Hierarchical Materials Informatics

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)

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  • Author : Surya R. Kalidindi
  • Publisher : Elsevier
  • Pages : 230 pages
  • ISBN : 012410455X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKHierarchical Materials Informatics

Hierarchical Materials Informatics

Hierarchical Materials Informatics
  • Author : Surya R. Kalidindi
  • Publisher : Elsevier
  • Release : 06 August 2015
GET THIS BOOKHierarchical Materials Informatics

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

Metallurgy and Design of Alloys with Hierarchical Microstructures

Metallurgy and Design of Alloys with Hierarchical Microstructures
  • Author : Krishnan K. Sankaran,Rajiv S. Mishra
  • Publisher : Elsevier
  • Release : 14 June 2017
GET THIS BOOKMetallurgy and Design of Alloys with Hierarchical Microstructures

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

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

Architecting Robust Co-Design of Materials, Products, and Manufacturing Processes
  • Author : Anand Balu Nellippallil,Janet K. Allen,B. P. Gautham,Amarendra K. Singh,Farrokh Mistree
  • Publisher : Springer Nature
  • Release : 13 June 2020
GET THIS BOOKArchitecting Robust Co-Design of Materials, Products, and Manufacturing Processes

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

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 : Anonim
  • Publisher : World Scientific
  • Release : 10 March 2020
GET THIS BOOKHandbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

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

Computational Materials System Design

Computational Materials System Design
  • Author : Dongwon Shin,James Saal
  • Publisher : Springer
  • Release : 10 November 2017
GET THIS BOOKComputational Materials System Design

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.

Materials Informatics

Materials Informatics
  • Author : Olexandr Isayev,Alexander Tropsha,Stefano Curtarolo
  • Publisher : John Wiley & Sons
  • Release : 14 August 2019
GET THIS BOOKMaterials Informatics

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

Nanoinformatics

Nanoinformatics
  • Author : Isao Tanaka
  • Publisher : Springer
  • Release : 15 January 2018
GET THIS BOOKNanoinformatics

This open access book brings out the state of the art on how informatics-based tools are used and expected to be used in nanomaterials research. There has been great progress in the area in which “big-data” generated by experiments or computations are fully utilized to accelerate discovery of new materials, key factors, and design rules. Data-intensive approaches play indispensable roles in advanced materials characterization. "Materials informatics" is the central paradigm in the new trend. "Nanoinformatics" is its essential subset, which

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,Steve Christensen,Surya Kalidindi,Alan A. Luo,Jonathan Madison,Dierk Raabe,Xin Sun
  • Publisher : John Wiley & Sons
  • Release : 08 May 2015
GET THIS BOOKProceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME)

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

Informatics for Materials Science and Engineering

Informatics for Materials Science and Engineering
  • Author : Krishna Rajan
  • Publisher : Butterworth-Heinemann
  • Release : 10 July 2013
GET THIS BOOKInformatics for Materials Science and Engineering

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

Integrated Design of Multiscale, Multifunctional Materials and Products

Integrated Design of Multiscale, Multifunctional Materials and Products
  • Author : David L. McDowell,Jitesh Panchal,Hae-Jin Choi,Carolyn Seepersad,Janet Allen,Farrokh Mistree
  • Publisher : Butterworth-Heinemann
  • Release : 30 September 2009
GET THIS BOOKIntegrated Design of Multiscale, Multifunctional Materials and Products

Integrated Design of Multiscale, Multifunctional Materials and Products is the first of its type to consider not only design of materials, but concurrent design of materials and products. In other words, materials are not just selected on the basis of properties, but the composition and/or microstructure iw designed to satisfy specific ranged sets of performance requirements. This book presents the motivation for pursuing concurrent design of materials and products, thoroughly discussing the details of multiscale modeling and multilevel robust

Scientific Modeling and Simulations

Scientific Modeling and Simulations
  • Author : Sidney Yip,Tomas Diaz Rubia
  • Publisher : Springer Science & Business Media
  • Release : 07 April 2010
GET THIS BOOKScientific Modeling and Simulations

Although computational modeling and simulation of material deformation was initiated with the study of structurally simple materials and inert environments, there is an increasing demand for predictive simulation of more realistic material structure and physical conditions. In particular, it is recognized that applied mechanical force can plausibly alter chemical reactions inside materials or at material interfaces, though the fundamental reasons for this chemomechanical coupling are studied in a material-speci c manner. Atomistic-level s- ulations can provide insight into the unit

Integrated Computational Materials Engineering (ICME) for Metals

Integrated Computational Materials Engineering (ICME) for Metals
  • Author : Mark F. Horstemeyer
  • Publisher : John Wiley & Sons
  • Release : 07 June 2012
GET THIS BOOKIntegrated Computational Materials Engineering (ICME) for Metals

State-of-the-technology tools for designing, optimizing, and manufacturing new materials Integrated computational materials engineering (ICME) uses computational materials science tools within a holistic system in order to accelerate materials development, improve design optimization, and unify design and manufacturing. Increasingly, ICME is the preferred paradigm for design, development, and manufacturing of structural products. Written by one of the world's leading ICME experts, this text delivers a comprehensive, practical introduction to the field, guiding readers through multiscale materials processing modeling and simulation with