Data mining for isotope discrimination in atom probe tomography

Ultramicroscopy

Volumn 132, Issue , 2013, Pages 121-128

  Broderick, Scott R ^a   Bryden, Aaron ^b   Suram, Santosh K ^a   Rajan, Krishna ^a  

^a IOWA STATE UNIVERSITY   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Atom probe tomography (APT); Data visualization; Eigenvalue decomposition; Kinetic energy discrimination; Principal component analysis (PCA)

Indexed keywords

ATOM-PROBE TOMOGRAPHY; DATA MINING METHODS; EIGENVALUE DECOMPOSITION; EVAPORATION PROCESS; ISOTOPE DISCRIMINATION; KINETIC ENERGY DISCRIMINATIONS; POSITION-SENSITIVE DETECTORS; STATISTICAL LEARNING;

DATA VISUALIZATION; EIGENVALUES AND EIGENFUNCTIONS; ISOTOPES; KINETICS; PRINCIPAL COMPONENT ANALYSIS;

KINETIC ENERGY;

ALUMINUM; MAGNESIUM;

ARTICLE; ATOM PROBE TOMOGRAPHY; CHEMICAL REACTION KINETICS; COMPOSITE MATERIAL; DATA MINING; EVAPORATION; ISOTOPE ANALYSIS; MATHEMATICAL COMPUTING; OPTICAL RESOLUTION; SIGNAL DETECTION; TOMOGRAPHY;

EID: 84883822077     PISSN: 03043991     EISSN: 18792723     Source Type: Journal    
DOI: 10.1016/j.ultramic.2013.02.001     Document Type: Article

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