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Author : L. John Kennedy
Publisher : Wiley-Scrivener
ISBN 13 : 9781119864936
Total Pages : 400 pages
Book Rating : 4.8/5 (649 download)
Download or read book AI in Materials Science and Solid-state Physics written by L. John Kennedy and published by Wiley-Scrivener. This book was released on 2022-08-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yuan Cheng
Publisher : Springer Nature
ISBN 13 : 3030683109
Total Pages : 231 pages
Book Rating : 4.0/5 (36 download)
Download or read book Artificial Intelligence for Materials Science written by Yuan Cheng and published by Springer Nature. This book was released on 2021-03-26 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Volker Knecht
Publisher : CRC Press
ISBN 13 : 1000643832
Total Pages : 147 pages
Book Rating : 4.0/5 (6 download)
Download or read book AI for Physics written by Volker Knecht and published by CRC Press. This book was released on 2022-08-29 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in accessible language without mathematical formulas, this short book provides an overview of the wide and varied applications of artificial intelligence (AI) across the spectrum of physical sciences. Focusing in particular on AI's ability to extract patterns from data, known as machine learning (ML), the book includes a chapter on important machine learning algorithms and their respective applications in physics. It then explores the use of ML across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything. The book covers such applications as the search for new particles and the detection of gravitational waves from the merging of black holes, and concludes by discussing what the future may hold.
Author :
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.3/5 (91 download)
Download or read book Accessions of Unlimited Distribution Reports written by and published by . This book was released on 1974-01-11 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jonathan P. Osha
Publisher : Kluwer Law International B.V.
ISBN 13 : 9403522232
Total Pages : 567 pages
Book Rating : 4.4/5 (35 download)
Download or read book Artificial Intelligence and Patents written by Jonathan P. Osha and published by Kluwer Law International B.V.. This book was released on 2023-09-14 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (‘AI’) and the AI sub-field of Machine Learning (‘ML’) are terms that originated in the fields of computer and data science but now form part of the common vernacular. AI has now found application in virtually every field. Some applications of AI have become part of our daily lives: virtual assistants, chatbots, search engines, online language translation and eCommerce all employ AI in various forms. Generative AI such as OpenAI’s products ChatGPT (natural language generation), Jukebox (music generation) and DALL-E2 (image generation) have captured the public attention to an enormous degree and can, indeed, do amazing things. A myriad of other applications of AI are found in disparate fields that, while not as visible on a daily basis, impact on our lives in a wide variety of ways. With this rapidly-increasing impact comes not only exciting new technical capabilities but also new challenges for intellectual property (‘IP’) law. Are current laws fit for purpose or is something new or different needed? This is not a new question; one need only look back to the early days of digital music, computer software and 3-D printing to find similar discussions of whether existing IP law is suited to emerging technologies. For the most part, the answer in the past has been “yes”, with perhaps a tweak here and there. Whether the same will be true of AI is, as yet, an open question. This book focuses specifically on AI and patents. Unsurprisingly, different jurisdictions have taken different approaches to patentability of AI-related inventions. Terminology (what is an “AI-related invention”?) also is inconsistent from one patent office to the next. These factors combine to create a maze of laws and regulations that patent applicants must navigate to secure protection for their innovations. To facilitate comparison of laws and practices, this book introduces a taxonomy that separates AI-related inventions into five conceptual categories. The patent law implications of each category are then addressed in national and regional chapters reflecting the perspectives of 16 major jurisdictions. All chapters follow the same structure, thereby allowing the reader to directly compare approaches taken by different jurisdictions. Thirty-nine subject matter experts from around the world contributed to this book. This is the eighth volume in the AIPPI Law Series which has been established together with the International Association for the Protection of Intellectual Property (AIPPI), a non-affiliated, non-profit organization dedicated to improving and promoting the protection of intellectual property at both national and international levels.
