Artificial Intelligence-Aided Materials Design

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Author :
Publisher : CRC Press
ISBN 13 : 1000541339
Total Pages : 363 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence-Aided Materials Design by : Rajesh Jha

Download or read book Artificial Intelligence-Aided Materials Design written by Rajesh Jha and published by CRC Press. This book was released on 2022-03-15 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including hard and soft magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the MATLAB® and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers to develop predictive models through AI/ML algorithms by writing their own computer code or using resources where they do not have to write code Covers downloadable resources such as MATLAB GUI/APP and Python implementation that can be used on common mobile devices Discusses the CALPHAD approach and ways to use data generated from it Features a chapter on metallurgical/materials concepts to help readers understand the case studies and thus proper implementation of AI/ML algorithms under the framework of data-driven materials science Uses case studies to examine the importance of using unsupervised machine learning algorithms in determining patterns in datasets This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials.

Artificial Intelligence driven Materials Design

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Author :
Publisher : Springer
ISBN 13 : 9789811922619
Total Pages : 0 pages
Book Rating : 4.9/5 (226 download)

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Book Synopsis Artificial Intelligence driven Materials Design by : Piyush Tagade

Download or read book Artificial Intelligence driven Materials Design written by Piyush Tagade and published by Springer. This book was released on 2024-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the application of machine learning and deep learning to Materials Design. Traditional materials design relies on a trial and error based iterative approach towards attaining target material properties often interspersed with accidental discoveries. This approach is very time consuming as both processing/fabrication, characterization of new compositions/structures are quite laborious. The field of machine learning and deep learning can greatly benefit expediting this approach by narrowing down the search space and reducing the number of compounds/structures that are explored in the lab. This book covers the fundamentals of how one goes about applying Artificial Intelligence to materials design followed by specific examples. The book contains 4 sections. In the first section, fundamentals of AI, materials structure representation/digitization and theoretical framework are discussed. In the second section, materials optimization using evolutionary algorithms is discussed. In the third section, application of AI for forward prediction, i.e., given a material structure, how to predict properties, is considered. In the fourth section, we cover inverse prediction or inverse materials design, that is, predicting materials/structures with target properties. The inverse design of materials is an emerging field of materials design and the techniques we present are very novel. We provide examples from both organic and inorganic materials space with diverse fields of applications. The book includes sample codes for these example problems to help readers gain hands-on experience. ​

Computer-Aided Materials Selection During Structural Design

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Author :
Publisher : National Academies Press
ISBN 13 : 0309587670
Total Pages : 84 pages
Book Rating : 4.3/5 (95 download)

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Book Synopsis Computer-Aided Materials Selection During Structural Design by : Committee on Application of Expert Systems to Materials Selection During Structural Design

Download or read book Computer-Aided Materials Selection During Structural Design written by Committee on Application of Expert Systems to Materials Selection During Structural Design and published by National Academies Press. This book was released on 1995-04-17 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: The selection of the proper materials for a structural component is a critical activity that is governed by many, often conflicting factors. Incorporating materials expert systems into CAD/CAM operations could assist designers by suggesting potential manufacturing processes for particular products to facilitate concurrent engineering, recommending various materials for a specific part based on a given set of characteristics, or proposing possible modifications of a design if suitable materials for a particular part do not exist. This book reviews the structural design process, determines the elements, and capabilities required for a materials selection expert system to assist design engineers, and recommends the areas of expert system and materials modeling research and development required to devise a materials-specific design system.

Artificial Intelligence in Engineering Design

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Author :
Publisher : Elsevier
ISBN 13 : 0080926029
Total Pages : 388 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Artificial Intelligence in Engineering Design by : Christopher Tong

Download or read book Artificial Intelligence in Engineering Design written by Christopher Tong and published by Elsevier. This book was released on 2012-12-02 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Engineering Design is a three volume edited collection of key papers from the field of artificial intelligence and design, aimed at providing a description of the field, and focusing on how ideas and methods from artifical intelligence can help engineers in the design of physical artifacts and processes. The book surveys a wide variety of applications in the areas of civil, mechanical, chemical, VLSI, electrical, and computer engineering. The contributors are from leading academic computer-aided design centers as well as from industry.

Data-Based Methods for Materials Design and Discovery

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Author :
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681737388
Total Pages : 190 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Data-Based Methods for Materials Design and Discovery by : Ghanshyam Pilania

Download or read book Data-Based Methods for Materials Design and Discovery written by Ghanshyam Pilania and published by Morgan & Claypool Publishers. This book was released on 2020-03-06 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.

