Artificial Intelligence Aided Materials Design

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Artificial Intelligence-Aided Materials Design

Rajesh Jha,Bimal Kumar Jha
Artificial Intelligence Aided Materials Design Book PDF

Author : Rajesh Jha,Bimal Kumar Jha
Publisher : CRC Press
Page : 363 pages
File Size : 41,5 Mb
Release : 2022-03-15
Category : Technology & Engineering
ISBN : 9781000541335

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Artificial Intelligence-Aided Materials Design by Rajesh Jha,Bimal Kumar Jha Pdf

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

Committee on Application of Expert Systems to Materials Selection During Structural Design,Commission on Engineering and Technical Systems,National Materials Advisory Board,Division on Engineering and Physical Sciences,National Research Council
Computer Aided Materials Selection During Structural Design Book PDF

Author : Committee on Application of Expert Systems to Materials Selection During Structural Design,Commission on Engineering and Technical Systems,National Materials Advisory Board,Division on Engineering and Physical Sciences,National Research Council
Publisher : National Academies Press
Page : 84 pages
File Size : 47,9 Mb
Release : 1995-04-17
Category : Technology & Engineering
ISBN : 9780309587679

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Computer-Aided Materials Selection During Structural Design by Committee on Application of Expert Systems to Materials Selection During Structural Design,Commission on Engineering and Technical Systems,National Materials Advisory Board,Division on Engineering and Physical Sciences,National Research Council Pdf

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

Christopher Tong,Duvvuru Sriram
Artificial Intelligence in Engineering Design Book PDF

Author : Christopher Tong,Duvvuru Sriram
Publisher : Elsevier
Page : 388 pages
File Size : 53,5 Mb
Release : 2012-12-02
Category : Computers
ISBN : 9780080926025

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Artificial Intelligence in Engineering Design by Christopher Tong,Duvvuru Sriram Pdf

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.

Artificial Intelligence driven Materials Design

Piyush Tagade,Shashishekar P. Adiga
Artificial Intelligence driven Materials Design Book PDF

Author : Piyush Tagade,Shashishekar P. Adiga
Publisher : Springer
Page : 0 pages
File Size : 46,8 Mb
Release : 2024-10-01
Category : Science
ISBN : 9811922616

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Artificial Intelligence driven Materials Design by Piyush Tagade,Shashishekar P. Adiga Pdf

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

J. Kihara,R. Yamamoto,M. Doyama,T. Suzuki
Computer Aided Innovation of New Materials Book PDF

Author : J. Kihara,R. Yamamoto,M. Doyama,T. Suzuki
Publisher : Elsevier
Page : 1009 pages
File Size : 45,7 Mb
Release : 2012-12-02
Category : Science
ISBN : 9780444597335

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Computer Aided Innovation of New Materials by J. Kihara,R. Yamamoto,M. Doyama,T. Suzuki Pdf

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

M. T. Mastura,S. M. Sapuan,R. A. Ilyas
Additive Manufacturing for Biocomposites and Synthetic Composites Book PDF

Author : M. T. Mastura,S. M. Sapuan,R. A. Ilyas
Publisher : CRC Press
Page : 267 pages
File Size : 54,7 Mb
Release : 2023-12-27
Category : Technology & Engineering
ISBN : 9781003817932

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Additive Manufacturing for Biocomposites and Synthetic Composites by M. T. Mastura,S. M. Sapuan,R. A. Ilyas Pdf

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

Ghanshyam Pilania,Prasanna V. Balachandran,James E. Gubernatis,Turab Lookman
Data Based Methods for Materials Design and Discovery Book PDF

Author : Ghanshyam Pilania,Prasanna V. Balachandran,James E. Gubernatis,Turab Lookman
Publisher : Springer Nature
Page : 172 pages
File Size : 55,6 Mb
Release : 2022-05-31
Category : Science
ISBN : 9783031023835

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Data-Based Methods for Materials Design and Discovery by Ghanshyam Pilania,Prasanna V. Balachandran,James E. Gubernatis,Turab Lookman Pdf

