Multivariate data analysis for depth resolved chemical classification and quantification of sulfur in SNMS

Applied Surface Science

Volumn 252, Issue 1 SPEC. ISS., 2005, Pages 252-256

  Sommer, M ^a   Goschnick, J ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Classification; Organic and inorganic compounds; Quantification; SNMS; Sulfur

Indexed keywords

CHEMICAL ANALYSIS; DATA REDUCTION; INFORMATION ANALYSIS; INORGANIC COMPOUNDS; KINETIC ENERGY; MASS SPECTROMETRY; ORGANIC COMPOUNDS; PROBLEM SOLVING;

CHEMICAL SPECIFICATIONS; CLUSTER SIGNALS; QUANTIFICATION; SNMS;

SULFUR;

EID: 24644453836     PISSN: 01694332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apsusc.2005.02.010     Document Type: Conference Paper

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