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Author: Krishna Rajan
Publisher: Butterworth-Heinemann
ISBN: 012394614X
Category : Technology & Engineering
Languages : en
Pages : 542
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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
Author: Krishna Rajan
Publisher: Butterworth-Heinemann
ISBN: 012394614X
Category : Technology & Engineering
Languages : en
Pages : 542
Get Book Here
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
Author: Olexandr Isayev
Publisher: John Wiley & Sons
ISBN: 3527341218
Category : Technology & Engineering
Languages : en
Pages : 304
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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.
Author: Tongyi Zhang
Publisher: Springer
ISBN: 9789819979912
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. Volume I serves as an introduction, merging AI, ML, materials science, and engineering. It covers essential topics and algorithms in 11 chapters, including Linear Regression, Neural Networks, and more. Suitable for diverse fields like materials science, physics, and chemistry, it enables quick and easy learning of Materials Informatics for readers without prior AI and ML knowledge.
Author: Surya R. Kalidindi
Publisher: Elsevier
ISBN: 012410455X
Category : Technology & Engineering
Languages : en
Pages : 230
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Book Description
Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to cover unimaginably large dimensional spaces. Hierarchical Materials Informatics addresses objective, computationally efficient, mining of large ensembles of experimental and modeling datasets to extract this core materials knowledge. Furthermore, it aims to organize and present this high value knowledge in highly accessible forms to end users engaged in product design and design for manufacturing efforts. As such, this emerging field has a pivotal role in realizing the goals outlined in current strategic national initiatives such as the Materials Genome Initiative (MGI) and the Advanced Manufacturing Partnership (AMP). This book presents the foundational elements of this new discipline as it relates to the design, development, and deployment of hierarchical materials critical to advanced technologies. Addresses a critical gap in new materials research and development by presenting a rigorous statistical framework for the quantification of microstructure Contains several case studies illustrating the use of modern data analytic tools on microstructure datasets (both experimental and modeling)
Author: Krishna Rajan
Publisher: Elsevier Inc. Chapters
ISBN: 0128059311
Category : Technology & Engineering
Languages : en
Pages : 32
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Book Description
Studying structure–property relationships is an accepted paradigm in materials science, yet these relationships are often not linear and the challenge is to seek patterns among multiple length and time scales. There is rarely a single multiscale theory or experiment that can meaningfully and accurately capture such information. In this chapter we introduce the rationale as to why we need informatics by briefly summarizing the challenges of information complexity one has to deal with in material science, in order to systematically establish structure–property–processing relationships. Some of the concepts and topics to be covered in this book are introduced, including information networks, data mining, databases, and combinatorial experiments to mention a few. The value of “materials informatics” lies in its ability to permit one to survey complex, multiscale information in a high-throughput, statistically robust and yet physically meaningful manner.
Author: Joseph Glick
Publisher: Elsevier Inc. Chapters
ISBN: 0128059389
Category : Technology & Engineering
Languages : en
Pages : 49
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Book Description
The discipline of informatics emerged from the need to translate biomedical research into evidence-based healthcare protocols and policy. Materials science informatics is rooted in an analogous need to “translate” physical sciences research and discoveries into materials-based solutions to address a broad range of issues and challenges for business, government, and the environment. Ontologies and databases are key elements of translational architectures and therefore are fundamental tools of the practice of informatics. Databases are tools for engineering data and information, while ontologies are tools for engineering knowledge and utility. Since knowledge and utility are the core objectives of informatics, correctly understanding and utilizing ontologies is critical to the development of effective materials informatics programs and tools. Rooted in philosophy, the term ontology appears most frequently today in connection with semantic web technology, where it refers to vocabularies used by inference engines to interpret human use of language. Materials science ontologies need to capture the scientific context of the defined concepts to support modeling and prediction of multidimensional structure–property relationships in variable environments and applications. Addressing the complexity of materials science ontologies requires a significant departure from traditional database and semantic web ontology approaches, including the use of neural networks that are capable of implementing methods for modeling context, relevance, complex systems, and human expertise. Pioneering efforts in this space include the Knowledge Engineering for Nanoinformatics Pilot (KENI) launched by the Nanoinformatics Society in 2010, and a collaborative Materials Genome Modeling Methodology initiative led by Iowa State University and initiated in 2011.
Author: J. Gyulai
Publisher: Trans Tech Publications Ltd
ISBN: 3038130001
Category : Technology & Engineering
Languages : en
Pages : 520
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Book Description
Volume is indexed by Thomson Reuters CPCI-S (WoS). The series, Hungarian Conference and Exhibition on Materials Science, Testing and Informatics, was founded in order to provide a forum in which Hungarian and foreign scientists and research groups - interested in metals and alloys, silicates, polymers and composites - would have the opportunity to exchange and publish ideas and to establish new integrated partnerships. The 4th Hungarian Conference and Exhibition on Materials Science, Testing and Informatics was held on the Balaton lakeside, at Balatonfüred, October 12-14th , 2003.
Author: Tibor Berecz
Publisher: Trans Tech Publications Ltd
ISBN: 3038139076
Category : Technology & Engineering
Languages : en
Pages : 560
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Book Description
Selected, peer reviewed papers from the 8th Hungarian Conference on Materials Science, October 9-11, 2011, Balatonkenese, Hungary
Author: J. Gyulai
Publisher: Trans Tech Publications Ltd
ISBN: 3038131075
Category : Technology & Engineering
Languages : en
Pages : 750
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Book Description
Volume is indexed by Thomson Reuters CPCI-S (WoS). This collection includes state-of-the-art papers by scientists and research groups working in fields encompassing metals and alloys, silicates, polymers and composites.
Author: Péter János Szabó
Publisher: Trans Tech Publications Ltd
ISBN: 3038131679
Category : Technology & Engineering
Languages : en
Pages : 466
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Book Description
Volume is indexed by Thomson Reuters CPCI-S (WoS). This collection comprises state-of-the-art papers written by scientists and research groups working in fields encompassing metals and alloys, silicates, polymers and composites.