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Combinatorial development of solid catalytic materials : design of high-throughput experiments, data analysis, data mining /
The book provides a comprehensive treatment of combinatorial development of heterogeneous catalysts. In particular, two computer-aided approaches that have played a key role in combinatorial catalysis and high-throughput experimentation during the last decade - evolutionary optimization and artifici...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Imperial College Press,
©2009.
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| Colección: | Catalytic science series ;
v. 7. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- ch. 1. Background of combinatorial catalyst development / M. Baerns
- ch. 2. Approaches in the development of heterogeneous catalysts / M. Baerns
- ch. 3. Mathematical methods of searching for optimal catalytic materials / M. Holena
- ch. 4. Generating problem-tailored genetic algorithms for catalyst search / M. Holena
- ch. 5. Analysis and mining of data collected in catalytic experiments / M. Holena
- ch. 6. Artificial neural networks in the development of catalytic materials / M. Holena
- ch. 7. Tuning evolutionary algorithms with artificial neural networks / M. Holena
- ch. 8. Improving neural network approximations / M. Holena
- ch. 9. Applications of combinatorial catalyst development and an outlook on future work / M. Baerns.