Hierarchical Materials Informatics

Hierarchical Materials Informatics

Author: Surya R. Kalidindi

Publisher: Elsevier

Published: 2015-08-06

Total Pages: 230

ISBN-13: 012410455X

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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)


Book Synopsis Hierarchical Materials Informatics by : Surya R. Kalidindi

Download or read book Hierarchical Materials Informatics written by Surya R. Kalidindi and published by Elsevier. This book was released on 2015-08-06 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)

Metallurgy and Design of Alloys with Hierarchical Microstructures

Metallurgy and Design of Alloys with Hierarchical Microstructures

Author: Krishnan K. Sankaran

Publisher: Elsevier

Published: 2017-06-14

Total Pages: 506

ISBN-13: 0128120258

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Metallurgy and Design of Alloys with Hierarchical Microstructures covers the fundamentals of processing-microstructure-property relationships and how multiple properties are balanced and optimized in materials with hierarchical microstructures widely used in critical applications. The discussion is based principally on metallic materials used in aircraft structures; however, because they have sufficiently diverse microstructures, the underlying principles can easily be extended to other materials systems. With the increasing microstructural complexity of structural materials, it is important for students, academic researchers and practicing engineers to possess the knowledge of how materials are optimized and how they will behave in service. The book integrates aspects of computational materials science, physical metallurgy, alloy design, process design, and structure-properties relationships, in a manner not done before. It fills a knowledge gap in the interrelationships of multiple microstructural and deformation mechanisms by applying the concepts and tools of designing microstructures for achieving combinations of engineering properties—such as strength, corrosion resistance, durability and damage tolerance in multi-component materials—used for critical structural applications. Discusses the science behind the properties and performance of advanced metallic materials Provides for the efficient design of materials and processes to satisfy targeted performance in materials and structures Enables the selection and development of new alloys for specific applications based upon evaluation of their microstructure as illustrated in this work


Book Synopsis Metallurgy and Design of Alloys with Hierarchical Microstructures by : Krishnan K. Sankaran

Download or read book Metallurgy and Design of Alloys with Hierarchical Microstructures written by Krishnan K. Sankaran and published by Elsevier. This book was released on 2017-06-14 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metallurgy and Design of Alloys with Hierarchical Microstructures covers the fundamentals of processing-microstructure-property relationships and how multiple properties are balanced and optimized in materials with hierarchical microstructures widely used in critical applications. The discussion is based principally on metallic materials used in aircraft structures; however, because they have sufficiently diverse microstructures, the underlying principles can easily be extended to other materials systems. With the increasing microstructural complexity of structural materials, it is important for students, academic researchers and practicing engineers to possess the knowledge of how materials are optimized and how they will behave in service. The book integrates aspects of computational materials science, physical metallurgy, alloy design, process design, and structure-properties relationships, in a manner not done before. It fills a knowledge gap in the interrelationships of multiple microstructural and deformation mechanisms by applying the concepts and tools of designing microstructures for achieving combinations of engineering properties—such as strength, corrosion resistance, durability and damage tolerance in multi-component materials—used for critical structural applications. Discusses the science behind the properties and performance of advanced metallic materials Provides for the efficient design of materials and processes to satisfy targeted performance in materials and structures Enables the selection and development of new alloys for specific applications based upon evaluation of their microstructure as illustrated in this work

Materials Informatics and Catalysts Informatics

Materials Informatics and Catalysts Informatics

Author: Keisuke Takahashi

Publisher: Springer Nature

Published:

Total Pages: 301

ISBN-13: 9819702178

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Book Synopsis Materials Informatics and Catalysts Informatics by : Keisuke Takahashi

Download or read book Materials Informatics and Catalysts Informatics written by Keisuke Takahashi and published by Springer Nature. This book was released on with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes

Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes

Author: Anand Balu Nellippallil

Publisher: Springer Nature

Published: 2020-06-13

Total Pages: 368

ISBN-13: 3030453243

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This book explores systems-based, co-design, introducing a “Decision-Based, Co-Design” (DBCD) approach for the co-design of materials, products, and processes. In recent years there have been significant advances in modeling and simulation of material behavior, from the smallest atomic scale to the macro scale. However, the uncertainties associated with these approaches and models across different scales need to be addressed to enable decision-making resulting in designs that are robust, that is, relatively insensitive to uncertainties. An approach that facilitates co-design is needed across material, product design and manufacturing processes. This book describes a cloud-based platform to support decisions in the design of engineered systems (CB-PDSIDES), which feature an architecture that promotes co-design through the servitization of decision-making, knowledge capture and use templates that allow previous solutions to be reused. Placing the platform in the cloud aids mass collaboration and open innovation. A valuable reference resource reference on all areas related to the design of materials, products and processes, the book appeals to material scientists, design engineers and all those involved in the emerging interdisciplinary field of integrated computational materials engineering (ICME).


