Hierarchical Materials Informatics

Download or Read online Hierarchical Materials Informatics full in PDF, ePub and kindle. This book written by Surya R. Kalidindi and published by Elsevier which was released on 06 August 2015 with total pages 230. We cannot guarantee that Hierarchical Materials Informatics book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Hierarchical Materials Informatics
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Publisher : Elsevier
Release Date :
ISBN : 9780124104556
Pages : 230 pages
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Download or Read Online Hierarchical Materials Informatics in PDF, Epub and Kindle

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)

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,

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Metallurgy 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

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Architecting 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

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Computational 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.

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Handbook 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

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

Download or read online 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, published by KIT Scientific Publishing which was released on 2018-07-09. Get Homogenization and materials design of mechanical properties

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Materials 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

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Scientific 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

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Proceedings 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

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Integrated 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

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Advances in Computational Plasticity

This book brings together some 20 chapters on state-of-the-art research in the broad field of computational plasticity with applications in civil and mechanical engineering, metal forming processes, geomechanics, nonlinear structural analysis, composites, biomechanics and multi-scale analysis of materials, among others. The chapters are written by world leaders in the different fields

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Integrated 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

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Informatics 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

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Laser Induced Damage in Optical Materials

Download or read online Laser Induced Damage in Optical Materials written by Anonim, published by Unknown which was released on 2007. Get Laser Induced Damage in Optical Materials Books now! Available in PDF, ePub and Kindle.

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Data Intensive Science

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Br

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