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• Introduction to Approaches in the Development of Heterogeneous Catalysts
• Methods of Searching for Optimal Catalytic Materials
• Analysis and Mining of Data Gathered in Catalytic Experiments
• Artificial Neural Networks in the Study of Catalytic Performance.
• (source: Nielsen Book Data)

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 artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context of methods of searching for optimal catalytic materials, including statistical design of experiments, as well as presents neural networks in a broader context of data analysis. It is the first book that demystifies the attractiveness of artificial neural networks, explaining its rational fundamental - their universal approximation capability. At the same time, it shows the limitations of that capability and describes two methods for how it can be improved. The book is also the first that presents two other important topics pertaining to evolutionary optimization and artificial neural networks: automatic generating of problem-tailored genetic algorithms, and tuning evolutionary algorithms with neural networks. Both are not only theoretically explained, but also well illustrated through detailed case studies.
(source: Nielsen Book Data)

• Introduction to Approaches in the Development of Heterogeneous Catalysts
• Methods of Searching for Optimal Catalytic Materials
• Analysis and Mining of Data Gathered in Catalytic Experiments
• Artificial Neural Networks in the Study of Catalytic Performance.
• (source: Nielsen Book Data)

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 artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context of methods of searching for optimal catalytic materials, including statistical design of experiments, as well as presents neural networks in a broader context of data analysis. It is the first book that demystifies the attractiveness of artificial neural networks, explaining its rational fundamental - their universal approximation capability. At the same time, it shows the limitations of that capability and describes two methods for how it can be improved. The book is also the first that presents two other important topics pertaining to evolutionary optimization and artificial neural networks: automatic generating of problem-tailored genetic algorithms, and tuning evolutionary algorithms with neural networks. Both are not only theoretically explained, but also well illustrated through detailed case studies.
(source: Nielsen Book Data)

• Introduction to Approaches in the Development of Heterogeneous Catalysts
• Methods of Searching for Optimal Catalytic Materials
• Analysis and Mining of Data Gathered in Catalytic Experiments
• Artificial Neural Networks in the Study of Catalytic Performance.
• (source: Nielsen Book Data)

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 artificial neural networks - are described. The book is unique in that it describes evolutionary optimization in a broader context of methods of searching for optimal catalytic materials, including statistical design of experiments, as well as presents neural networks in a broader context of data analysis. It is the first book that demystifies the attractiveness of artificial neural networks, explaining its rational fundamental - their universal approximation capability. At the same time, it shows the limitations of that capability and describes two methods for how it can be improved. The book is also the first that presents two other important topics pertaining to evolutionary optimization and artificial neural networks: automatic generating of problem-tailored genetic algorithms, and tuning evolutionary algorithms with neural networks. Both are not only theoretically explained, but also well illustrated through detailed case studies.
(source: Nielsen Book Data)

• Introduction.- Importance of Catalysis in the Chemical and Non-Chemical Industries.- Partial Oxidation of Methane.- Partial Oxidation of Light Hydrocarbons.- Selective Hydrogenation of Multiply-Unsaturated Hydrocarbon Compounds.- Hydrocarbon Conversion Reactions.- Catalyst Preparation.- Ordered Mesoporous Materials: Their Preparation and Application in Catalysis.- The Application of Zeolites in Catalysis.- In-situ-Characterization of Inorganic Catalytic Materials.- Catalyst Deactivation.- Reaction Engineering in Heterogeneous and Homogeneous Catalysis.- Homogeneous Catalysis.- Polymerization Catalysis.- Biocatalysis.
• (source: Nielsen Book Data)

• I Introduction.- The Importance of Catalysis in the Chemical and Non-Chemical Industries.- II Selected Reactions in Heterogeneous Catalysis.- Partial Oxidation of C2 to C4 Paraffins.- Selective Hydrogenation of Multiply-Unsaturated Hydrocarbon Compounds.- Catalytic Reforming.- The Application of Zeolites in Catalysis.- III Preparation, Functionality and Characterization of Heterogeneous Catalysts.- Catalyst Preparation.- Tools for High-Throughput Experimentation in the Development of Heterogeneous Catalysts.- Ordered Mesoporous Materials: Preparation and Application in Catalysis.- In-situ-Characterization of Practical Heterogeneous Catalysts.- IV Homogeneous Catalysis, Polymerization Catalysis and Biocatalysis.- Homogeneous Catalysis.- Polymerization Catalysis.- Biocatalysis.- V Catalytic Reaction Engineering.- Kinetics of Heterogeneous Catalytic Reactions.- Catalyst Deactivation.- Divided Catalytic Processes.- Structured Catalysts and Micro-Structured Reactors.
• (source: Nielsen Book Data)

Written by a team of internationally recognized experts, this book addresses the most important types of catalytic reactions and catalysts as used in industrial practice. Both applied aspects and the essential scientific principles are described. The main topics can be summarized as follows: heterogeneous, homogeneous and biocatalysis, catalyst preparation and characterization, catalytic reaction engineering and kinetics, catalyst deactivation and industrial perspective.
(source: Nielsen Book Data)