Data flow modeling, data mining and QSAR in high-throughput discovery of functional nanomaterials

Computers and Chemical Engineering

Volumn 35, Issue 4, 2011, Pages 671-678

  Yang, Yang ^a   Lin, Tian ^a   Weng, Xiao L ^b   Darr, Jawwad A ^b   Wang, Xue Z ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Data mining; Design of experiments; Genetic algorithm; High throughput; Nanoparticle; QSAR

Indexed keywords

ANALYTICAL INSTRUMENT; AUTOMATED SYNTHESIS; DATA FLOW; DATA MINING SYSTEM; FINE CHEMICALS; FLOW SYNTHESIS; GAS SENSORS; HIGH-THROUGHPUT; HIGH-THROUGHPUT DATA; INFORMATION FLOWS; METAL OXIDE NANOPARTICLES; NANO CERAMICS; NANO-MATERIALS; PHOTOCATALYTIC PROPERTY; PROCESSING CONDITION; PROMISING MATERIALS; QSAR; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; RAMAN SPECTRA; XRD; XRD PATTERNS;

AUTOMATION; CHEMICAL ANALYSIS; COMPUTATIONAL CHEMISTRY; DATA FLOW ANALYSIS; DESIGN OF EXPERIMENTS; FUEL CELLS; GENETIC ALGORITHMS; HYDROTHERMAL SYNTHESIS; INFORMATION MANAGEMENT; METALLIC COMPOUNDS; MINING MACHINERY; MOLECULAR GRAPHICS; NANOPARTICLES; RAMAN SPECTROSCOPY; STRUCTURAL DESIGN; THROUGHPUT; X RAY DIFFRACTION;

DATA MINING;

EID: 79952485164     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2010.04.018     Document Type: Article

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