| 1 |
The optimal design of experiments (ODOE) as an alternative method for catalysts libraries optimization
Beltran-Oviedo TA, Batyrshin I, Dominguez JM
Catalysis Today, 148(1-2), 28, 2009 |
| 2 |
Multicomponent Au/MgO catalysts designed for selective oxidation of carbon monoxide - Application of a combinatorial approach
Tornpos A, Hegedus M, Margitfalvi JL, Szabo EG, Vegvari L
Applied Catalysis A: General, 334(1-2), 348, 2008 |
| 3 |
Predictive performance of "highly complex" artificial neural networks
Tompos A, Margitfalvi JL, Tfirst E, Heberger K
Applied Catalysis A: General, 324, 90, 2007 |
| 4 |
Evaluation of catalyst library optimization algorithms: Comparison of the Holographic Research Strategy and the Genetic Algorithm in virtual catalytic experiments
Tompos A, Margitfalvi JL, Tfirst E, Vegvari L
Applied Catalysis A: General, 303(1), 72, 2006 |
| 5 |
Development of catalyst libraries for total oxidation of methane - A case study for combined application of "holographic research strategy and artificial neural networks" in catalyst library design
Tompos A, Margitfalvi JL, Tfirst E, Vegvari L, Jaloull MA, Khalfalla HA, Elgarni MA
Applied Catalysis A: General, 285(1-2), 65, 2005 |
| 6 |
Holographic research strategy for catalyst library design - Description of a new powerful optimisation method
Vegvari L, Tompos A, Gobolos S, Margitfalvi J
Catalysis Today, 81(3), 517, 2003 |
| 7 |
Combinatorial preparation and high-throughput catalytic tests of multi-component deNO(x) catalysts
Richter A, Langpape M, Kolf S, Grubert G, Eckelt R, Radnik J, Schneider A, Pohl MM, Fricke R
Applied Catalysis B: Environmental, 36(4), 261, 2002 |
