Artificial Intelligence Aided Materials Design

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Artificial Intelligence-Aided Materials Design

Author : Rajesh Jha
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.

Computer-Aided Materials Selection During Structural Design

Author : Committee on Application of Expert Systems to Materials Selection During Structural Design
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 driven Materials Design

Author : Piyush Tagade
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 Innovation of New Materials

Author : J. Kihara
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

Author : M. T. Mastura
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

Author : Ghanshyam Pilania
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.

Materials Design Using Computational Intelligence Techniques

Author : Shubhabrata Datta
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.

Data-Based Methods for Materials Design and Discovery

Author : Ghanshyam Pilania
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

Author : Inamuddin
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.

Sustainable Materials

Author : Akshansh Mishra
Publisher :
ISBN 13 : 9781032568522
Total Pages : 0 pages
Book Rating : 4.5/5 (685 download)

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Book Synopsis Sustainable Materials by : Akshansh Mishra

Download or read book Sustainable Materials written by Akshansh Mishra and published by . This book was released on 2024-10-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book explores the use of AI and ML techniques for the design, characterization, and development of prediction analysis of sustainable polymer composites.

Machine Learning in 2D Materials Science

Author : Parvathi Chundi
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.

Deterministic Artificial Intelligence

Author : Timothy Sands
Publisher : BoD – Books on Demand
ISBN 13 : 1789841119
Total Pages : 180 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Deterministic Artificial Intelligence by : Timothy Sands

Download or read book Deterministic Artificial Intelligence written by Timothy Sands and published by BoD – Books on Demand. This book was released on 2020-05-27 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kirchhoff’s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton’s laws, while rotational motion mechanics comply with Euler’s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler’s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.

Accelerated Materials Discovery

Author : Phil De Luna
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110738082
Total Pages : 215 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Accelerated Materials Discovery by : Phil De Luna

Download or read book Accelerated Materials Discovery written by Phil De Luna and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-02-21 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world’s biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs).

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

Author : Naidenova, Xenia
Publisher : IGI Global
ISBN 13 : 1466619015
Total Pages : 329 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems by : Naidenova, Xenia

Download or read book Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems written by Naidenova, Xenia and published by IGI Global. This book was released on 2012-07-31 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.

2021 International Conference on Applications and Techniques in Cyber Intelligence

Author : Jemal Abawajy
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.

Applications of Machine Learning and Artificial Intelligence in Education

Author : Seda Khadimally
Publisher : Information Science Reference
ISBN 13 : 9781799877769
Total Pages : 300 pages
Book Rating : 4.8/5 (777 download)

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Book Synopsis Applications of Machine Learning and Artificial Intelligence in Education by : Seda Khadimally

Download or read book Applications of Machine Learning and Artificial Intelligence in Education written by Seda Khadimally and published by Information Science Reference. This book was released on 2021 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Topics covered include data coding and social networking technology.

AI in Material Science

Author : Syed Saad
Publisher : CRC Press
ISBN 13 : 1040096565
Total Pages : 289 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis AI in Material Science by : Syed Saad

Download or read book AI in Material Science written by Syed Saad and published by CRC Press. This book was released on 2024-07-26 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the transformative impact of artificial intelligence on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science.