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Growth model on (1 + 1) dimensions with local relaxation and discrete number of orientations

Author
CAVALCANTI, W. L1 ; FIGUEIREDO, W1 ; SANTOS, M2
[1] Departamento de Fisica - Universidade Federal de Santa Catarina, 88040-900 Florianópolis, SC, Brazil
[2] Universidade do Vale do Itajaí, Centro de Ensino de Sâo José - UNIVALI, Rod., SC 407, Km 4, São José, SC, Brazil
Conference name
German/Brazilian Workshop on Applied Surface Science (4 ; Tegernsee 2003-09-21)
Source

Physica status solidi. A. Applied research. 2004, Vol 201, Num 5, pp 894-897, 4 p ; ref : 9 ref

CODEN
PSSABA
ISSN
0031-8965
Scientific domain
Crystallography; Electronics; Metallurgy, welding; Condensed state physics
Publisher
Wiley-VCH, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Dépôt électrolytique Energie interaction Hamiltonien Interaction particule Interface Loi échelle Matériau ferromagnétique Modèle Potts Méthode Monte Carlo Relaxation Rugosité Texture 7550
Keyword (en)
Electrodeposition Interaction energy Hamiltonians Particle interactions Interfaces Scaling laws Ferromagnetic materials Potts model Monte Carlo methods Relaxation Roughness Texture
Keyword (es)
Energía interacción
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B70 Condensed matter: electronic structure, electrical, magnetic, and optical properties / 001B70E Magnetic properties and materials / 001B70E50 Studies of specific magnetic materials

Discipline
Physics of condensed state : electronic structure, electrical, magnetic and optical properties
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
15658868

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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