Data Analytics And What It Means To The Materials Community
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Data Analytics And What It Means To The Materials Community
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Author : National Academies of Sciences Engineering and Medicine
language : en
Publisher:
Release Date : 2021-09-12
Data Analytics And What It Means To The Materials Community written by National Academies of Sciences Engineering and Medicine and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-12 with categories.
Emerging techniques in data analytics, including machine learning and artificial intelligence, offer exciting opportunities for advancing scientific discovery and innovation in materials science. Vast repositories of experimental data and sophisticated simulations are being utilized to predict material properties, design and test new compositions, and accelerate nearly every facet of traditional materials science. How can the materials science community take advantage of these opportunities while avoiding potential pitfalls? What roadblocks may impede progress in the coming years, and how might they be addressed? To explore these issues, the Workshop on Data Analytics and What It Means to the Materials Community was organized as part of a workshop series on Defense Materials, Manufacturing, and Its Infrastructure. Hosted by the National Academies of Sciences, Engineering, and Medicine, the 2-day workshop was organized around three main topics: materials design, data curation, and emerging applications. Speakers identified promising data analytics tools and their achievements to date, as well as key challenges related to dealing with sparse data and filling data gaps; decisions around data storage, retention, and sharing; and the need to access, combine, and use data from disparate sources. Participants discussed the complementary roles of simulation and experimentation and explored the many opportunities for data informatics to increase the efficiency of materials discovery, design, and testing by reducing the amount of experimentation required. With an eye toward the ultimate goal of enabling applications, attendees considered how to ensure that the benefits of data analytics tools carry through the entire materials development process, from exploration to validation, manufacturing, and use. This publication summarizes the presentations and discussion of the workshop.
Data Analytics And What It Means To The Materials Community
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Author :
language : en
Publisher:
Release Date : 2021
Data Analytics And What It Means To The Materials Community written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Defense industries categories.
Statistical Methods For Materials Science
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Author : Jeffrey P. Simmons
language : en
Publisher: CRC Press
Release Date : 2019-02-13
Statistical Methods For Materials Science written by Jeffrey P. Simmons and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-13 with Technology & Engineering categories.
Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.
Thermal Process Modeling 2014
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Author : B. Lynn Ferguson, Robert Goldstein, Scott MacKenzie, and Rozalia Papp
language : en
Publisher: ASM International
Release Date : 2014-06-01
Thermal Process Modeling 2014 written by B. Lynn Ferguson, Robert Goldstein, Scott MacKenzie, and Rozalia Papp and has been published by ASM International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-01 with Electronic books categories.
Thermal processes are key manufacturing steps in producing durable and useful products, with solidification, welding, heat treating, and surface engineering being primary steps. These papers represent the latest state-of-the-art in thermal process modeling. The breadth of topics covers the depth of the industry.
Challenges And Applications Of Data Analytics In Social Perspectives
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Author : Sathiyamoorthi, V.
language : en
Publisher: IGI Global
Release Date : 2020-12-04
Challenges And Applications Of Data Analytics In Social Perspectives written by Sathiyamoorthi, V. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-04 with Computers categories.
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
Computational Materials System Design
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Author : Dongwon Shin
language : en
Publisher: Springer
Release Date : 2017-11-10
Computational Materials System Design written by Dongwon Shin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-10 with Technology & Engineering categories.
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.
Data Analytics
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Author : Juan J. Cuadrado-Gallego
language : en
Publisher: Springer Nature
Release Date : 2023-11-30
Data Analytics written by Juan J. Cuadrado-Gallego and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Computers categories.
Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools. Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond with 16 weeks of lessons, including both theoretical and practical exercises. Each chapter is dedicated to a lesson, allowing readers to dive deep into each topic with detailed explanations and examples. Readers will learn the theoretical concepts and then immediately apply them to practical exercises to reinforce their knowledge. And in the lab sessions, readers will learn the ins and outs of the R environment and data science methodology to solve exercises with the R language. With detailed solutions provided for all examples and exercises, readers can use this book to study and master data analytics on their own. Whether you're a student, professional, or simply curious about data analytics, this book is a must-have for anyone looking to expand their knowledge in this exciting field.
Community Empowerment Sustainable Cities And Transformative Economies
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Author : Taha Chaiechi
language : en
Publisher: Springer Nature
Release Date : 2022-01-12
Community Empowerment Sustainable Cities And Transformative Economies written by Taha Chaiechi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-12 with Political Science categories.
This edited volume presents the conference papers from the 1st International Conference on Business, Economics, Management, and Sustainability (BEMAS), organized by the Centre for International Trade and Business in Asia (CITBA) at James Cook University. This book argues that the orthodox methods of external risks, climate change adaptation plans, and sustainable economic growth in cities are no longer adequate. These methods, so far, have not only ignored the ongoing structural changes associated with economic development but also failed to account for evolving industries’ composition and the emergence of new comparative advantages and skills. Specifically, this book looks at the vulnerable communities and exposed areas, particularly in urban areas, that tend to experience higher susceptibility to external risks (such as climate change, natural disasters, and public health emergencies) have been largely ignored in incremental adaptation plans. Vulnerable communities and areas not only require different adaptive responses to climate risk but also possess unlocked adaptive capacity that can motivate different patterns of sustainable development to achieve the goals of the 2030 Agenda. It is essential, therefore, to view transformative growth and fundamental reorientation of economic resources as integral parts of the solution. Social disorganisation and vulnerability are other undesired outcomes of the unpredictable and widespread external economic shocks. This is due to a sudden and tough competition between members of society to acquire precious resources, most of which may be depleted during unprecedented events such as natural disasters or pandemics resulting in an even more chaotic and disorganised conditions.
Hierarchical Materials Informatics
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Author : Surya R. Kalidindi
language : en
Publisher: Elsevier
Release Date : 2015-08-06
Hierarchical Materials Informatics written by Surya R. Kalidindi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-06 with Technology & Engineering categories.
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)
Big Data In Materials Research And Development
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2014-10-22
Big Data In Materials Research And Development written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-22 with Technology & Engineering categories.
Big Data in Materials Research and Development is the summary of a workshop convened by the National Research Council Standing Committee on Defense Materials Manufacturing and Infrastructure in February 2014 to discuss the impact of big data on materials and manufacturing. The materials science community would benefit from appropriate access to data and metadata for materials development, processing, application development, and application life cycles. Currently, that access does not appear to be sufficiently widespread, and many workshop participants captured the constraints and identified potential improvements to enable broader access to materials and manufacturing data and metadata. This report discusses issues in defense materials, manufacturing and infrastructure, including data ownership and access; collaboration and exploitation of big data's capabilities; and maintenance of data.