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Andrey A. Katanin

Researcher at Ural Federal University

Publications -  72
Citations -  1883

Andrey A. Katanin is an academic researcher from Ural Federal University. The author has contributed to research in topics: Hubbard model & Van Hove singularity. The author has an hindex of 23, co-authored 62 publications receiving 1566 citations. Previous affiliations of Andrey A. Katanin include Max Planck Society.

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Dynamical vertex approximation : A step beyond dynamical mean-field theory

TL;DR: In this paper, a diagrammatic approach with local and non-local self-energy diagrams, constructed from the local irreducible vertex, was developed to describe (para)magnons and weak localization effects in strongly correlated systems.
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Fulfillment of Ward identities in the functional renormalization group approach

TL;DR: In this paper, the authors considered the fulfillment of conservation laws and Ward identities in the one-and two-loop functional renormalization group approach, and showed that in a one-particle irreducible scheme of this approach, Ward identities are fulfilled only with the accuracy of the neglected twoloop terms.
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Comparing pertinent effects of antiferromagnetic fluctuations in the two- and three-dimensional Hubbard model

TL;DR: In this article, the authors used the dynamical vertex approximation of the Hubbard model in two and three dimensions to study the impact of antiferromagnetic fluctuations on the spectral function of the model.
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Incommensurate magnetic order and phase separation in the two-dimensional Hubbard model with nearest- and next-nearest-neighbor hopping

TL;DR: In this paper, the ground-state magnetic phase diagram of the two-dimensional Hubbard model with nearest-and next-nearest-neighbor hopping in terms of electronic density and interaction strength is considered.
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From infinite to two dimensions through the functional renormalization group.

TL;DR: A novel scheme for an unbiased, nonperturbative treatment of strongly correlated fermions that combines two of the most successful many-body methods, the dynamical mean field theory and the functional renormalization group, is presented.