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15 - General Engineering

London South Bank University

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Article title

Optimisation of alkene epoxidation catalysed by polymer supported Mo(VI) complexes and application of artificial neural network for the prediction of catalytic performances

Type

D - Journal article

DOI

10.1016/j.apcata.2013.06.055

Title of journal

Applied Catalysis A: General

Article number

Volume number

466

Issue number

First page of article

142

ISSN of journal

0926860X

Year of publication

2013

URL

Number of additional authors

Additional information

This is the first paper that reported the application of artificial neural network for 1-hexene/4-vinyl-1-cyclohexene epoxidations catalysed by polymer-supported Mo (VI) complexes. This research was financially supported by EPSRC (EP/H027653/1) and The Royal Society Brian Mercer Feasibility award. The work was carried out in collaboration with Usmanu Danfodiyo University, Nigeria, and supported by Celanese Corporation, USA and TET Fund, Nigeria. This research won the first prize for technical excellence at an annual IChemE research event (2012). Its success has laid the foundation for the on-going research on commercially important epoxides production in multi-functional reactors.

Interdisciplinary

Cross-referral requested

Research group

2 - Chemical and Process Engineering

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract