Download or read book Combinatorial Methods for High throughput Materials Science written by and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Combinatorial Methods for High throughput Materials Science written by and published by Curran Associates Incorporated. This book was released on 2008 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book High Throughput Analysis written by Radislav A. Potyrailo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Combinatorial Materials Synthesis written by Xiao-Dong Xiang and published by CRC Press. This book was released on 2003-08-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pioneered by the pharmaceutical industry and adapted for the purposes of materials science and engineering, the combinatorial method is now widely considered a watershed in the accelerated discovery, development, and optimization of new materials. Combinatorial Materials Synthesis reveals the gears behind combinatorial materials chemistry and thin-film technology, and discusses the prime techniques involved in synthesis and property determination for experimentation with a variety of materials. Funneling historic innovations into one source, the book explores core approaches to synthesis and rapid characterization techniques for work with combinatorial materials libraries.
Download or read book Combinatorial and High Throughput Discovery and Optimization of Catalysts and Materials written by Radislav A. Potyrailo and published by CRC Press. This book was released on 2006-07-19 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, Combina
Download or read book Combinatorial Materials Science written by Marc D. Porter and published by John Wiley & Sons. This book was released on 2007-08-17 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial Materials Science describes new developments and research results in catalysts, biomaterials, and nanomaterials, together with informatics approaches to the analysis of Combinatorial Science (CombiSci) data. CombiSci has been used extensively in the pharmaceutical industry, but there is enormous potential in its application to materials design and characterization. Addressing advances and applications in both fields, Combinatorial Materials Science: Integrates the scientific fundamentals and interdisciplinary underpinnings required to develop and apply CombiSci concepts Discusses the development and use of CombiSci for the systematic and accelerated investigation of new phenomena and of the complex structure-function interplay in materials Covers the development of new library design strategies for materials processing and for high-throughput tools for rapid sampling Uses a unique, unified approach of applying combinatorial methods to unravel the non-linear structure-function relationships in diverse materials (both hard and soft), together with advances in informatics With chapters written by leading researchers in their specialty areas, this authoritative guide is a must-have resource for scientists and engineers in materials science research, biochemists, chemists, immunologists, cell biologists, polymer scientists, chemical and mechanical engineers, statisticians, and computer scientists. It is also a great text for graduate-level courses in materials science/engineering, polymer science, chemical engineering, and chemistry.
Download or read book Combinatorial Methods and Informatics in Materials Science Volume 894 written by M. J. Fasolka and published by . This book was released on 2006-05-17 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combinatorial and high-throughput experimental approaches and related informatics, modeling and data-mining methods have permitted researchers to accelerate the pace at which new, complex materials and device systems are discovered, optimized and understood. Today, the development and application of these revolutionary approaches continue to grow and diversify. This book offers an international, interdisciplinary perspective for scientists and engineers interested in combinatorial, high-throughput and advanced informatics approaches to materials research. The range of disciplines includes materials science; chemistry; physics; electrical, chemical and mechanical engineering; materials modeling; and data systems engineering. Presentations share successful studies, and illuminate current and emerging challenges in areas including: the design and fabrication of combinatorial libraries for materials and devices; high-throughput characterization methods for such systems; automation of instrumentation and data analysis; advanced modeling and data mining techniques for rapid materials design and properties prediction; and data system design and software for combinatorial workflows.
Download or read book Combinatorial and High throughput Methods in Materials Science written by Materials Research Society. Fall Meeting Symposium UU. and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Combinatorial and Artificial Intelligence Methods in Materials Science II written by Radislav A. Potyrailo and published by Cambridge University Press. This book was released on 2014-06-05 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past two years, combinatorial and artificial intelligence methods in materials science have become more accepted as a means to synthesize, test, characterize, and predict promising candidate materials. These methods open up the exploration of multidimensional chemical composition and process parameter space at a previously unavailable level of detail and can rapidly optimize molecular properties and process conditions that are difficult to predict using existing knowledge. Scientists from academic, industrial and governmental laboratories worldwide come together here with interdisciplinary presentations that: identify gaps in cross-discipline knowledge that hinder further research; outline emerging development areas; and stimulate nontraditional solutions to difficult multidisciplinary problems in high-throughput materials research. Topics include: combinatorial approaches to electronics materials, polymers and coatings, and nanomaterials and catalysts; instrumentation and methods for high-throughput analysis; and library design, data management and informatics. In particular, the book demonstrates that combinatorial methods have matured in catalyst research. Several remarkable scale-up reports are presented signifying the power of this new scientific methodology.
