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 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 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 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 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 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 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 Catalysis and High Throughput Catalyst Design and Testing written by E.G. Derouane and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Catalysts are central in modern industrial chemistry and there is an urgent need to develop new catalysts. Such a rapid pace of development brings with it a new set of challenges at all levels of research, from synthesis and characterization to testing and modelling. This book reviews the current status of combinatorial catalysis, scientific catalyst design techniques, methods for preparing inorganic combinatorial libraries, experimental design methods, data processing, system modelling an simulation, and catalyst testing. The individual contributions reveal the development of high throughput catalyst design and test methods and identify the main challenges in the field, including new catalyst preparation techniques, rapid performance evaluation, and new microreactor configurations. Readership: All those working in catalytic process analysis and development. The extensive review of catalysis principles is especially relevant for postgraduate students seeking to pursue studies in catalysis.
Download or read book Information Science for Materials Discovery and Design written by Turab Lookman and published by Springer. This book was released on 2015-12-12 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a “fourth leg’’ to our toolkit to make the “Materials Genome'' a reality, the science of Materials Informatics.
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 Materiomics written by Jan de Boer and published by Cambridge University Press. This book was released on 2013-05-02 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete, yet concise, introduction to the rapidly developing field of high throughput screening of biomaterials.
Download or read book Materials Science and Engineering written by Radislav Potyrailo and published by Elsevier Inc. Chapters. This book was released on 2013-07-10 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensing materials play a critical role in advancing selectivity, response speed, and sensitivity of gas determinations with sensors. The desirable capabilities of sensing materials originate from their numerous functional parameters, which can be tailored to meet specific sensing needs. By increasing the structural and functional complexity of sensing materials, the ability to rationally define the precise requirements that will result in desired materials properties becomes increasingly limited. Combinatorial experimentation methodologies impact all areas of sensing materials research. This chapter demonstrates the broad applicability of combinatorial technologies in discovery and optimization of new sensing materials for gas detection. We discuss general principles of combinatorial materials screening, followed by the discussion of the opportunities facilitated by combinatorial technologies for discovery and optimization of new sensing materials. We further critically analyze results of sensing materials development using discrete and gradient materials arrays. The emphasis of this chapter is on the analysis of results focused on the improvements of sensor selectivity and long-term stability of sensing materials. Examples from a wide variety of sensors based on various energy-transduction principles that involve radiant, mechanical, and electrical types of energy demonstrate the impact of combinatorial methodologies across diverse kinds of sensing materials.
Download or read book Combinatorial Materials Development written by Ripudaman Malhotra and published by . This book was released on 2002 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text examines the four main areas of combinatorial approaches as applied to materials development - parallel synthesis, high-throughput screening, robotics, and informatics. In light of recent successes in applying combinatorial approaches to the development of new optical and magnetic materials this book will be an important resource in this field.
Download or read book Journal of Research of the National Institute of Standards and Technology written by and published by . This book was released on 2004 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reports NIST research and development in the physical and engineering sciences in which the Institute is active. These include physics, chemistry, engineering, mathematics, and computer sciences. Emphasis on measurement methodology and the basic technology underlying standardization.
Download or read book Informatics for Materials Science and Engineering written by Krishna Rajan and published by Butterworth-Heinemann. This book was released on 2013-07-10 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Materials informatics: a ‘hot topic’ area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis. The discovery and maturation of new materials has been outpaced by the thicket of data created by new combinatorial and high throughput analytical techniques. The elaboration of this "quantitative avalanche"—and the resulting complex, multi-factor analyses required to understand it—means that interest, investment, and research are revisiting informatics approaches as a solution. This work, from Krishna Rajan, the leading expert of the informatics approach to materials, seeks to break down the barriers between data management, quality standards, data mining, exchange, and storage and analysis, as a means of accelerating scientific research in materials science. This solutions-based reference synthesizes foundational physical, statistical, and mathematical content with emerging experimental and real-world applications, for interdisciplinary researchers and those new to the field. Identifies and analyzes interdisciplinary strategies (including combinatorial and high throughput approaches) that accelerate materials development cycle times and reduces associated costs Mathematical and computational analysis aids formulation of new structure-property correlations among large, heterogeneous, and distributed data sets Practical examples, computational tools, and software analysis benefits rapid identification of critical data and analysis of theoretical needs for future problems
Download or read book A review on high throughput development of high entropy alloys by combinatorial methods written by Shahryar Mooraj and published by OAE Publishing Inc.. This book was released on 2023-03-17 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-entropy alloys (HEAs) are an emerging class of alloys with multi-principal elements that greatly expands the compositional space for advanced alloy design. Besides chemistry, processing history can also affect the phase and microstructure formation in HEAs. The number of possible alloy compositions and processing paths gives rise to enormous material design space, which makes it challenging to explore by traditional trial-and-error approaches. This review highlights the progress in combinatorial high-throughput studies towards rapid prediction, manufacturing, and characterization of promising HEA compositions. This review begins with an introduction to HEAs and their unique properties. Then, this review describes high-throughput computational methods such as machine learning that can predict desired alloy compositions from hundreds or even thousands of candidates. The next section presents advances in combinatorial synthesis of material libraries by additive manufacturing for efficient development of high-performance HEAs at bulk scale. The final section discusses the high-throughput characterization techniques used to accelerate the material property measurements for systematic understanding of the composition-processing-structure-property relationships in combinatorial HEA libraries.
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.
