Ai In Material Science
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Artificial Intelligence Applications In Materials Science
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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.
Artificial Intelligence For Materials Science
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Author : Yuan Cheng
language : en
Publisher:
Release Date : 2021
Artificial Intelligence For Materials Science written by Yuan Cheng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic books 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.
Ai In Material Science
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Author : Syed Saad
language : en
Publisher:
Release Date : 2024
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 with Architecture categories.
"AI in Material Science: Revolutionizing Construction in the Age of Industry 4.0 is a comprehensive guide for professionals and researchers in the fields of artificial intelligence, material science, and construction. The book explores the latest research and developments in the field of AI-assisted material science, and its use to revolutionize the construction industry in the age of Industry 4.0. The book provides real-world examples and case studies of AI-assisted material science in the construction sector, giving readers practical and actionable insights. It covers a wide range of applications of AI in material science, from design and modeling to fabrication and construction, making it a valuable resource for professionals in the field. The book also focuses on how artificial intelligence in material science can help drive the construction industry towards Industry 4.0, making it an important resource for professionals looking to stay ahead of the curve in this rapidly advancing field"--
Artificial Intelligence For Materials Informatics
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Author : S. Sachin Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-07-29
Artificial Intelligence For Materials Informatics written by S. Sachin Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
This comprehensive book explores the transformative impact of AI on materials informatics, delving into machine learning/deep learning, and material knowledge representation. Embracing the transformative power of artificial intelligence (AI), the field of materials informatics has witnessed a remarkable revolution in its methodology and applications. AI has revolutionized the field of materials informatics, enabling researchers to discover, design, and optimize materials with enhanced properties at an accelerated pace. It showcases how AI is accelerating materials discovery, property prediction, providing case studies, and a comprehensive bibliography for further exploration. This essential resource equips researchers, scientists, and engineers with the knowledge and tools to harness the power of AI for groundbreaking advancements in materials science.
Ai Material Design
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Author : Kai Turing
language : en
Publisher: Publifye AS
Release Date : 2025-03-04
Ai Material Design written by Kai Turing and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Technology & Engineering categories.
""AI Material Design"" explores how artificial intelligence is revolutionizing materials science, speeding up the discovery of materials with specific properties. One intriguing aspect is using AI to predict material properties like strength or conductivity, potentially cutting down on traditional trial-and-error methods. The book also highlights AI's role in optimizing material synthesis and processing, leading to efficient production of high-quality materials. The book uniquely positions AI as more than just a tool; instead, it demonstrates how AI is essential for designing and discovering materials with unprecedented functionalities. Beginning with machine learning principles, the approach progresses to detailing how AI algorithms predict material properties and optimize synthesis techniques. Real-world case studies illustrate the effectiveness of AI in overcoming materials design challenges, making it valuable for researchers and industry professionals alike.
Application Of Artificial Intelligence In New Materials Discovery
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Author : Inamuddin
language : en
Publisher: Materials Research Forum LLC
Release Date : 2023-07-05
Application Of Artificial Intelligence In New Materials Discovery written by Inamuddin and has been published by Materials Research Forum LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Technology & Engineering categories.
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.
Ai And Robotic Technology In Materials And Chemistry Research
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Author : Xi Zhu
language : en
Publisher: John Wiley & Sons
Release Date : 2025-02-18
Ai And Robotic Technology In Materials And Chemistry Research written by Xi Zhu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.
A singular resource for researchers seeking to apply artificial intelligence and robotics to materials science In AI and Robotic Technology in Materials and Chemistry Research, distinguished researcher Dr. Xi Zhu delivers an incisive and practical guide to the use of artificial intelligence and robotics in materials science and chemistry. Dr. Zhu explains the principles of AI from the perspective of a scientific researcher, including the challenges of applying the technology to chemical and biomaterials design. He offers concise interviews and surveys of highly regarded industry professionals and highlights the interdisciplinary and broad applicability of widely available AI tools like ChatGPT. The book covers computational methods and approaches from algorithms, models, and experimental data systems, and includes case studies that showcase the real-world applications of artificial intelligence and lab automation in a variety of scientific research settings from around the world. You'll also find: A thorough introduction to the challenges currently being faced by chemists and materials science researchers Comprehensive explorations of autonomous laboratories powered by artificial intelligence and robotics Practical discussions of a blockchain-powered anti-counterfeiting experimental data system in an autonomous laboratory In-depth treatments of large language models as applied to autonomous materials research Perfect for materials scientists, analytical chemists, and robotics engineers, AI and Robotic Technology in Materials and Chemistry Research will also benefit analytical and pharmaceutical chemists, computer analysts, and other professionals and researchers with an interest in artificial intelligence and robotics.
Artificial Intelligence In Computational Materials Science
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Author : Amodini Mishra
language : en
Publisher:
Release Date : 2025-06-20
Artificial Intelligence In Computational Materials Science written by Amodini Mishra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Computers categories.
This book presents an overview of how AI is transforming materials science to meet the challenges of everyday life and across various technological domains. The author delves into various AI techniques such as machine learning, deep learning, and data-driven approaches, showcasing their application in materials discovery, characterization, and property prediction. As a reference, the book provides researchers and academicians established, state-of-the-science insights into the integration of AI with computational methods like molecular dynamics simulations, density functional theory calculations, and multiscale modelling, enhancing accuracy and efficiency in material research. In addition, the book highlights the successful applications of AI in optimizing material performance, accelerating materials development cycles, and enabling novel discoveries in the fields ranging from energy to environment materials. Artificial Intelligence in Computational Materials Science: Methods and Applications serves as a vital resource for researchers, engineers, and students interested in harnessing the potential of AI's for the advancement of materials science, innovating across industries, and addressing complex scientific challenges.
Artificial Intelligence For Medicine
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Author : Yoshiki Oshida
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-10-11
Artificial Intelligence For Medicine written by Yoshiki Oshida and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-11 with Technology & Engineering categories.
The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.
Machine Learning In 2d Materials Science
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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 Computers 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.