Application of Genetic Algorithm to Optimize the Composition of Cu-Zn-Al-Sc Oxide Catalyst for Methanol Synthesis
- 1 January 2003
- journal article
- Published by Japan Petroleum Institute in Journal of the Japan Petroleum Institute
- Vol. 46 (3), 181-188
- https://doi.org/10.1627/jpi.46.181
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- Low-pressure DME synthesis with Cu-based hybrid catalysts using temperature-gradient reactorFuel, 2002
- Fundamental and combinatorial approaches in the search for and optimisation of catalytic materials for the oxidative dehydrogenation of propane to propeneCatalysis Today, 2001
- Selective oxidation of alcohols by combinatorial catalysisCatalysis Today, 2001
- High-throughput synthesis and screening of catalytic materials: Case study on the search for a low-temperature catalyst for the oxidation of low-concentration propaneChemical Engineering Journal, 2001
- A Multipurpose Parallelized 49-Channel Reactor for the Screening of Catalysts: Methane Oxidation as the Example ReactionJournal of Catalysis, 2001
- Optimization of Cu-Zn-Al Oxide Catalyst for Methanol Synthesis Using Genetic Algorithm.Journal of The Japan Petroleum Institute, 2001
- Ethylene and propene by oxidative dehydrogenation of ethane and propane: ‘Performance of rare-earth oxide-based catalysts and development of redox-type catalytic materials by combinatorial methods’Catalysis Today, 2000
- In Situ Investigations of Structural Changes in Cu/ZnO CatalystsJournal of Catalysis, 2000
- High-throughput Screening of Heterogeneous Catalyst under Pressurized Conditions. Optimization of Cu-Mn Oxide Catalyst for Methanol Synthesis.Journal of The Japan Petroleum Institute, 2000
- The activity and state of the copper surface in methanol synthesis catalystsApplied Catalysis, 1986