Author : Geoffrey A Ozin
Publisher : Royal Society of Chemistry
ISBN 13 : 1839163844
Total Pages : 465 pages
Book Rating : 4.8/5 (391 download)
Download or read book Energy Materials Discovery written by Geoffrey A Ozin and published by Royal Society of Chemistry. This book was released on 2022-06-13 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Materials have the potential to be the centrepiece for the transition to viable renewable energy technologies if they realise a specific suite of properties and achieve a desired set of performance metrics. The envisioned transition involves the discovery of materials that enable generation, conversion, storage, transmission, and utilization of renewable energy. This book presents, through the eye of materials chemistry, an umbrella view of the myriad of classes of materials that make renewable energy technologies work. They are poised to facilitate the transition of non-renewable and unsustainable energy systems of the past into renewable and sustainable energy systems of the future. It is a story that often begins in chemistry laboratories with the discovery of new energy materials. Yet, to displace materials in existing energy technologies with new ones, depends not only on the ability to design and engineer a superior set of performance metrics for the material and the technology but also the requirement to meet a demanding collection of economic, regulatory, social, policy, environmental and sustainability criteria. Disruption in the traditional way of discovering materials is coming with the emergence of artificial intelligence, machine learning and robotic automation designed to accelerate the well-established discovery process, massive libraries of materials can be evaluated and the possibilities are endless. This book provides a perspective on the application of these new technologies to this field as well as an overview of energy materials discovery in the broader techno-economic and social context. Any budding researcher or more experienced materials scientist will find a guide to a fascinating story of discovery and emerge with a vision of what is next.
Author : Piyush Tagade
Publisher : Springer
ISBN 13 : 9789811922619
Total Pages : 0 pages
Book Rating : 4.9/5 (226 download)
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.
Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309067995
Total Pages : 63 pages
Book Rating : 4.3/5 (9 download)
Download or read book Materials in a New Era written by National Research Council and published by National Academies Press. This book was released on 2000-01-09 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1999 Solid State Sciences Committee Forum, entitled "Materials in a New Era," was held at the National Academy of Sciences in Washington, D.C., on February 16-17, 1999. The forum was designed to launch the report entitled Condensed-Matter and Materials Physics: Basic Research for Tomorrow 's Technology. That report, part of the decadal survey series, Physics in a New Era, reviews some of the outstanding accomplishments in materials research over the last decade. It indicates some emerging areas and conveys the true excitement in the field from a perspective of basic science and potential societal impact.
Author : Giuseppe Grosso
Publisher : Academic Press
ISBN 13 : 0123850312
Total Pages : 873 pages
Book Rating : 4.1/5 (238 download)
Download or read book Solid State Physics written by Giuseppe Grosso and published by Academic Press. This book was released on 2013-10-17 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solid State Physics is a textbook for students of physics, material science, chemistry, and engineering. It is the state-of-the-art presentation of the theoretical foundations and application of the quantum structure of matter and materials. This second edition provides timely coverage of the most important scientific breakthroughs of the last decade (especially in low-dimensional systems and quantum transport). It helps build readers' understanding of the newest advances in condensed matter physics with rigorous yet clear mathematics. Examples are an integral part of the text, carefully designed to apply the fundamental principles illustrated in the text to currently active topics of research. Basic concepts and recent advances in the field are explained in tutorial style and organized in an intuitive manner. The book is a basic reference work for students, researchers, and lecturers in any area of solid-state physics. Features additional material on nanostructures, giving students and lecturers the most significant features of low-dimensional systems, with focus on carbon allotropes Offers detailed explanation of dissipative and nondissipative transport, and explains the essential aspects in a field, which is commonly overlooked in textbooks Additional material in the classical and quantum Hall effect offers further aspects on magnetotransport, with particular emphasis on the current profiles Gives a broad overview of the band structure of solids, as well as presenting the foundations of the electronic band structure. Also features reported with new and revised material, which leads to the latest research
Author : Phil De Luna
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110733250
Total Pages : 235 pages
Book Rating : 4.1/5 (17 download)
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 235 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).
