Optimisation of olefin epoxidation catalysts with the application of high-throughput and genetic algorithms assisted by artificial neural networks (softcomputing techniques)

Journal of Catalysis

Volumn 229, Issue 2, 2005, Pages 513-524

  Corma, A ^a   Serra, J M ^a   Serna, P ^a   Valero, S ^b   Argente, E ^b   Botti, V ^b  

^a INSTITUTO DE TECNOLOGÍA QUÍMICA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Epoxidation; Genetic algorithm; High throughput; MCM 41; MCM 48; Neural networks; Titanium

Indexed keywords

HYDROTHERMAL SYNTHESIS; MOLECULAR SIEVES; OLEFINS; OPTIMIZATION; OXIDATION; SURFACE ACTIVE AGENTS; ULTRAVIOLET SPECTROSCOPY; X RAY DIFFRACTION ANALYSIS;

CATALYTIC TESTING; CLUSTERRING ANALYSIS; EPOXIDATION; SOFTCOMPUTING TECHNIQUES;

CATALYST ACTIVITY;

ALKENE; CYCLOHEXENE DERIVATIVE; HYDROXIDE; MCM 41; MCM 48; OXIDIZING AGENT; SILICATE; SURFACTANT; TERT BUTYL HYDROPEROXIDE; TITANIUM; UNCLASSIFIED DRUG;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CATALYSIS; CATALYST; CLUSTER ANALYSIS; DIFFUSE REFLECTANCE SPECTROSCOPY; EPOXIDATION; EXPERIMENTATION; GENETIC ALGORITHM; MOLECULAR PROBE; POROSITY; ULTRAVIOLET RADIATION; X RAY DIFFRACTION;

EID: 13444263648     PISSN: 00219517     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jcat.2004.11.024     Document Type: Article

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