Modeling materials with optimized transport properties
Peter Kratzer, Vladimir M. Fomin, B. H\"ulsen, M. Scheffler

TL;DR
This paper combines quantum-mechanical modeling and scale-bridging tools to predict and optimize transport properties in materials for magnetoelectronics and thermoelectric applications.
Contribution
It introduces a multi-scale modeling approach linking atomic structure to macroscopic transport properties, with specific strategies for Heusler alloys and quantum dot superlattices.
Findings
Excess manganese stabilizes half-metallicity in Heusler alloys.
Optimized quantum dot size and doping improve thermoelectric efficiency.
Atomic disorder impacts spin polarization and transport properties.
Abstract
Following demands for materials with peculiar transport properties, e.g. in magnetoelectronics or thermoelectrics, there is a need for materials modeling at the quantum-mechanical level. We combine density-functional with various scale-bridging tools to establish correlations between the macroscopic properties and the atomic structure of materials. For examples, magnetic memory devices exploiting the tunneling magneto-resistance (TMR) effect depend crucially on the spin polarization of the electrodes. Heusler alloys, e.g. Co2MnSi, if perfectly ordered, are ferromagnetic half-metals with (ideally) 100% spin polarization. Their performance as electrodes in TMR devices is limited by atomic disorder and deviations from perfect stoichiometry, but also by interface states at the tunneling barrier. We use ab initio thermodynamics in conjunction with the cluster expansion technique to show that…
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Taxonomy
TopicsMagnetic properties of thin films · Surface and Thin Film Phenomena · Heusler alloys: electronic and magnetic properties
