Roadmap of spin–orbit torques
Spin–orbit torque (SOT) is an emerging technology that enables the efficient manipulation of
spintronic devices. The initial processes of interest in SOTs involved electric fields, spin …
spintronic devices. The initial processes of interest in SOTs involved electric fields, spin …
Heusler alloys: Past, properties, new alloys, and prospects
Heusler alloys, discovered serendipitously at the beginning of the twentieth century, have
emerged in the twenty-first century as exciting materials for numerous remarkable functional …
emerged in the twenty-first century as exciting materials for numerous remarkable functional …
Ferrimagnets for spintronic devices: From materials to applications
Spintronic devices use spin instead of charge to process information and are widely
considered as promising candidates for next-generation electronic devices. In past decades …
considered as promising candidates for next-generation electronic devices. In past decades …
Heusler, weyl and berry
Heusler compounds, initially discovered by Fritz Heusler more than a century ago, have
grown into a family of more than 1,000 compounds, synthesized from combinations of more …
grown into a family of more than 1,000 compounds, synthesized from combinations of more …
Half-Heusler compounds: novel materials for energy and spintronic applications
Half-Heusler compounds are an impressive class of materials with a huge potential for
different applications such as future energy applications and for spintronics. The …
different applications such as future energy applications and for spintronics. The …
Topological insulators and thermoelectric materials
Topological insulators (TIs) are a new quantum state of matter which have gapless surface
states inside the bulk energy gap [1–4]. Starting with the discovery of two‐dimensional TIs …
states inside the bulk energy gap [1–4]. Starting with the discovery of two‐dimensional TIs …
[HTML][HTML] Machine learning modeling of lattice constants for half-Heusler alloys
Y Zhang, X Xu - AIP Advances, 2020 - pubs.aip.org
The Gaussian process regression model is developed as a machine learning tool to find
statistical correlations among lattice constants, a 0, of half-Heusler compounds, ionic radii …
statistical correlations among lattice constants, a 0, of half-Heusler compounds, ionic radii …
Bonding Analyses in the Broad Realm of Intermetallics: Understanding the Role of Chemical Bonding in the Design of Novel Materials
LS Reitz, J Hempelmann, PC Müller… - Chemistry of …, 2024 - ACS Publications
The design of solids with tailored material properties requires a thorough understanding of
their electronic structures. Examining the latter typically includes chemical-bonding …
their electronic structures. Examining the latter typically includes chemical-bonding …
Hard and semi-hard magnetic materials based on cobalt and cobalt alloys
Cobalt (Co) is one of the most important 3d transition metal elements used in the
development of magnetic materials, especially in hard magnetic materials, from the early Co …
development of magnetic materials, especially in hard magnetic materials, from the early Co …
Structural, electronic, half–metallic ferromagnetic and optical properties of cubic MAlO3 (M= Ce, Pr) perovskites: a DFT study
The first principles calculation is implemented to predict the phase stability, optical activities
and magneto-electronic characteristics of cubic MAlO 3 (M= Ce, Pr) perovskites. The …
and magneto-electronic characteristics of cubic MAlO 3 (M= Ce, Pr) perovskites. The …