Author : Aleksandr Ivanovich Gusev
Publisher : Cambridge Int Science Publishing
ISBN 13 : 1898326266
Total Pages : 365 pages
Book Rating : 4.8/5 (983 download)
Download or read book Nanocrystalline Materials written by Aleksandr Ivanovich Gusev and published by Cambridge Int Science Publishing. This book was released on 2004 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the monograph, the first of this type in the world, the authors discuss systematically the current state of investigations into nanocrystalline materials. The experimental results on the effect of the nanocrystalline state on the microstructure and the mechanical, thermophysical, optical, and magnetic properties of metals, alloys and solid-phase compounds are generalised. Special attention is given to the main methods of production of isolated nanoparticles, ultrafine powders and dense nanocrystalline materials. The dimensional effects in isolated nanoparticles and high-density nanocrystalline materials are discussed in detail, and the important role of the interface in the formation of the structure and properties of dense nanocrystalline materials is shown. The modelling considerations, explaining special features of the structure and anomalous properties of substances in the nanocrystalline condition, are analysed.
Author : R. Mukhopadhyay
Publisher : Universities Press
ISBN 13 : 9788173711985
Total Pages : 562 pages
Book Rating : 4.7/5 (119 download)
Download or read book Solid State Physics written by R. Mukhopadhyay and published by Universities Press. This book was released on 1999 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tongyi Zhang
Publisher : Springer
ISBN 13 : 9789819979912
Total Pages : 0 pages
Book Rating : 4.9/5 (799 download)
Download or read book An Introduction to Materials Informatics written by Tongyi Zhang and published by Springer. This book was released on 2024-02-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Khanittha Wongseedakaew
Publisher : Trans Tech Publications Ltd
ISBN 13 : 303826668X
Total Pages : 338 pages
Book Rating : 4.0/5 (382 download)
Download or read book Materials Science and Intelligent Technologies Applications written by Khanittha Wongseedakaew and published by Trans Tech Publications Ltd. This book was released on 2014-10-08 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Jay Dawani
Publisher : Packt Publishing Ltd
ISBN 13 : 183864184X
Total Pages : 347 pages
Book Rating : 4.8/5 (386 download)
Download or read book Hands-On Mathematics for Deep Learning written by Jay Dawani and published by Packt Publishing Ltd. This book was released on 2020-06-12 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, image, text, and sequence applicationsBook Description Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you’ll explore CNN, recurrent neural network (RNN), and GAN models and their application. By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL. What you will learnUnderstand the key mathematical concepts for building neural network modelsDiscover core multivariable calculus conceptsImprove the performance of deep learning models using optimization techniquesCover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizerUnderstand computational graphs and their importance in DLExplore the backpropagation algorithm to reduce output errorCover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs)Who this book is for This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by learning the math behind it. Working knowledge of the Python programming language and machine learning basics is required.
Author : Syed Saad
Publisher : CRC Press
ISBN 13 : 1040096565
Total Pages : 289 pages
Book Rating : 4.0/5 (4 download)
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.
Author : Richard Dronskowski
Publisher : John Wiley & Sons
ISBN 13 : 3527325875
Total Pages : 3912 pages
Book Rating : 4.5/5 (273 download)
Download or read book Handbook of Solid State Chemistry, 6 Volume Set written by Richard Dronskowski and published by John Wiley & Sons. This book was released on 2017-10-23 with total page 3912 pages. Available in PDF, EPUB and Kindle. Book excerpt: This most comprehensive and unrivaled compendium in the field provides an up-to-date account of the chemistry of solids, nanoparticles and hybrid materials. Following a valuable introductory chapter reviewing important synthesis techniques, the handbook presents a series of contributions by about 150 international leading experts -- the "Who's Who" of solid state science. Clearly structured, in six volumes it collates the knowledge available on solid state chemistry, starting from the synthesis, and modern methods of structure determination. Understanding and measuring the physical properties of bulk solids and the theoretical basis of modern computational treatments of solids are given ample space, as are such modern trends as nanoparticles, surface properties and heterogeneous catalysis. Emphasis is placed throughout not only on the design and structure of solids but also on practical applications of these novel materials in real chemical situations.
