Combinatorial Methods and Informatics in Materials Science: Volume 894

Combinatorial Methods and Informatics in Materials Science: Volume 894 PDF Author: M. J. Fasolka
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 390

Get Book

Book Description
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.

Combinatorial Methods and Informatics in Materials Science: Volume 894

Combinatorial Methods and Informatics in Materials Science: Volume 894 PDF Author: M. J. Fasolka
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 390

Get Book

Book Description
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.

Combinatorial Methods for Chemical and Biological Sensors

Combinatorial Methods for Chemical and Biological Sensors PDF Author: Radislav A. Potyrailo
Publisher: Springer Science & Business Media
ISBN: 0387737138
Category : Science
Languages : en
Pages : 495

Get Book

Book Description
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”.

Combinatorial and Artificial Intelligence Methods in Materials Science II:

Combinatorial and Artificial Intelligence Methods in Materials Science II: PDF Author: Radislav A. Potyrailo
Publisher: Cambridge University Press
ISBN: 9781107409255
Category : Technology & Engineering
Languages : en
Pages : 378

Get Book

Book Description
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.

Informatics for Materials Science and Engineering

Informatics for Materials Science and Engineering PDF Author: Krishna Rajan
Publisher: Butterworth-Heinemann
ISBN: 012394614X
Category : Technology & Engineering
Languages : en
Pages : 542

Get Book

Book Description
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

Autonomous Sensor Networks

Autonomous Sensor Networks PDF Author: Daniel Filippini
Publisher: Springer Science & Business Media
ISBN: 3642346480
Category : Science
Languages : en
Pages : 429

Get Book

Book Description
This volume surveys recent research on autonomous sensor networks from the perspective of enabling technologies that support medical, environmental and military applications. State of the art, as well as emerging concepts in wireless sensor networks, body area networks and ambient assisted living introduce the reader to the field, while subsequent chapters deal in depth with established and related technologies, which render their implementation possible. These range from smart textiles and printed electronic devices to implanted devices and specialized packaging, including the most relevant technological features. The last four chapters are devoted to customization, implementation difficulties and outlook for these technologies in specific applications.

Artificial Receptors for Chemical Sensors

Artificial Receptors for Chemical Sensors PDF Author: Vladimir M. Mirsky
Publisher: John Wiley & Sons
ISBN: 3527632506
Category : Technology & Engineering
Languages : en
Pages : 506

Get Book

Book Description
The first to provide systematically organized information on all three important aspects of artificial receptor design, this book brings together knowledge on an exceptionally hot and multidisciplinary field of research. Strong emphasis is placed on the methodology for discovering artificial receptors, with both definitions for chemosensitivity as well as experimental setups supplied. There follows coverage of numerous classes of artificial receptors, including synthesis, immobilization on surfaces, and quantitative data on properties. The third part of the book focuses on receptor arrays for artificial nose and tongue applications and the whole is rounded off with an outlook and an appendix with all relevant quantitative data on artificial receptors.

Progress in Semiconductor Materials V: Volume 891

Progress in Semiconductor Materials V: Volume 891 PDF Author: Linda J. Olafsen
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 672

Get Book

Book Description
The MRS Symposium Proceeding series is an internationally recognised reference suitable for researchers and practitioners.

Materials Informatics

Materials Informatics PDF Author: Olexandr Isayev
Publisher: John Wiley & Sons
ISBN: 3527341218
Category : Technology & Engineering
Languages : en
Pages : 304

Get Book

Book Description
Provides everything readers need to know for applying the power of informatics to materials science There is a tremendous interest in materials informatics and application of data mining to materials science. This book is a one-stop guide to the latest advances in these emerging fields. Bridging the gap between materials science and informatics, it introduces readers to up-to-date data mining and machine learning methods. It also provides an overview of state-of-the-art software and tools. Case studies illustrate the power of materials informatics in guiding the experimental discovery of new materials. Materials Informatics: Methods, Tools and Applications is presented in two parts?Methodological Aspects of Materials Informatics and Practical Aspects and Applications. The first part focuses on developments in software, databases, and high-throughput computational activities. Chapter topics include open quantum materials databases; the ICSD database; open crystallography databases; and more. The second addresses the latest developments in data mining and machine learning for materials science. Its chapters cover genetic algorithms and crystal structure prediction; MQSPR modeling in materials informatics; prediction of materials properties; amongst others. -Bridges the gap between materials science and informatics -Covers all the known methodologies and applications of materials informatics -Presents case studies that illustrate the power of materials informatics in guiding the experimental quest for new materials -Examines the state-of-the-art software and tools being used today Materials Informatics: Methods, Tools and Applications is a must-have resource for materials scientists, chemists, and engineers interested in the methods of materials informatics.

GaN, AIN, InN and Related Materials: Volume 892

GaN, AIN, InN and Related Materials: Volume 892 PDF Author: Martin Kuball
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 896

Get Book

Book Description
The MRS Symposium Proceeding series is an internationally recognised reference suitable for researchers and practitioners.

Soft Matter Gradient Surfaces

Soft Matter Gradient Surfaces PDF Author: Jan Genzer
Publisher: John Wiley & Sons
ISBN: 1118166078
Category : Technology & Engineering
Languages : en
Pages : 539

Get Book

Book Description
A comprehensive look at the latest advances in soft material gradients Tremendous progress has been made in the field of surface-bound soft material gradients in recent years, with intriguing new areas of investigation opening up and advances in bioanalytics changing the way high-throughput screening methods are used in the design and discovery of catalysts and new materials. This volume provides the first complete, up-to-date summary of the progress in this field, showing readers how to harness the powerful properties of soft matter gradients in the design and development of modern functional materials. Contributed chapters from experts in diverse fields help bridge areas of materials science, chemistry, and biomaterials, covering fabrication techniques, gradients in self-assembled monolayers, polymer gradients, dynamic gradient structures, structure and assembly, mechanical properties, sensors, biomaterial applications, protein adsorption, and organization of cells on gradient surfaces. Readers will learn how to implement the techniques described in the book in their own work, while improving efficacy and lowering research and production costs. Soft Matter Gradient Surfaces is an invaluable resource for chemists, physicists, biologists, and engineers, and anyone who would like to take advantage of these unique soft matter building blocks.