Book Synopsis Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes by : Anand Balu Nellippallil

Download or read book Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes written by Anand Balu Nellippallil and published by Springer Nature. This book was released on 2020-06-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores systems-based, co-design, introducing a “Decision-Based, Co-Design” (DBCD) approach for the co-design of materials, products, and processes. In recent years there have been significant advances in modeling and simulation of material behavior, from the smallest atomic scale to the macro scale. However, the uncertainties associated with these approaches and models across different scales need to be addressed to enable decision-making resulting in designs that are robust, that is, relatively insensitive to uncertainties. An approach that facilitates co-design is needed across material, product design and manufacturing processes. This book describes a cloud-based platform to support decisions in the design of engineered systems (CB-PDSIDES), which feature an architecture that promotes co-design through the servitization of decision-making, knowledge capture and use templates that allow previous solutions to be reused. Placing the platform in the cloud aids mass collaboration and open innovation. A valuable reference resource reference on all areas related to the design of materials, products and processes, the book appeals to material scientists, design engineers and all those involved in the emerging interdisciplinary field of integrated computational materials engineering (ICME).

Computational Materials System Design

Computational Materials System Design

Author: Dongwon Shin

Publisher: Springer

Published: 2017-11-10

Total Pages: 233

ISBN-13: 3319682806

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This book provides state-of-the-art computational approaches for accelerating materials discovery, synthesis, and processing using thermodynamics and kinetics. The authors deliver an overview of current practical computational tools for materials design in the field. They describe ways to integrate thermodynamics and kinetics and how the two can supplement each other.


Book Synopsis Computational Materials System Design by : Dongwon Shin

Download or read book Computational Materials System Design written by Dongwon Shin and published by Springer. This book was released on 2017-11-10 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides state-of-the-art computational approaches for accelerating materials discovery, synthesis, and processing using thermodynamics and kinetics. The authors deliver an overview of current practical computational tools for materials design in the field. They describe ways to integrate thermodynamics and kinetics and how the two can supplement each other.

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

Author:

Publisher: World Scientific

Published: 2020-03-10

Total Pages: 1001

ISBN-13: 9811204586

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This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.


Book Synopsis Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) by :

Download or read book Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) written by and published by World Scientific. This book was released on 2020-03-10 with total page 1001 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.

Machine Learning in Molecular Sciences

Machine Learning in Molecular Sciences

Author: Chen Qu

Publisher: Springer Nature

Published: 2023-11-02

Total Pages: 323

ISBN-13: 3031371968

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Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences.


Book Synopsis Machine Learning in Molecular Sciences by : Chen Qu

Download or read book Machine Learning in Molecular Sciences written by Chen Qu and published by Springer Nature. This book was released on 2023-11-02 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. This book presents recent machine learning applications in the broad research field of molecular sciences. Written by an international group of renowned experts, this edited volume covers both the machine learning methodologies and state-of-the-art machine learning applications in a wide range of topics in molecular sciences, from electronic structure theory to nuclear dynamics of small molecules, to the design and synthesis of large organic and biological molecules. This book is a valuable resource for researchers and students interested in applying machine learning in the research of molecular sciences.

Horizons in Materials

Horizons in Materials

Author: Nicola Maria Pugno

Publisher: Frontiers Media SA

Published: 2022-08-23

Total Pages: 189

ISBN-13: 2889761630

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The Frontiers in Materials Editorial Office team are delighted to present the “Horizons in Materials” article collection, showcasing high-impact, authoritative, and accessible Review articles covering important topics at the forefront of the materials science and engineering field. All contributing authors were nominated by the Chief Editors and Editorial Office in recognition of their prominence and influence in their respective fields. The cutting-edge work presented in this article collection highlights the diversity of research performed across the entire breadth of the materials science and engineering field and reflects on the latest advances in theory, experiment, and methodology with applications to compelling problems. This Editorial features the corresponding author(s) of each paper published within this important collection, ordered by section alphabetically, highlighting them as the great researchers of the future. The Frontiers in Materials Chief Editors and Editorial Office team would like to thank each researcher who contributed their work to this collection. We are excited to see each article gain the deserved visibility and traction within the wider community, ensuring the collection’s truly global impact and success. Emily Young Journal Manager