Computer Aided Innovation of New Materials

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Author :
Publisher : Elsevier
ISBN 13 : 0444597336
Total Pages : 1009 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Computer Aided Innovation of New Materials by : J. Kihara

Download or read book Computer Aided Innovation of New Materials written by J. Kihara and published by Elsevier. This book was released on 2012-12-02 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together the experience of specialists in the entire field of applications of Materials Science. The volume contains 196 of the excellent papers presented at the conference. This multidisciplinary meeting was held to bring together workers in a wide range of materials science and engineering activities who employ common analytical and experimental methods in their day to day work. The results of the meeting are of worldwide interest, and will help to stimulate future research and analysis in this area.

Additive Manufacturing for Biocomposites and Synthetic Composites

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Author :
Publisher : CRC Press
ISBN 13 : 1003817939
Total Pages : 267 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Additive Manufacturing for Biocomposites and Synthetic Composites by : M. T. Mastura

Download or read book Additive Manufacturing for Biocomposites and Synthetic Composites written by M. T. Mastura and published by CRC Press. This book was released on 2023-12-27 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive Manufacturing for Bio-Composites and Synthetic Composites focuses on processes, engineering, and product design applications of bio-composites and synthetic composites in additive manufacturing (AM). It discusses the preparation and material characterization and selection, as well as future opportunities and challenges. Reviews the latest research on the development of composites for AM and the preparation of composite feedstocks. Offers an analytical and statistical approach for the selection of composites for AM, including characterization of material properties. Emphasizes the use of environmentally friendly composites. Analyzes the lifecycle including costs. Considers potential new fibers, their selection, and future applications. This book provides a comprehensive overview of the application of advanced composite materials in AM and is aimed at researchers, engineers, and advanced students in materials and manufacturing engineering and related disciplines.

Data-Based Methods for Materials Design and Discovery

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Author :
Publisher : Springer Nature
ISBN 13 : 3031023838
Total Pages : 172 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data-Based Methods for Materials Design and Discovery by : Ghanshyam Pilania

Download or read book Data-Based Methods for Materials Design and Discovery written by Ghanshyam Pilania and published by Springer Nature. This book was released on 2022-05-31 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.

Application of Artificial Intelligence in New Materials Discovery

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Author :
Publisher : Materials Research Forum LLC
ISBN 13 : 1644902524
Total Pages : 147 pages
Book Rating : 4.6/5 (449 download)

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Book Synopsis Application of Artificial Intelligence in New Materials Discovery by : Inamuddin

Download or read book Application of Artificial Intelligence in New Materials Discovery written by Inamuddin and published by Materials Research Forum LLC. This book was released on 2023-07-05 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is concerned with the use of Artificial Intelligence in the discovery, production and application of new engineering materials. Topics covered include nano-robots. data mining, solar energy systems, materials genomics, polymer manufacturing, and energy conversion issues. Keywords: Artificial Intelligence, Mathematical Models, Machine Learning, Artificial Neural Networks, Bayesian Analysis, Vector Machines, Heuristics, Crystal Structure, Component Prediction, Process Optimization, Density Functional Theory, Monitoring, Classification, Nano-Robots, Data Mining, Solar Photovoltaics, Renewable Energy Systems, Alternative Energy Sources, Material Genomics, Polymer Manufacturing, Energy Conversion.

Machine Learning in VLSI Computer-Aided Design

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Author :
Publisher : Springer
ISBN 13 : 3030046664
Total Pages : 694 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Machine Learning in VLSI Computer-Aided Design by : Ibrahim (Abe) M. Elfadel

Download or read book Machine Learning in VLSI Computer-Aided Design written by Ibrahim (Abe) M. Elfadel and published by Springer. This book was released on 2019-03-15 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure that I recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center

Materials Design Using Computational Intelligence Techniques

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Publisher : CRC Press
ISBN 13 : 1482238330
Total Pages : 185 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Materials Design Using Computational Intelligence Techniques by : Shubhabrata Datta

Download or read book Materials Design Using Computational Intelligence Techniques written by Shubhabrata Datta and published by CRC Press. This book was released on 2016-10-26 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database, as well as through the extraction of knowledge from experimental or industrial database, and using optimization tools.