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

Shubhabrata Datta
Materials Design Using Computational Intelligence Techniques Book PDF

Author : Shubhabrata Datta
Publisher : CRC Press
Page : 185 pages
File Size : 54,7 Mb
Release : 2016-10-26
Category : Mathematics
ISBN : 9781482238334

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Materials Design Using Computational Intelligence Techniques by Shubhabrata Datta Pdf

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

J. S. Gero
Artificial Intelligence in Design 91 Book PDF

Author : J. S. Gero
Publisher : Butterworth-Heinemann
Page : 953 pages
File Size : 49,8 Mb
Release : 2014-05-23
Category : Architecture
ISBN : 9781483164809

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Artificial Intelligence in Design '91 by J. S. Gero Pdf

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.

Application of Artificial Intelligence in New Materials Discovery

Inamuddin,Maha Khan,Jafar Mazumder
Application of Artificial Intelligence in New Materials Discovery Book PDF

Author : Inamuddin,Maha Khan,Jafar Mazumder
Publisher : Materials Research Forum LLC
Page : 147 pages
File Size : 42,7 Mb
Release : 2023-07-05
Category : Technology & Engineering
ISBN : 9781644902523

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Application of Artificial Intelligence in New Materials Discovery by Inamuddin,Maha Khan,Jafar Mazumder Pdf

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 2D Materials Science

Parvathi Chundi,Venkataramana Gadhamshetty,Bharat K. Jasthi,Carol Lushbough
Machine Learning in 2D Materials Science Book PDF

Author : Parvathi Chundi,Venkataramana Gadhamshetty,Bharat K. Jasthi,Carol Lushbough
Publisher : CRC Press
Page : 249 pages
File Size : 46,6 Mb
Release : 2023-11-13
Category : Technology & Engineering
ISBN : 9781000987430

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Machine Learning in 2D Materials Science by Parvathi Chundi,Venkataramana Gadhamshetty,Bharat K. Jasthi,Carol Lushbough Pdf

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.

Artificial Intelligence in Design

D.T. Pham
Artificial Intelligence in Design Book PDF

Author : D.T. Pham
Publisher : Springer Science & Business Media
Page : 499 pages
File Size : 52,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783642743542

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Artificial Intelligence in Design by D.T. Pham Pdf

Computers have been employed for some time in engineering design mainly as numerical or graphical tools to assist analysis and draughting. The advent of the technology of artificial intelligence and expert systems has enabled computers to be applied to less deterministic design tasks which require symbolic manipulation and reasoning, instead of only routine number processing. This book presents recent examples of such applications, focusing on mechanical and manufacturing design. The term 'design' is interpreted here in its wider sense to include creative activities such as planning. The book covers a wide spectrum of design operations ranging from component and product design through to process, tooling and systems design. Its aim is to expose researchers, engineers and engineering designers to several developments in the emerging field of intelligent CAD and to alert them of the possibilites and opportunities in this exciting field.

Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems

Naidenova, Xenia
Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems Book PDF

Author : Naidenova, Xenia
Publisher : IGI Global
Page : 329 pages
File Size : 49,9 Mb
Release : 2012-07-31
Category : Computers
ISBN : 9781466619012

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Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems by Naidenova, Xenia Pdf

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.

Artificial Intelligence in Design ’92

John S. Gero
Artificial Intelligence in Design 92 Book PDF

Author : John S. Gero
Publisher : Springer Science & Business Media
Page : 906 pages
File Size : 46,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789401127875

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Artificial Intelligence in Design ’92 by John S. Gero Pdf

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.

AI in Material Science

Syed Saad,Syed Ammad,Kumeel Rasheed
AI in Material Science Book PDF

Author : Syed Saad,Syed Ammad,Kumeel Rasheed
Publisher : CRC Press
Page : 289 pages
File Size : 41,5 Mb
Release : 2024-07-26
Category : Technology & Engineering
ISBN : 9781040096567

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AI in Material Science by Syed Saad,Syed Ammad,Kumeel Rasheed Pdf

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.