Combinatorial And Artificial Intelligence Methods In Materials Science
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Combinatorial And Artificial Intelligence Methods In Materials Science
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Author :
language : en
Publisher:
Release Date : 2003
Combinatorial And Artificial Intelligence Methods In Materials Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Artificial intelligence categories.
Combinatorial And Artificial Intelligence Methods In Materials Science Ii Volume 804
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Author : Radislav A. Potyrailo
language : en
Publisher:
Release Date : 2004-03-22
Combinatorial And Artificial Intelligence Methods In Materials Science Ii Volume 804 written by Radislav A. Potyrailo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-22 with Computers categories.
The MRS Symposium Proceeding series is an internationally recognised reference suitable for researchers and practitioners.
Symposium
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Author : Ichirō Takeuchi
language : en
Publisher:
Release Date : 2002
Symposium written by Ichirō Takeuchi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Combinatorial And Artificial Intelligence Methods In Materials Science Ii
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Author : Radislav A. Potyrailo
language : en
Publisher: Cambridge University Press
Release Date : 2014-06-05
Combinatorial And Artificial Intelligence Methods In Materials Science Ii written by Radislav A. Potyrailo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-05 with Technology & Engineering categories.
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.
Computational Methods For Sensor Material Selection
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Author : Margaret A. Ryan
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-06
Computational Methods For Sensor Material Selection written by Margaret A. Ryan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-06 with Science categories.
Chemical vapor sensing arrays have grown in popularity over the past two decades, finding applications for tasks such as process control, environmental monitoring, and medical diagnosis. This is the first in-depth analysis of the process of choosing materials and components for these "electronic noses", with special emphasis on computational methods. For a view of component selection with an experimental perspective, readers may refer to the complementary volume of Integrated Microanalytical Systems entitled "Combinatorial Methodologies for Sensor Materials."
Combinatorial And High Throughput Discovery And Optimization Of Catalysts And Materials
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Author : Radislav A. Potyrailo
language : en
Publisher: CRC Press
Release Date : 2006-07-19
Combinatorial And High Throughput Discovery And Optimization Of Catalysts And Materials written by Radislav A. Potyrailo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-19 with Science categories.
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
Informatics For Materials Science And Engineering
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Author : Krishna Rajan
language : en
Publisher: Butterworth-Heinemann
Release Date : 2013-07-10
Informatics For Materials Science And Engineering written by Krishna Rajan and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-10 with Technology & Engineering categories.
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
Information Science For Materials Discovery And Design
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Author : Turab Lookman
language : en
Publisher: Springer
Release Date : 2015-12-12
Information Science For Materials Discovery And Design written by Turab Lookman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-12 with Technology & Engineering categories.
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.
Combinatorial And Artificial Intelligence Methods In Materials Science
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Author : Ichiro Takeuchi
language : en
Publisher:
Release Date : 2002-01-01
Combinatorial And Artificial Intelligence Methods In Materials Science written by Ichiro Takeuchi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Technology & Engineering categories.
Combinatorial And Artificial Intelligence Methods In Materials Science Ii
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Author : Radislav A. Potyrailo
language : en
Publisher:
Release Date : 2004
Combinatorial And Artificial Intelligence Methods In Materials Science Ii written by Radislav A. Potyrailo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.