Artificial Intelligence in Design '91

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Publisher : Butterworth-Heinemann
ISBN 13 : 1483164802
Total Pages : 952 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Artificial Intelligence in Design '91 by : J. S. Gero

Download or read book Artificial Intelligence in Design '91 written by J. S. Gero and published by Butterworth-Heinemann. This book was released on 2014-05-23 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Design '91 is a collection of 47 papers from the First International Conference on Artificial Intelligence in Design held at Edinburgh in June 1991. The papers in this book are grouped into 13 headings, starting with a background of AI design systems and to which extent AI that results from being used as planning tool be applied to quality-oriented design processes in architecture. A constraint-driven approach to object-oriented design is also shown on real-world objects. The use of CADSYN in the structural design of buildings is examined, along with design-dependent knowledge and design-independent knowledge. Discussions on empowering designers with integrated design environments are given whereby design objects may be retrieved from catalogues without requiring users to form queries. Mention is given to automated adjustment of parameter values frequently used in computer routine applications. The book also introduces the Computer Aided Design (CAD) as applied to architecture. Design representation using data models, non-monotonic reasoning in design, and the cognitive aspects of design using empirical studies are discussed. Topics of the industrial applications of AI in design, such as the needed steps to develop a successful AI-based tool, and a review of the Castlemain Project and telecommunication distribution networks follow. This book is suitable for programmers, computer science students, and architects and engineers who use computers in their line of work.

Machine Learning in 2D Materials Science

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Publisher : CRC Press
ISBN 13 : 1000987434
Total Pages : 249 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Machine Learning in 2D Materials Science by : Parvathi Chundi

Download or read book Machine Learning in 2D Materials Science written by Parvathi Chundi and published by CRC Press. This book was released on 2023-11-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials. For any materials science researcher or student, it may be daunting to figure out if ML techniques are useful for them or, if so, which ones are applicable in their individual contexts, and how to study the effectiveness of these methods systematically. KEY FEATURES • Provides broad coverage of data science and ML fundamentals to materials science researchers so that they can confidently leverage these techniques in their research projects. • Offers introductory material in topics such as ML, data integration, and 2D materials. • Provides in-depth coverage of current ML methods for validating 2D materials using both experimental and simulation data, researching and discovering new 2D materials, and enhancing ML methods with physical properties of materials. • Discusses customized ML methods for 2D materials data and applications and high-throughput data acquisition. • Describes several case studies illustrating how ML approaches are currently leading innovations in the discovery, development, manufacturing, and deployment of 2D materials needed for strengthening industrial products. • Gives future trends in ML for 2D materials, explainable AI, and dealing with extremely large and small, diverse datasets. Aimed at materials science researchers, this book allows readers to quickly, yet thoroughly, learn the ML and AI concepts needed to ascertain the applicability of ML methods in their research.

2021 International Conference on Applications and Techniques in Cyber Intelligence

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Author :
Publisher : Springer Nature
ISBN 13 : 3030792005
Total Pages : 994 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis 2021 International Conference on Applications and Techniques in Cyber Intelligence by : Jemal Abawajy

Download or read book 2021 International Conference on Applications and Techniques in Cyber Intelligence written by Jemal Abawajy and published by Springer Nature. This book was released on 2021-06-23 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users.

Artificial Intelligence for Materials Science

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Author :
Publisher : Springer Nature
ISBN 13 : 3030683109
Total Pages : 231 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for Materials Science by : Yuan Cheng

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.

Artificial Intelligence in Design ’92

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9401127875
Total Pages : 906 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Artificial Intelligence in Design ’92 by : John S. Gero

Download or read book Artificial Intelligence in Design ’92 written by John S. Gero and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 906 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design has now become an important research topic in engineering and architecture. Design is one of the keystones to economic competitiveness and the fundamental precursor to manufacturing. The development of computational models founded on the artificial intelligence paradigm has provided an impetus for current design research. This volume contains contributions from the Second International Conference on Artificial Intelligence in Design held in June 1992 in Pittsburgh. They represent the state-of-the-art and the cutting edge of research and development in this field. They are of particular interest to researchers, developers and users of computer systems in design. This volume demonstrates both the breadth and depth of artificial intelligence in design and points the way forward for our understanding of design as a process and for the development of computer-based tools to aiddesigners.

Artificial Intelligence in Engineering Design

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Publisher :
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Artificial Intelligence in Engineering Design by : R. A. Adey

Download or read book Artificial Intelligence in Engineering Design written by R. A. Adey and published by . This book was released on 1993 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: