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Cited by 701

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Spin and molecular electronics in atomically generated orbital landscapes

Rocha, A. R., García-Suárez, V. M., Bailey, S., Lambert, C., Ferrer, J., Sanvito, S.·2006·Physical Review B

Abstract

Ab initio computational methods for electronic transport in nanoscaled systems are an invaluable tool for the design of quantum devices. We have developed a flexible and efficient algorithm for evaluating $I\text{\ensuremath{-}}V$ characteristics of atomic junctions, which integrates the nonequilibrium Green's function method with density functional theory. This is currently implemented in the package SMEAGOL. The heart of SMEAGOL is our scheme for constructing the surface Green's functions describing the current-voltage probes. It consists of a direct summation of both open and closed scattering channels together with a regularization procedure of the Hamiltonian and provides great improvements over standard recursive methods. In particular it allows us to tackle material systems with complicated electronic structures, such as magnetic transition metals. Here we present a detailed description of SMEAGOL together with an extensive range of applications relevant for the two burgeoning fields of spin and molecular electronics.

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Metadata

Authors
Rocha, A. R., García-Suárez, V. M., Bailey, S., Lambert, C., Ferrer, J., & Sanvito, S.
Venue
Physical Review B
Published
2006-02-16
Volume
73
Issue
8
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W2029635197
Cited by
701
References
3
FWCI
43.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Spin and molecular electronics in atomically generated orbital landscapes. https://app.cochat.ai/papers/10.1103/physrevb.73.085414
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Rocha, A. R., García-Suárez, V. M., Bailey, S., Lambert, C., Ferrer, J., & Sanvito, S. (2006). Spin and molecular electronics in atomically generated orbital landscapes. Physical Review B. https://doi.org/10.1103/physrevb.73.085414

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.