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Related papers: Data Storage: Review of Heusler Compounds

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Employing {\it ab initio} electronic structure calculations we extensively study ternary Heusler compounds having the chemical formula X$_2$X$^\prime$Z, where X = Mn, Fe or Co; Z = Al or Si; and X$^\prime$ changes along the row of 4$d$…

Materials Science · Physics 2020-01-08 Srikrishna Ghosh , Subhradip Ghosh

Li-based half-Heusler alloys have attracted much attention due to their potential applications in optoelectronics and because they carry the possibility of exhibiting large magnetic moments for spintronic applications. Due to their…

Materials Science · Physics 2015-03-05 L. Damewood , B. Busemeyer , M. Shaughnessy , C. Y. Fong , L. H. Yang , C. Felser

Half-metallic Heusler alloys are amongst the most promising materials for future magnetoelectronic applications. We review some recent results on the electronic properties of these compounds. The origin of the gap in these half-metallic…

Materials Science · Physics 2009-11-11 I. Galanakis , Ph. Mavropoulos

Magnetic shape memory Heusler alloys are multiferroics stabilized by the correlations between electronic, magnetic and structural order. To study these correlations we use time resolved x-ray diffraction and magneto-optical Kerr effect…

It is shown by rigorous ab initio calculations that half-Heusler alloys of transition metals and $d^0$ metals, defined by the valence electronic configuration $ns^{1,2},(n-1)d^0$, can produce all kinds of half-metallic behavior including…

Materials Science · Physics 2017-02-28 S. Davatolhagh , A. Dehghan

Random forest (RF) regression model is used to predict the lattice constant, magnetic moment and formation energies of full Heusler alloys, half Heusler alloys, inverse Heusler alloys and quaternary Heusler alloys based on existing as well…

Materials Science · Physics 2022-08-29 Srimanta Mitra , Aquil Ahmad , Sajib Biswas , Amal Kumar Das

Integrating a high share of electricity from non-dispatchable Renewable Energy Sources in a power supply system is a challenging task. One option considered in many studies dealing with prospective power systems is the installation of…

Physics and Society · Physics 2014-10-09 Stefan Weitemeyer , David Kleinhans , Thomas Vogt , Carsten Agert

The past decade has been especially creative for spintronics since the (re)discovery of various two dimensional (2D) materials. Due to the unusual physical characteristics, 2D materials have provided new platforms to probe the spin…

Mesoscale and Nanoscale Physics · Physics 2016-02-25 Wei Han

Spintronics is the fast growing field that will play a key role in optimizing power consumption, memory, and processing capabilities of nanoelectronic devices. Heusler alloys are potential candidates for application in spintronics due to…

Materials Science · Physics 2022-04-15 Nikolai A Zarkevich , Prashant Singh , A. V. Smirnov , Duane D. Johnson

Magnets are key materials for the electrification of mobility and also for the generation and transformation of electric energy. Research and development in recent decades lead to high performance magnets, which require a finely tuned…

Materials Science · Physics 2023-12-25 Lukas Weissitsch , Franziska Staab , Karsten Durst , Andrea Bachmaier

All-d-metal full-Heusler alloys possess superior mechanical properties and high spin polarization, which would play an important role in spintronic applications. Despite this, their electrical and thermal transport properties have not been…

Engineering of magnetic materials for developing better spintronic applications relies on the control of two key parameters: the spin polarization and the Gilbert damping responsible for the spin angular momentum dissipation. Both of them…

In this paper we review the recent field of organic spintronics, where organic materials are applied as a medium to transport and control spin-polarized signals. The contacts for injecting and detecting spins are formed by metals, oxides,…

Mesoscale and Nanoscale Physics · Physics 2007-06-13 W. J. M. Naber , S. Faez , W. G. van der Wiel

We develop a high-throughput computational scheme based on cluster multipole theory to identify new functional antiferromagnets. This approach is applied to 228 magnetic compounds listed in the AtomWork-Adv database, known for their…

Materials Science · Physics 2024-04-04 Takuya Nomoto , Susumu Minami , Yuki Yanagi , Michi-To Suzuki , Takashi Koretsune , Ryotaro Arita

Magnets are used in electronics to store and read information. A magnetic moment is rotated to a desired direction, so that information can later be retrieved by reading this orientation. Controlling the moment via electric currents causes…

Mesoscale and Nanoscale Physics · Physics 2023-09-25 Lina Johnsen Kamra , Akashdeep Kamra

Magnons - the quanta of spin waves - propagating in magnetic materials with wavelengths at the nanometer-scale and carrying information in the form of an angular momentum, can be used as data carriers in next-generation, nano-sized low-loss…

Mesoscale and Nanoscale Physics · Physics 2017-06-07 A. V. Chumak , A. A. Serha , B. Hillebrands

Traditional studies that combine spintronics and superconductivity have mainly focused on the injection of spin-polarized quasiparticles into superconducting materials. However, a complete synergy between superconducting and magnetic orders…

Mesoscale and Nanoscale Physics · Physics 2015-10-14 Jacob Linder , Jason W. A. Robinson

Conducting and magnetic properties of a material often change in some confined geometries. However, a situation where a non-magnetic semiconductor becomes both metallic and magnetic at the surface is quite rare, and to the best of our…

Strongly Correlated Electrons · Physics 2020-03-04 S. Keshavarz , I. Di Marco , D. Thonig , L. Chioncel , O. Eriksson , Y. O. Kvashnin

Spin-based electronics has evolved into a major field of research that broadly encompasses different classes of materials, magnetic systems, and devices. This review describes recent advances in spintronics that have the potential to impact…

This chapter presents an innovative framework for the application of machine learning and data analytics for the identification of alloys or composites exhibiting certain desired properties of interest. The main focus is on alloys and…

Materials Science · Physics 2020-12-15 Baldur Steingrimsson , Xuesong Fan , Anand Kulkarni , Michael C. Gao , Peter K. Liaw
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