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By J J Spivey; Jozef L Margitfalvi; E E Blekkan

ISBN-10: 085404244X

ISBN-13: 9780854042449

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49 C. J. Kim, European Patent Specification 0 339 923 B1, 1994. Catalysis, 2007, 20, 13–32 | 31 This journal is  c The Royal Society of Chemistry 2007 50 B. Shi, J. Li, R. A. Keogh and B. H. Davis, D2O tracer studies in Co catalyzed FischerTropsch reaction, Appl. Catal. A, 2002, 229, 283–289. -M. Hilmen, E. Bergene, O. A. Lindva˚g, D. Schanke, S. Eri and A. Holmen, FischerTropsch synthesis using monolithic catalysts, Stud. Surf. Sci. , 2000, 130, 1163–1168. 52 M. Claeys and E. van Steen, On the effect of water during Fischer-Tropsch synthesis with a ruthenium catalyst, Catal.

Seehra and C. B. Roberts, Impact of cobalt-based catalyst characteristics on the performance of conventional gas-phase and supercritical-phase Fischer-Tropsch synthesis, Appl. Catal. A, 2005, 285, 169–180. 66 X. Huang and C. B. , 2003, 83, 81–99. 67 N. O. Elbashir and C. B. Roberts, Enhanced Incorporation of a-Olefins in the FischerTropsch synthesis Chain-Growth Process over an Alumina-Supported Cobalt Catalyst in Near-Critical and Supercritical Hexane Media, Ind. Eng. Chem. , 2005, 44, 505–521.

2 Methods for property predictions Classical chemo metric methods, such as the Quantitative Structure Activity Relationships, QSAR, can be used to relate the chemical characteristics of a molecule to its structure. 29,30 In the context of fuel properties, QSAR methods can be used for prediction of CN, ON and TSI. ) software that has the ability to calculate over 400 molecular descriptors of a particular molecule, which can then be used to predict a fuel property. These molecular descriptors can be based on the size, shape, charge, etc.

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Catalysis by J J Spivey; Jozef L Margitfalvi; E E Blekkan

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