Machine Learning Applied To Composite Materials

Author : Vinod Kushvaha
Publisher : Springer Nature
ISBN 13 : 9811962782
Total Pages : 202 pages
Book Rating : 4.83/5 ( download)

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Download or read book Machine Learning Applied to Composite Materials written by Vinod Kushvaha and published by Springer Nature. This book was released on 2022-11-29 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of material composite modelling and design.

Author : Haotian Feng
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.76/5 ( download)

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Download or read book Machine Learning for Composite Material Analysis and Optimization written by Haotian Feng and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: My PhD research aims to develop Machine Learning methods for the analysis and optimization of composite materials. Specifically, I focus on two key areas: composite material property prediction and composite material optimization. To enhance the accuracy of Machine Learning models in composite material prediction, I explore the incorporation of practical knowledge into the Machine Learning framework, which can be achieved through various approaches such as input layer, Neural Network, or loss function. My research demonstrates that incorporating existing knowledge can improve the prediction accuracy of Machine Learning models, which can be applied to both data-based and function-based machine learning problems. In addition to prediction, I also investigate optimization strategies for discovering optimal composite material designs using Machine Learning. These findings highlight the great potential of Machine Learning in composite material analysis and offer insights for future research in other applications such as medical image analysis, timeseries data analysis, and image segmentation and classification.

Author : Igor Kononenko
Publisher : Horwood Publishing
ISBN 13 : 9781904275213
Total Pages : 484 pages
Book Rating : 4.14/5 ( download)

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Download or read book Machine Learning and Data Mining written by Igor Kononenko and published by Horwood Publishing. This book was released on 2007-04-30 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. Written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable foradvanced undergraduates, postgraduates and tutors in a wide area of computer science and technology, as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to libraries and bookshelves of the many companies who are using the principles of data mining to effectively deliver solid business and industry solutions.

Author : Akarsh Verma
Publisher : Springer Nature
ISBN 13 : 9819721040
Total Pages : 385 pages
Book Rating : 4.47/5 ( download)

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Download or read book Hybrid Composite Materials written by Akarsh Verma and published by Springer Nature. This book was released on with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : S.M. Sapuan
Publisher : CRC Press
ISBN 13 : 1420093339
Total Pages : 372 pages
Book Rating : 4.39/5 ( download)

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Download or read book Composite Materials Technology written by S.M. Sapuan and published by CRC Press. This book was released on 2009-12-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amount of published literature on the subject.Compiling in

Author : Ashok N. Srivastava
Publisher : CRC Press
ISBN 13 : 1439841799
Total Pages : 489 pages
Book Rating : 4.92/5 ( download)

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Download or read book Machine Learning and Knowledge Discovery for Engineering Systems Health Management written by Ashok N. Srivastava and published by CRC Press. This book was released on 2016-04-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Author : Akshansh Mishra
Publisher : CRC Press
ISBN 13 : 1040154263
Total Pages : 215 pages
Book Rating : 4.67/5 ( download)

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Download or read book Sustainable Materials written by Akshansh Mishra and published by CRC Press. This book was released on 2024-10-25 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.

Author : Yuan Cheng
Publisher : Springer Nature
ISBN 13 : 3030683109
Total Pages : 231 pages
Book Rating : 4.08/5 ( download)

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Download or read book Artificial Intelligence for Materials Science written by Yuan Cheng and published by Springer Nature. This book was released on 2021-03-26 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.

Author : Nirav Joshi
Publisher : Springer Nature
ISBN 13 : 9819903939
Total Pages : 306 pages
Book Rating : 4.31/5 ( download)

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Download or read book Machine Learning for Advanced Functional Materials written by Nirav Joshi and published by Springer Nature. This book was released on 2023-05-22 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.

Author : Kamal K. Kar
Publisher : Springer
ISBN 13 : 3662495147
Total Pages : 694 pages
Book Rating : 4.48/5 ( download)

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Download or read book Composite Materials written by Kamal K. Kar and published by Springer. This book was released on 2016-10-14 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: Composite materials are used as substitutions of metals/traditional materials in aerospace, automotive, civil, mechanical and other industries. The present book collects the current knowledge and recent developments in the characterization and application of composite materials. To this purpose the volume describes the outstanding properties of this class of advanced material which recommend it for various industrial applications.