf}$)…

Materials Science · Physics 2017-12-15 M. W. C. Dharma-wardana , D. D. Klug , L. Harbour , Laurent J. Lewis

Alloys composed of several elements in roughly equimolar composition, often referred to as high-entropy alloys, have long been of interest for their thermodynamics and peculiar mechanical properties, and more recently for their potential…

Journal ref.: J. Phys.: Condens. Matter 25, 065602 (2013): We investigated the optical reflectivity of the heavy-fermion metal CeCu2Si2 in the energy range 3 meV - 30 eV for temperatures between 4K - 300K. The results for the charge…

Strongly Correlated Electrons · Physics 2013-01-15 J. Sichelschmidt , A. Herzog , H. S. Jeevan , C. Geibel , F. Steglich , T. Iizuka , S. Kimura

High-throughput (HTP) $ab$ $initio$ calculations are performed on 27,865 Heusler compositions, covering a broad range of regular, inverse, and half-Heusler compounds in both cubic and tetragonal phases. In addition to conventional stability…

Materials Science · Physics 2025-02-26 Enda Xiao , Terumasa Tadano

We report the experimental discovery of bulk superconductivity in two kagome lattice compounds, YRu$_3$B$_2$ and LuRu$_3$B$_2$, which were predicted through machine learning-accelerated high-throughput screening combined with first…

In this study, we attempted to model vacancy ordered half Heusler compounds with 18 valence electron count (VHH) derived from 19 VEC compounds such as TiNiSb such that the compositions will be Ti0.75NiSb, Zr0.75NiSb and Hf0.75NiSb with…

Materials Science · Physics 2023-09-12 Gowri Sankar S , Mukesh K. Choudhary , Amal Raj , P. Ravindran

Efficient thermoelectric materials should present large Seebeck coefficient, high electrical conductivity and low thermal conductivity. An enhanced Seebeck coefficient can be obtained from materials where the Fermi level can be aligned with…

Strongly Correlated Electrons · Physics 2016-08-03 Pablo Villar Arribi , Pablo García-Fernández , Javier Junquera , Victor Pardo

Theoretical prediction of the thermal conductivity $\kappa$ of metal-like electron-ion systems would be greatly simplified if a convenient generalization of the Lorentz number $L_N$ for arbitrary temperatures ($T$) and densities were…

Materials Science · Physics 2024-05-01 M. W. C. Dharma-wardana

The two-dimensional compound group of MXenes, which exhibit unique optical, electrical, chemical, and mechanical properties, are an exceptional class of transition metal carbides and nitrides. In addition to traditional applications in…

The quasi-harmonic Debye approximation has been implemented within the AFLOW and Materials Project frameworks for high-throughput computational science (Automatic Gibbs Library, AGL), in order to calculate thermal properties such as the…

Two-dimensional (2D) materials exhibit a wide range of electronic properties that make them promising candidates for next-generation nanoelectronic devices. Accurate prediction of their quantum transport behavior is therefore of both…

Materials Science · Physics 2025-12-22 Jijie Zou , Zhanghao Zhouyin , Qiangqiang Gu , Shishir Kumar Pandey

Electron transport through a quantum dot coupled to superconducting leads shows a sharp conductance onset when a quantum dot orbital level crosses the superconducting coherence peak of one lead. We study superconducting single electron…

Mesoscale and Nanoscale Physics · Physics 2019-02-06 D. M. T. van Zanten , H. Courtois , C. B. Winkelmann

A comparison of the structural, optical and electronic properties of the recently discovered transparent conducting oxide (TCO), nanoporous Ca12Al14O33, with those of the conventional TCO's (such as Sc-doped CdO) indicates that this…

Materials Science · Physics 2009-11-10 J. E. Medvedeva , A. J. Freeman

Interatomic potentials have been widely used in atomistic simulations such as molecular dynamics. Recently, frameworks to construct accurate interatomic potentials that combine a systematic set of density functional theory (DFT)…

Materials Science · Physics 2015-09-09 Atsuto Seko , Akira Takahashi , Isao Tanaka

Prediction and characterization of crystal structures of alloys are a key problem in materials research. Using high-throughput ab initio calculations we explore the low-temperature phase diagrams for the following systems: {Bi-In, Bi-Mg,…

Materials Science · Physics 2007-05-23 Stefano Curtarolo , Aleksey N. Kolmogorov , Franklin Hadley Cocks

With the rapid development of artificial intelligence, the combination of material database and machine learning has driven the progress of material informatics. Because aluminum alloy is widely used in many fields, so it is significant to…

Materials Science · Physics 2022-07-05 Houchen Zuo , Yongquan Jiang , Yan Yang , Baoying Liu , Jie Hu

We study the electrical conductivity in a nodal-line semimetal with charged impurities. The screening of the Coulomb potential in this system is qualitatively different from what is found in conventional metals or semiconductors, with the…

Mesoscale and Nanoscale Physics · Physics 2017-10-18 S. V. Syzranov , B. Skinner

We develop a detailed analysis of electron transport in normal diffusive conductors in the presence of proximity induced superconducting correlation. We calculated the linear conductance of the system and the profile of the electric field.…

Condensed Matter · Physics 2007-05-23 A. A. Golubov , F. Wilhelm , A. D. Zaikin

The best thermoelectric materials are believed to be heavily doped semiconductors. The presence of a bandgap is assumed to be essential to achieve large thermoelectric power factor and figure of merit. In this work, we study HgTe as an…

Materials Science · Physics 2018-08-08 Maxime Markov , Xixiao Hu , Han-Chun Liu , Naiming Liu , Joseph Poon , Keivan Esfarjani , Mona Zebarjadi

We survey the landscape of binary hydrides across the entire periodic table from 10 to 500 GPa using a crystal structure prediction method. Building a critical temperature ($T_c$) model, with inputs arising from density of states…

Superconductivity · Physics 2021-08-11 Alice M. Shipley , Michael J. Hutcheon , Richard J. Needs , Chris J. Pickard
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