Ai In Material Science
DOWNLOAD
Download Ai In Material Science PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai In Material Science book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence For Materials Science
DOWNLOAD
Author : Yuan Cheng
language : en
Publisher: Springer Nature
Release Date : 2021-03-26
Artificial Intelligence For Materials Science written by Yuan Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-26 with Technology & Engineering categories.
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 Applications In Materials Science
DOWNLOAD
Author : Ralph J. Harrison
language : en
Publisher:
Release Date : 1987
Artificial Intelligence Applications In Materials Science written by Ralph J. Harrison and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Ai In Material Science
DOWNLOAD
Author : Syed Saad
language : en
Publisher:
Release Date : 2024-07-26
Ai In Material Science written by Syed Saad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Architecture 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.
Machine Learning In 2d Materials Science
DOWNLOAD
Author : Parvathi Chundi
language : en
Publisher: CRC Press
Release Date : 2023-11-13
Machine Learning In 2d Materials Science written by Parvathi Chundi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with Technology & Engineering categories.
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 Aided Materials Design
DOWNLOAD
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.
Artificial Intelligence Driven Materials Design
DOWNLOAD
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.
An Introduction To Materials Informatics
DOWNLOAD
Author : Tongyi Zhang
language : en
Publisher: Springer
Release Date : 2024-02-20
An Introduction To Materials Informatics written by Tongyi Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Technology & Engineering categories.
This textbook educates current and future materials workers, engineers, and researchers on Materials Informatics. Volume I serves as an introduction, merging AI, ML, materials science, and engineering. It covers essential topics and algorithms in 11 chapters, including Linear Regression, Neural Networks, and more. Suitable for diverse fields like materials science, physics, and chemistry, it enables quick and easy learning of Materials Informatics for readers without prior AI and ML knowledge.
Exploring The Synergy Between Materials Science Ai And Robotics
DOWNLOAD
Author : Pranav Patlola
language : en
Publisher: Pranav Patlola
Release Date : 2023-10-29
Exploring The Synergy Between Materials Science Ai And Robotics written by Pranav Patlola and has been published by Pranav Patlola this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-29 with Technology & Engineering categories.
In the grand tapestry of human progress, certain moments stand out as pivotal junctures where diverse threads of innovation converge to weave new realms of possibility. The 21st century has witnessed such a confluence as Materials science, Artificial Intelligence (AI), and Robotics interlace their trajectories, giving birth to an era defined by the interplay of matter, intelligence, and mechanical embodiment. This document embarks on an exhilarating journey through this transformative nexus where Materials science, AI, and Robotics converge, forming a synergy that promises to reshape industries, redefine human capabilities, and redefine the boundaries of what was once deemed impossible.
Materials Science And Intelligent Technologies Applications
DOWNLOAD
Author : Khanittha Wongseedakaew
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2014-10-08
Materials Science And Intelligent Technologies Applications written by Khanittha Wongseedakaew and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-08 with Technology & Engineering categories.
Collection of selected, peer reviewed papers from the 2014 3rd International Conference on Key Engineering Materials and Computer Science (KEMCS 2014), August 5-6, 2014, Singapore. The 57 papers are grouped as follows: Chapter 1: Materials Science and Materials Engineering, Chapter 2: Artificial Intelligence and Data Mining, Data, Image and Signal Processing, Intelligent Automation and Control, Chapter 3: Computer Science and Information Technologies, Chapter 4: Electrical and Magnetoelectric Applications, Chapter 5: Advanced Technologies in Social, Education, Economics, Statistics and Management Applications.
Ai In Materials Science And Solid State Physics
DOWNLOAD
Author : L. John Kennedy
language : en
Publisher: Wiley-Scrivener
Release Date : 2022-08-16
Ai In Materials Science And Solid State Physics written by L. John Kennedy and has been published by Wiley-Scrivener this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Computers categories.