Machine Learning For Advanced Functional Materials
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| Author | : Nirav Joshi |
| Publisher | : Springer Nature |
| Total Pages | : 306 |
| Release | : 2023-05-22 |
| Genre | : Science |
| ISBN | : 9819903939 |
This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.
| Author | : Ranjith, R. |
| Publisher | : IGI Global |
| Total Pages | : 394 |
| Release | : 2023-08-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1668474131 |
Scaffold bone replacements are a safe and effective way to cure bone abnormalities, and porous scaffolds can be manufactured using additive manufacturing technology. When scaffolds are implanted in a damaged location, they quickly connect to the host tissue and integrate, stimulating bone production and development. The qualities of porous titanium must be matched to the properties of human bones (i.e., age, sex, and hormones). Using subtractive manufacturing, it is extremely difficult to create the complicated porous structure necessary for the desired characteristic. The Handbook of Research on Advanced Functional Materials for Orthopedic Applications highlights current research pertinent to the orthopedic applications of additive-produced scaffolds in order to consider the latest breakthroughs in the synthesis and multifunctional applications of scaffolds. Covering key topics such as tissue, additive manufacturing, and biomaterial, this major reference work is ideal for industry professionals, engineers, researchers, academicians, practitioners, scholars, instructors, and students.
| Author | : Rakesh Kumar Sonker |
| Publisher | : Springer Nature |
| Total Pages | : 309 |
| Release | : 2023-11-02 |
| Genre | : Science |
| ISBN | : 9819960142 |
This book highlights the significance and usefulness of nanomaterials for the development of sensing devices and their real-life applications. The book also addresses various means of synthesizing functional materials, e.g., hydrothermal deposition process, electrospinning, Ostwald ripening, sputtering heterogeneous deposition, liquid-phase preparation, the vapor deposition approach, and aerosol flame synthesis. It presents an informative overview of the role of functional materials in the development of advanced sensor devices at the nanoscale and discusses the applications of functional materials in different forms prepared by diverse techniques in the field of optoelectronics and biomedical devices. Major features, such as type of advanced functional, fabrication methods, applications, tasks, benefits and restrictions, and saleable features, are presented in this book. Advanced functional materials for sensing have much wider applications and have an enormous impact on our environment.
| Author | : Yuan Cheng |
| Publisher | : Springer Nature |
| Total Pages | : 231 |
| Release | : 2021-03-26 |
| Genre | : Technology & Engineering |
| ISBN | : 3030683109 |
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 | : Akshansh Mishra |
| Publisher | : CRC Press |
| Total Pages | : 215 |
| Release | : 2024-10-25 |
| Genre | : Computers |
| ISBN | : 1040154263 |
The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.
| Author | : Abhineet Saini |
| Publisher | : CRC Press |
| Total Pages | : 385 |
| Release | : 2023-11-15 |
| Genre | : Technology & Engineering |
| ISBN | : 1000983455 |
This book, which is part of a two-volume handbook set, gives a comprehensive description of recent developments in materials science and manufacturing technology, aiming primarily at its applications in biomedical science, advanced engineering materials, conventional/non-conventional manufacturing techniques, sustainable engineering design, and related domains. Manufacturing Engineering and Materials Science: Tools and Applications provides state-of-the-art research conducted in the fields of technological advancements in surface engineering, tribology, additive manufacturing, precision manufacturing, electromechanical systems, and computer-assisted design and manufacturing. The book captures emerging areas of materials science and advanced manufacturing engineering and presents the most recent trends in research for emerging researchers, field engineers, and academic professionals.
| Author | : Pushpa Singh |
| Publisher | : Springer Nature |
| Total Pages | : 357 |
| Release | : |
| Genre | : |
| ISBN | : 9819704480 |
| Author | : Weifeng Wei |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 292 |
| Release | : 2024-07-23 |
| Genre | : Technology & Engineering |
| ISBN | : 1036407527 |
The rapid advancement of the modern industry necessitates a particularly crucial focus on the development of clean energy technologies. At present, energy storage systems mainly consist of alkali metal ion batteries, fuel cells, electrolytic capacitors, dielectric capacitors and supercapacitors. Organic functional materials are playing an indispensable role in this field. The key to advancing sustainable energy lies in the further understanding and developing of organic functional materials. This book can serve as a valuable reference for advanced graduate students and active researchers by providing a fundamental understanding of organic functional materials. Scientists and engineers who wish to diversify their research into clean energy will find this book immensely beneficial. The selected topics in this book offer a global perspective on the current state of this field. Evolving methodologies and techniques constantly provide new dimensions every year as the general interest in clean energy continues to grow.
| Author | : Sawyer D. Campbell |
| Publisher | : John Wiley & Sons |
| Total Pages | : 596 |
| Release | : 2023-08-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1119853915 |
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.
| Author | : Diego Carou |
| Publisher | : Springer Nature |
| Total Pages | : 216 |
| Release | : 2022-03-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3030910067 |
This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.
