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Martin Gmitra

Researcher at University of Regensburg

Publications -  140
Citations -  7608

Martin Gmitra is an academic researcher from University of Regensburg. The author has contributed to research in topics: Graphene & Spin–orbit interaction. The author has an hindex of 32, co-authored 127 publications receiving 6144 citations. Previous affiliations of Martin Gmitra include Adam Mickiewicz University in Poznań & University of Pavol Jozef Šafárik.

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Current-induced dynamics in asymmetric spin valves

TL;DR: In this article, the spin transfer in an asymmetric nanopillar spin valve is studied numerically in the diffusive transport regime, and the advantage of systems including a synthetic antiferromagnetic structure compared to simple spin valves is discussed.
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Anisotropic optical properties of Fe/GaAs(001) nanolayers from first principles

TL;DR: In this article, the authors investigated the anisotropy of the optical properties of thin Fe films on GaAs(001) from first-principles calculations, and they used the linearized augmented plane wave method, as implemented in the wien2k density functional theory code.
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Current-induced switching in spin-valve structures

TL;DR: In this article, current-induced magnetic switching in nanopillar spin valves including two thin magnetic films separated by a nonmagnetic layer, and in molecular-based spin valves is considered.
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Spin relaxation in fluorinated single and bilayer graphene

TL;DR: In this article, the role of fluorine adatoms in spin and momentum scattering of charge carriers in dilute fluorinated graphene and bilayer graphene was investigated and the experimental data point to the presence of weak spin-flip scatterers that relax the electron momentum strongly, nearly preserving the electron-hole symmetry.
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The co-evolutionary dynamics of directed network of spin market agents

TL;DR: In this article, the authors generalized the spin market model by employing co-evolutionary principles, where strategies of the interacting and competitive traders are represented by local and global couplings between the nodes of dynamic directed stochastic network.