Download or read book Combinatorial and High throughput Methods in Materials Science written by J. B. Miller and published by . This book was released on 2012 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Materials Science and Engineering written by James N. Cawse and published by Elsevier Inc. Chapters. This book was released on 2013-07-10 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design of combinatorial and high-throughput experiments has continued to build on the progress of the last two decades. New variations of factorial and mixture designs have expanded their capability. Increasing attention is being paid to adapting designs to the constraints of the physical apparatus, in the form of split-plot methods or conscious understanding of the statistical penalties to be paid. Rapidly increasing computer power has allowed the use of more sophisticated algorithmic designs and evolutionary methods. Finally, descriptor-based design and analysis of data is making steady progress and there are hopes of its reaching a mature state in the coming decade.
Download or read book Experimental Design for Combinatorial and High Throughput Materials Development written by James N. Cawse and published by Wiley-Interscience. This book was released on 2003 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: An invaluable reference to increasingly popular experimental methods In the past decade, combinatorial and high throughput experimental methods have revolutionized the pharmaceutical industry, allowing researchers to conduct more experiments in a week than was previously possible in a year. Now high throughput experimentation is rapidly spreading from its origins in the pharmaceutical world to larger industrial research establishments such as GE and DuPont, and even to smaller companies and universities. Consequently, researchers need to know the kinds of problems, desired outcomes, and appropriate patterns for these new strategies. Editor James Cawse's far-reaching study identifies and applies, with specific examples, these important new principles and techniques. Experimental Design for Combinatorial and High Throughput Materials Development progresses from methods that are now standard, such as gradient arrays, to mathematical developments that are breaking new ground. The former will be particularly useful to researchers entering the field, while the latter should inspire and challenge advanced practitioners. The book's contents are contributed by leading researchers in their respective fields. Chapters include: * High Throughput Synthetic Approaches for the Investigation of Inorganic Phase Space * Combinatorial Mapping of Polymer Blends Phase Behavior * Split-Plot Designs * Artificial Neural Networks in Catalyst Development * The Monte Carlo Approach to Library Design and Redesign The text also contains over 200 useful charts and drawings. Industrial chemists, chemical engineers, materials scientists, and physicists working in combinatorial and high throughput chemistry will find James Cawse's study to be an invaluable resource.
Download or read book Combinatorial Methods for Chemical and Biological Sensors written by Radislav A. Potyrailo and published by Springer Science & Business Media. This book was released on 2009-03-21 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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”.
Download or read book Combinatorial and Artificial Intelligence Methods in Materials Science written by and published by . This book was released on 2003 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Combinatorial Development of Solid Catalytic Materials written by Manfred Baerns and published by World Scientific. This book was released on 2009 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 OCo evolutionary optimization and artificial neural networks OCo 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 OCo 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. Sample Chapter(s). Chapter 1: Background of Combinatorial Catalyst Development (63 KB). Contents: Background of Combinatorial Catalyst Development (M Baerns); Approaches in the Development of Heterogeneous Catalysts (M Baerns); Mathematical Methods of Searching for Optimal Catalytic Materials (M Holena); Generating Problem-Tailored Genetic Algorithms for Catalyst Search (M Holena); Analysis and Mining of Data Collected in Catalytic Experiments (M Holena); Artificial Neural Networks in the Development of Catalytic Materials (M Holena); Tunning Evolutionary Algorithms with Artificial Neural Networks (M Holena); Improving Neural Network Approximations (M Holena); Applications of Combinatorial Catalyst Development and An Outlook on Future Work (M Baerns). Readership: Chemists and chemical engineers from academia and industry working in catalysis; materials scientists; graduate students dealing with catalytic chemistry interested in computer-aided methods.
Download or read book Combinatorial Materials Synthesis written by Xiao-Dong Xiang and published by CRC Press. This book was released on 2003-08-19 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pioneered by the pharmaceutical industry and adapted for the purposes of materials science and engineering, the combinatorial method is now widely considered a watershed in the accelerated discovery, development, and optimization of new materials. Combinatorial Materials Synthesis reveals the gears behind combinatorial materials chemistry and thin-film technology, and discusses the prime techniques involved in synthesis and property determination for experimentation with a variety of materials. Funneling historic innovations into one source, the book explores core approaches to synthesis and rapid characterization techniques for work with combinatorial materials libraries.
Download or read book Advances in Combinatorial Chemistry High Throughput Screening written by Rathnam Chaguturu and published by Bentham Science Publishers. This book was released on 2013-08-06 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Combinatorial Chemistry & High Throughput Screening, is an e-book series comprising updated research articles previously published in the impact factor journal, Combinatorial Chemistry & High Throughput Screening (CCHTS). A wide range of topics are covered by these articles including chemical biology, high throughput screening, combinatorial chemistry, chemoinformatics, laboratory automation and compound management. This series is, therefore, a testament to CCHTS contributions in advancing drug discovery on full throttle. This eBook series opens up a new avenue for rapid access for readers – including academic researchers and industry professionals - to a focused collection of highly regarded contributions in the field.