Block Lanczos density-matrix renormalization group method for general Anderson impurity models: Application to magnetic impurity problems in graphene
Tomonori Shirakawa, Seiji Yunoki

TL;DR
This paper introduces a novel block Lanczos DMRG method to accurately model and analyze magnetic impurity behaviors in graphene, capturing complex spatial and dynamical properties of Anderson impurity models.
Contribution
The authors develop a flexible BL-DMRG technique for general Anderson impurity models, including multi-orbital and symmetry-adapted bases, and demonstrate its application to graphene impurity problems.
Findings
Impurity in graphene behaves as an unscreened magnetic moment with no Kondo screening.
Spin-spin correlations decay as r^{-3} for magnetic impurities, differing from non-interacting cases.
The method accurately captures spatially dependent static and dynamical quantities in impurity models.
Abstract
We introduce a block Lanczos (BL) recursive technique to construct quasi-one-dimensional models, suitable for density-matrix renormalization group (DMRG) calculations, from single- as well as multiple-impurity Anderson models in any spatial dimensions. This new scheme, named BL-DMRG method, allows us to calculate not only local but also spatially dependent static and dynamical quantities of the ground state for general Anderson impurity models without losing elaborate geometrical information of the lattice. We show that the BL-DMRG method can be easily extended to treat a multi-orbital Anderson impurity model. We also show that the symmetry adapted BL bases can be utilized, when it is appropriate, to reduce the computational cost. As a demonstration, we apply the BL-DMRG method to three different models for graphene: (i) a single adatom on the honeycomb lattice, (ii) a substitutional…
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