307 - 308 |
European Workshop on Combinatorial Catalysis - (EuroCombiCat 2002) - June 2-5, 2002 - Ischia, Italy - Preface Baerns M, Mirodatos C, Perego C |
309 - 317 |
Mid-IR spectroscopy for rapid on-line analysis in heterogeneous catalyst testing Wilkin OM, Maitlis PM, Haynes A, Turner ML |
319 - 328 |
Application of combinatorial catalysis for the direct amination of benzene to aniline Desrosiers P, Guan SH, Hagemeyer A, Lowe DM, Lugmair C, Poojary DM, Turner H, Weinberg H, Zhou XP, Armbrust R, Fengler G, Notheis U |
329 - 335 |
Accelerating lead discovery via advanced screening methodologies Klein J, Stichert W, Strehlau W, Brenner A, Demuth D, Schunk SA, Hibst H, Storck S |
337 - 345 |
Fundamental insights into the oxidative dehydrogenation of ethane to ethylene over catalytic materials discovered by an evolutionary approach Grubert G, Kondratenko E, Kolf S, Baerns M, van Geem P, Parton R |
347 - 357 |
Application of combinatorial chemistry and high-speed experimentation concepts to the study of titanium-silsesquioxane catalysts Pescarmona PP, van der Waal JC, Maschmeyer T |
359 - 367 |
Optimal on-line sampling of parallel reactions: general concept and a specific spectroscopic example Rothenberg G, Boelens HFM, Iron D, Westerhuis JA |
369 - 375 |
A modified robotic system for catalyst preparation by wet or dry impregnation Grasso G, Harji B, Xue EZ, Belochapkine S, Ross JRH |
377 - 391 |
Fast preparation and testing methods using a microstructured modular reactor for parallel gas phase catalyst screening Muller A, Drese K, Gnaser H, Hampe M, Hessel V, Lowe H, Schmitt S, Zapf R |
393 - 403 |
Can artificial neural networks help the experimentation in catalysis? Serra JM, Corma A, Chica A, Argente E, Botti V |
405 - 412 |
Multivariate approach to zeolite synthesis Tagliabue M, Carluccio LC, Ghisletti D, Perego C |
413 - 424 |
Advances in catalyst development for oxidative ethylbenzene dehydrogenation Geisler S, Vauthey I, Farusseng D, Zanthoff H, Muhler M |
425 - 436 |
Styrene from toluene by combinatorial catalysis Serra JM, Corma A, Farrusseng D, Baumes L, Mirodatos C, Flego C, Perego C |
437 - 447 |
Selective combinatorial catalysis; challenges and opportunities: the preferential oxidation of carbon monoxide Li W, Gracia FJ, Wolf EE |
449 - 455 |
Listening to catalysis - a real time parallel method for high throughput product analysis Johann T, Brenner A, Schwickardi M, Busch O, Marlow F, Schunk S, Schuth F |
457 - 471 |
High-throughput experimentation in catalyst testing and in kinetic studies for heterogeneous catalysis Moulijn JA, Perez-Ramirez J, Berger RJ, Hamminga G, Mul G, Kapteijn F |
473 - 484 |
Selective oxidation of propylene to propylene oxide using combinatorial methodologies Miyazaki T, Ozturk S, Onal I, Senkan S |
485 - 494 |
Feedforward neural networks in catalysis - A tool for the approximation of the dependency of yield on catalyst composition, and for knowledge extraction Holena M, Baerns M |
495 - 506 |
Discovery of new paraffin isomerization catalysts based on SO42-/ZrO2 and WOx/ZrO2 applying combinatorial techniques Corma A, Serra JM, Chica A |
507 - 516 |
Selection of optimum chromium oxide-based catalysts for propane oxidehydrogenation Al-Zahrani SM, Jibril BY, Abasaeed AE |
517 - 527 |
Holographic research strategy for catalyst library design - Description of a new powerful optimisation method Vegvari L, Tompos A, Gobolos S, Margitfalvi J |