Artificial Intelligence Aided Materials Design


Artificial Intelligence Aided Materials Design
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Artificial Intelligence Aided Materials Design


Artificial Intelligence Aided Materials Design
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Author : Rajesh Jha
language : en
Publisher: CRC Press
Release Date : 2022-03-15

Artificial Intelligence Aided Materials Design written by Rajesh Jha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Technology & Engineering categories.


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


Computer Aided Materials Selection During Structural Design
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Author : Committee on Application of Expert Systems to Materials Selection During Structural Design
language : en
Publisher: National Academies Press
Release Date : 1995-04-17

Computer Aided Materials Selection During Structural Design written by Committee on Application of Expert Systems to Materials Selection During Structural Design 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 1995-04-17 with Technology & Engineering categories.


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


Artificial Intelligence Driven Materials Design
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Author : Piyush Tagade
language : en
Publisher: Springer
Release Date : 2024-10-01

Artificial Intelligence Driven Materials Design written by Piyush Tagade and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Science categories.


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. ​



Artificial Intelligence In Engineering Design


Artificial Intelligence In Engineering Design
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Author : Christopher Tong
language : en
Publisher: Elsevier
Release Date : 2012-12-02

Artificial Intelligence In Engineering Design written by Christopher Tong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Computers categories.


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.



Ai In Material Science


Ai In Material Science
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Author : Syed Saad
language : en
Publisher: CRC Press
Release Date : 2024-07-26

Ai In Material Science written by Syed Saad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Technology & Engineering categories.


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.



Artificial Intelligence In Design 91


Artificial Intelligence In Design 91
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Author : J. S. Gero
language : en
Publisher: Butterworth-Heinemann
Release Date : 2014-05-23

Artificial Intelligence In Design 91 written by J. S. Gero and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Architecture categories.


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.



Materials Design Using Computational Intelligence Techniques


Materials Design Using Computational Intelligence Techniques
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Author : Shubhabrata Datta
language : en
Publisher: CRC Press
Release Date : 2016-10-26

Materials Design Using Computational Intelligence Techniques written by Shubhabrata Datta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-26 with Mathematics categories.


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


Artificial Intelligence In Design
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Author : D.T. Pham
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Artificial Intelligence In Design written by D.T. Pham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


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.



Artificial Intelligence In Design 98


Artificial Intelligence In Design 98
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Author : John S. Gero
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Artificial Intelligence In Design 98 written by John S. Gero and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


The development of computational models of design founded on the artificial intelligenceparadigm has provided an impetus for muchofcurrentdesign research. As artificial intelligence has matured and developed new approaches so the impact ofthese new approaches on design research has been felt. This can be seen in the wayconcepts from cognitive science has found theirway into artificial intelligence and hence into design research. And, also in the way in which agent-based systems arebeingincorporated into design systems. In design research there is an increasing blurring between notions drawn from artificial intelligence and those drawn from cognitive science. Whereas a number of years ago the focus was largely on applying artificial intelligence to designing as an activity, thus treating designing as a form ofproblem solving, today we are seeing a much wider variety ofconceptions of the role of artificial intelligence in helping to model and comprehend designing as a process. Thus, we see papers in this volume which have as their focus the development or implementationofframeworks for artificial intelligence in design - attempting to determine a unique locus for these ideas. We see papers which attempt to find foundations for the development of tools based on the artificial intelligence paradigm; often the foundations come from cognitive studiesofhuman designers.



Integrating Artificial Intelligence With Industrial Design


Integrating Artificial Intelligence With Industrial Design
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Author :
language : en
Publisher:
Release Date : 2024

Integrating Artificial Intelligence With Industrial Design written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.