SUPR
Spin and Lattice Dynamics in Complex Materials
Dnr:

NAISS 2023/5-543

Type:

NAISS Medium Compute

Principal Investigator:

Corina Etz

Affiliation:

LuleƄ tekniska universitet

Start Date:

2023-12-21

End Date:

2025-01-01

Primary Classification:

10304: Condensed Matter Physics

Secondary Classification:

10301: Subatomic Physics

Tertiary Classification:

20506: Metallurgy and Metallic Materials

Allocation

Abstract

Within this project we follow three main directions: (i) investigation of properties of complex materials, (ii) high-throughput calculations and (iii) code development. We use a multi-code and multi-scale approach. This means that we use many codes, choosing the best suited ones for the investigation of different physical properties. Moreover, we investigate properties that are relevant at different length- or timescales (thus the multi-scale approach). The main research activities are aimed at a thorough investigation of materials by studying their complex magnetic and thermodynamic properties. (1) Magnetic properties and code development The emphasis lays on the correct description of magnetic interactions, including surface and relativistic effects, and lattice and magnon dynamics. The focus is the investigation of non-collinear magnetism and spin-wave excitation spectra, in bulk, at surfaces, in multilayers, and in nanostructures. The magnon spectra in non-collinear magnets differ drastically from the ones corresponding to anti- and ferromagnets. The idea is to discover new materials or systems for applications in magnonics and spintronics. The mentioned studies could prove relevant for finding efficient ways of building nano-scale devices for green information and communication technologies. (2) Thermodynamic properties Systematic analysis, based on ab-initio calculations and cluster expansion, of metallic alloys, is performed. Initial work was aimed at Fe-based alloys, as well as investigations for designing new high-performance Al-based alloys. This systematic approach to multi-scale modeling can correctly describe the ordering temperatures, atomic structures, and morphologies of precipitates. A database of calculated thermodynamic properties such as crystal structure, molar volume, enthalpy of formation, and elastic constants of the best candidates has been started and will be continued.