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Traditional solid-state physics has long correlated the optical properties of materials with their electronic structures. However, recent discoveries of intrinsic gapped metals have challenged this classical view. Gapped metals possess…

Materials Science · Physics 2023-04-28 Muhammad Rizwan Khan , Harshan Reddy Gopidi , Oleksandr I. Malyi

The quest to improve transparent conductors balances two key goals: increasing electrical conductivity and increasing optical transparency. To improve both simultaneously is hindered by the physical limitation that good metals with high…

This paper deals with a significant family of compounds predicted by simplistic electronic structure theory to be metals but are, in fact, insulators. This false metallic state has been traditionally attributed in the literature to reflect…

Materials Science · Physics 2020-11-30 Oleksandr I. Malyi , Alex Zunger

Expanding the library of known inorganic materials with functional electronic or magnetic behavior is a longstanding goal in condensed matter physics and materials science. Recently, the transition metal chalchogenides including selenium…

We present a computational screening of experimental structural repositories for fast Li-ion conductors, with the goal of finding new candidate materials for application as solid-state electrolytes in next-generation batteries. We start…

Materials Science · Physics 2021-06-10 Leonid Kahle , Aris Marcolongo , Nicola Marzari

The increasing financial and environmental cost of many inorganic materials has motivated study into organic and "green" alternatives. However, most organic compounds contain a large number of atoms in the primitive unit cell, posing a…

Materials Science · Physics 2024-05-14 Alexander C. Tyner , Alexander V. Balatsky

Combination of electrical conductivity and optical transparency in the same material -- known to be a prerogative of only a few oxides of post-transition metals, such as In, Sn, Zn and Cd -- manifests itself in a distinctive band structure…

Materials Science · Physics 2009-11-13 J. E. Medvedeva

The electronic properties of interfaces between two different solids can differ strikingly from those of the constituent materials. For instance, metallic conductivity, and even superconductivity, have been recently discovered at interfaces…

Materials Science · Physics 2009-11-13 H. Dias Alves , A. S. Molinari , H. Xie , A. F. Morpurgo

In this paper, we present the results of a large-scale, high-throughput computational search for electrides among all known inorganic materials. Analyzing a database of density functional theory results on more than 60,000 compounds, we…

Materials Science · Physics 2019-06-27 Lee A. Burton , Francesco Ricci , Gian-Marco Rignanese , Geoffroy Hautier

We discover many new crystalline solid materials with fast single crystal Li ion conductivity at room temperature, discovered through density functional theory simulations guided by machine learning-based methods. The discovery of new solid…

Materials Science · Physics 2019-04-22 Austin D. Sendek , Ekin D. Cubuk , Evan R. Antoniuk , Gowoon Cheon , Yi Cui , Evan J. Reed

Combinatorial and guided screening of materials space with density-functional theory and related approaches has provided a wealth of hypothetical inorganic materials, which are increasingly tabulated in open databases. The OPTIMADE API is a…

Topological metals are special conducting materials with gapless band structures and nontrivial edge-localized resonances, whose discovery has proved elusive because the traditional topological classification methods do not apply in this…

Mesoscale and Nanoscale Physics · Physics 2023-06-21 Wenting Cheng , Alexander Cerjan , Ssu-Ying Chen , Emil Prodan , Terry A. Loring , Camelia Prodan

Amorphous materials exhibit unique properties that make them suitable for various applications in science and technology, ranging from optical and electronic devices and solid-state batteries to protective coatings. However, data-driven…

Materials Science · Physics 2024-02-02 Hui Zheng , Eric Sivonxay , Max Gallant , Ziyao Luo , Matthew McDermott , Patrick Huck , Kristin A. Persson

Compounds of low lattice thermal conductivity (LTC) are essential for seeking thermoelectric materials with high conversion efficiency. Some strategies have been used to decrease LTC. However, such trials have yielded successes only within…

Materials Science · Physics 2015-11-18 Atsuto Seko , Atsushi Togo , Hiroyuki Hayashi , Koji Tsuda , Laurent Chaput , Isao Tanaka

Transparent Conductors (TCs) exhibit optical transparency and electron conductivity, and are essential for many opto-electronic and photo-voltaic devices. The most common TCs are electron-doped oxides, which have few limitations when…

A new type of metal-dielectric composites has been proposed that is characterised by a resonance-like behaviour of the effective permeability in the infrared and visible spectral ranges. This material can be referred to as optomagnetic…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 L. V. Panina , A. N. Grigorenko , D. P. Makhnovskiy

It is indisputable that the search for high-temperature superconductivity has stimulated the work on low-dimensional organic conductors at its beginning. Since the discovery of true metal-like conduction in molecular compounds more than 50…

Superconductivity · Physics 2024-03-05 Denis Jerome , Claude Bourbonnais

Optical waveguides, covered with thin films, which transmittance can be controlled by external action, are widely used in various applications from optical modulators to saturable absorbers. It is natural to suggest that the waveguide…

Magnetic topological insulators and semi-metals have a variety of properties that make them attractive for applications including spintronics and quantum computation, but very few high-quality candidate materials are known. In this work, we…

Materials Science · Physics 2021-04-21 Kamal Choudhary , Kevin F. Garrity , Nirmal J. Ghimire , Naween Anand , Francesca Tavazza

One of the main goals and challenges of materials discovery is to find the best candidates for each interest property or application. Machine learning rises in this context to efficiently optimize this search, exploring the immense…

Materials Science · Physics 2021-08-04 Gabriel R. Schleder , Bruno Focassio , Adalberto Fazzio
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