The development of parallel synthesis and high-throughput characterization tools offer scientists a time-efficient and cost-effective solution for accelerating traditional synthesis processes and developing the structure-property relationships of multiple materials under variable conditions. Written by renowned contributors to the field, Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials documents the impact of combinatorial methods for inorganic, organic, polymeric, and biological materials applications over the last several years. This valuable reference describes techniques for the preparation, formulation, fabrication, optimization, performance testing, and evaluation of catalysts, polymeric materials arrays, sensing materials, fuel cell battery and memory materials, semiconductor nanoclusters, dielectrics, OLED arrays, additives, organic coatings, luminescent materials, and phosphors. The book introduces some of the latest features in the development of combinatorial and high throughput workflows, including new library designs, the scale-up of combinatorially discovered materials, and innovative methods of data storage, data mining and informatics. It also points to active research in the development of intelligent software for data mining including multiparameter modeling and visualization. As combinatorial materials science becomes increasingly applicable to a growing number of materials and problems, Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials provides an essential portrait of the success, challenges, and opportunities in this field for the next generation of combinatorial chemists, material scientists, and industrial chemists and academics.

Chemical sensors are in high demand for applications as varied as water pollution detection, medical diagnostics, and battlefield air analysis. Designing the next generation of sensors requires an interdisciplinary approach. The book provides a critical analysis of new opportunities in sensor materials research that have been opened up with the use of combinatorial and high-throughput technologies, with emphasis on experimental techniques. For a view of component selection with a more computational perspective, readers may refer to the complementary volume of Integrated Analytical Systems edited by M. Ryan et al., entitled "Computational Methods for Sensor Material Selection".

This book, edited by Potyrailo and Amis, addresses a new paradigm-shifting approach in the search for new materials-Combinatorial Materials Science. One way to consider such an approach is to imagine an adventurous chef who decides to look for new entrees by cooking food ingredients in many pots using different combinations in every pot, and boil ing, steaming, or frying them in various ways. Although most of the pots will not have the tastiest food ever devised, some recipes will taste intriguing, and some eventually will lead to a discovery of a new fascinating cuisine. Of course, having a skilled chef design the com binatorial formulation will certainly be helpful in ensuring a successful outcome. Similar to food, each engineering material is a complex product of its chemical composition, structure, and processing. Generally, each of these components matters---change one and you get another material. Most of these "new" materials will be less good than ones we use now since existing materials have been refined with the extensive work of scientists and engi neers. At the same time if one prepares diverse materials like our adventurous chef, chang ing material composition, processing conditions and time, etc. , some of these materials will be superior to existing ones and a few might represent breakout technology.

This book, edited by Potyrailo and Amis, addresses a new paradigm-shifting approach in the search for new materials-Combinatorial Materials Science. One way to consider such an approach is to imagine an adventurous chef who decides to look for new entrees by cooking food ingredients in many pots using different combinations in every pot, and boil ing, steaming, or frying them in various ways. Although most of the pots will not have the tastiest food ever devised, some recipes will taste intriguing, and some eventually will lead to a discovery of a new fascinating cuisine. Of course, having a skilled chef design the com binatorial formulation will certainly be helpful in ensuring a successful outcome. Similar to food, each engineering material is a complex product of its chemical composition, structure, and processing. Generally, each of these components matters---change one and you get another material. Most of these "new" materials will be less good than ones we use now since existing materials have been refined with the extensive work of scientists and engi neers. At the same time if one prepares diverse materials like our adventurous chef, chang ing material composition, processing conditions and time, etc., some of these materials will be superior to existing ones and a few might represent breakout technology."

The development of parallel synthesis and high-throughput characterization tools offer scientists a time-efficient and cost-effective solution for accelerating traditional synthesis processes and developing the structure-property relationships of multiple materials under variable conditions. Written by renowned contributors to the field, Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials documents the impact of combinatorial methods for inorganic, organic, polymeric, and biological materials applications over the last several years.

This valuable reference describes techniques for the preparation, formulation, fabrication, optimization, performance testing, and evaluation of catalysts, polymeric materials arrays, sensing materials, fuel cell battery and memory materials, semiconductor nanoclusters, dielectrics, OLED arrays, additives, organic coatings, luminescent materials, and phosphors. The book introduces some of the latest features in the development of combinatorial and high throughput workflows, including new library designs, the scale-up of combinatorially discovered materials, and innovative methods of data storage, data mining and informatics. It also points to active research in the development of intelligent software for data mining including multiparameter modeling and visualization.

As combinatorial materials science becomes increasingly applicable to a growing number of materials and problems, Combinatorial and High-Throughput Discovery and Optimization of Catalysts and Materials provides an essential portrait of the success, challenges, and opportunities in this field for the next generation of combinatorial chemists, materialscientists, and industrial chemists and academics.