Evaluation of ordering in single-component and binary nanocrystal superlattices by analysis of their autocorrelation functions

ACS Nano

Volumn 5, Issue 3, 2011, Pages 1703-1712

  Pichler, Stefan ^a   Bodnarchuk, Maryna I ^a,b   Kovalenko, Maksym V ^a,b   Yarema, Maksym ^a   Springholz, Gunther ^a   Talapin, Dmitri V ^b   Heiss, Wolfgang ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

autocorrelation; epitaxial quantum dots; nanocrystal superstructures; quantification of ordering; self assembled superlattices

Indexed keywords

AUTOCORRELATION FUNCTIONS; BUILDING BLOCKES; COLLOIDAL NANOCRYSTALS; DEPOSITION TECHNIQUE; EFFICIENT METHOD; EPITAXIALLY GROWN; HIGH SENSITIVITY; LATTICE IMPERFECTION; LONG-RANGE ORDER PARAMETERS; LONG-RANGE ORDERING; MONODISPERSE; NANO-SIZED; NANOCRYSTAL ASSEMBLIES; ORDER PARAMETER; QUANTIFICATION METHODS; QUANTIFICATION OF ORDERING; QUANTITATIVE COMPARISON; QUANTUM DOT; SELF ASSEMBLY PROCESS; SELF-ASSEMBLED SUPERLATTICES; SINGLE COMPONENTS; SUPER-LATTICE STRUCTURES;

AUTOCORRELATION; EPITAXIAL GROWTH; NANOCRYSTALS; OPTICAL SYSTEMS; REGRESSION ANALYSIS; SELF ASSEMBLY; SEMICONDUCTOR QUANTUM DOTS;

SUPERLATTICES;

NANOMATERIAL;

ALGORITHM; ARTICLE; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COLLOID; COMPUTER SIMULATION; STATISTICAL MODEL; STATISTICS; ULTRASTRUCTURE;

ALGORITHMS; COLLOIDS; COMPUTER SIMULATION; MODELS, CHEMICAL; MODELS, MOLECULAR; MODELS, STATISTICAL; NANOSTRUCTURES; STATISTICS AS TOPIC;

EID: 79952916770     PISSN: 19360851     EISSN: 1936086X     Source Type: Journal    
DOI: 10.1021/nn200265e     Document Type: Article

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