Book Synopsis Horizons in Materials by : Nicola Maria Pugno

Download or read book Horizons in Materials written by Nicola Maria Pugno and published by Frontiers Media SA. This book was released on 2022-08-23 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Frontiers in Materials Editorial Office team are delighted to present the “Horizons in Materials” article collection, showcasing high-impact, authoritative, and accessible Review articles covering important topics at the forefront of the materials science and engineering field. All contributing authors were nominated by the Chief Editors and Editorial Office in recognition of their prominence and influence in their respective fields. The cutting-edge work presented in this article collection highlights the diversity of research performed across the entire breadth of the materials science and engineering field and reflects on the latest advances in theory, experiment, and methodology with applications to compelling problems. This Editorial features the corresponding author(s) of each paper published within this important collection, ordered by section alphabetically, highlighting them as the great researchers of the future. The Frontiers in Materials Chief Editors and Editorial Office team would like to thank each researcher who contributed their work to this collection. We are excited to see each article gain the deserved visibility and traction within the wider community, ensuring the collection’s truly global impact and success. Emily Young Journal Manager

Homogenization and materials design of mechanical properties of textured materials based on zeroth-, first- and second-order bounds of linear behavior

Homogenization and materials design of mechanical properties of textured materials based on zeroth-, first- and second-order bounds of linear behavior

Author: Lobos Fernández, Mauricio

Publisher: KIT Scientific Publishing

Published: 2018-07-09

Total Pages: 224

ISBN-13: 3731507706

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Book Synopsis Homogenization and materials design of mechanical properties of textured materials based on zeroth-, first- and second-order bounds of linear behavior by : Lobos Fernández, Mauricio

Download or read book Homogenization and materials design of mechanical properties of textured materials based on zeroth-, first- and second-order bounds of linear behavior written by Lobos Fernández, Mauricio and published by KIT Scientific Publishing. This book was released on 2018-07-09 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME)

Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME)

Author: Warren Poole

Publisher: John Wiley & Sons

Published: 2015-05-08

Total Pages: 394

ISBN-13: 111913952X

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This book represents a collection of papers presented at the 3rd World Congress on Integrated Computational Materials Engineering (ICME), a specialty conference organized by The Minerals, Metals & Materials Society (TMS), and held in Colorado Springs, Colorado, May 31 - June 4, 2015. This meeting convened ICME stakeholders to examine topics relevant to the global advancement of ICME as an engineering discipline. The 42 papers presented in these proceedings are divided into six sections: (1) ICME Applications; (2) ICME Building Blocks; (3) ICME Success Stories and Applications (4) Integration of ICME Building Blocks: Multi-scale Modeling; (5) Modeling, Data and Infrastructure Tools, and (6) Process Optimization. The papers represent a cross section of the presentations and discussions from the conference. These papers are intended to further the global implementation of ICME, broaden the variety of applications to which ICME is applied, and ultimately help industry design and produce new materials more efficiently and effectively.


Book Synopsis Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME) by : Warren Poole

Download or read book Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME) written by Warren Poole and published by John Wiley & Sons. This book was released on 2015-05-08 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents a collection of papers presented at the 3rd World Congress on Integrated Computational Materials Engineering (ICME), a specialty conference organized by The Minerals, Metals & Materials Society (TMS), and held in Colorado Springs, Colorado, May 31 - June 4, 2015. This meeting convened ICME stakeholders to examine topics relevant to the global advancement of ICME as an engineering discipline. The 42 papers presented in these proceedings are divided into six sections: (1) ICME Applications; (2) ICME Building Blocks; (3) ICME Success Stories and Applications (4) Integration of ICME Building Blocks: Multi-scale Modeling; (5) Modeling, Data and Infrastructure Tools, and (6) Process Optimization. The papers represent a cross section of the presentations and discussions from the conference. These papers are intended to further the global implementation of ICME, broaden the variety of applications to which ICME is applied, and ultimately help industry design and produce new materials more efficiently and effectively.