Machine Learning For Advanced Functional Materials

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Machine Learning For Advanced Functional Materials
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Author : Nirav Joshi
language : en
Publisher: Springer Nature
Release Date : 2023-05-22
Machine Learning For Advanced Functional Materials written by Nirav Joshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Science categories.
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.
Handbook Of Research On Advanced Functional Materials For Orthopedic Applications
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Author : Ranjith, R.
language : en
Publisher: IGI Global
Release Date : 2023-08-29
Handbook Of Research On Advanced Functional Materials For Orthopedic Applications written by Ranjith, R. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-29 with Technology & Engineering categories.
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.
Advanced Functional Materials For Disease Diagnosis Drug Delivery And Tissue Repair
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Author : Liqun Yang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-04-24
Advanced Functional Materials For Disease Diagnosis Drug Delivery And Tissue Repair written by Liqun Yang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Technology & Engineering categories.
In the contemporary landscape of science and technology, the exploration of advanced functional materials is gaining prominence, particularly in the realm of biomedicine. These materials play a pivotal role in disease diagnosis, where nanomaterials serve as contrast agents for magnetic resonance imaging, enhancing image resolution and clarity. This improvement provides healthcare professionals with a more precise foundation for diagnosis. Additionally, advanced functional materials find application in biosensors, enabling highly sensitive disease detection. The versatility of advanced functional materials extends to drug delivery and controlled release, aiming to enhance drug efficacy and bioavailability. Nano-drug carriers, for instance, can precisely deliver chemotherapeutic drugs to tumour sites, minimizing toxic side effects and improving patients' quality of life. Furthermore, these materials serve as carriers for gene therapy and cell therapy, opening new avenues for future therapeutic approaches. Tissue engineering benefits significantly from advanced functional materials, especially biocompatible materials used in crafting medical devices such as artificial organs, joints, and blood vessels. This not only offers improved medical solutions but also expands possibilities in drug carriers and gene therapy within the realm of tissue engineering.
Materials Informatics I
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Author : Kunal Roy
language : en
Publisher: Springer Nature
Release Date : 2025-05-10
Materials Informatics I written by Kunal Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-10 with Science categories.
This contributed volume explores the integration of machine learning and cheminformatics within materials science, focusing on predictive modeling techniques. It begins with foundational concepts in materials informatics and cheminformatics, emphasizing quantitative structure-property relationships (QSPR). The volume then presents various methods and tools, including advanced QSPR models, quantitative read-across structure-property relationship (q-RASPR) models, optimization strategies with minimal data, and in silico studies using different descriptors. Additionally, it explores machine learning algorithms and their applications in materials science, alongside innovative modeling approaches for quantum-theoretic properties. Overall, the book serves as a comprehensive resource for understanding and applying machine learning in the study and development of advanced materials and is a useful tool for students, researchers and professionals working in these areas.
Sustainable Materials
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Author : Akshansh Mishra
language : en
Publisher: CRC Press
Release Date : 2024-10-25
Sustainable Materials written by Akshansh Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Computers categories.
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.
Advanced Functional Materials For Optical And Hazardous Sensing
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Author : Rakesh Kumar Sonker
language : en
Publisher: Springer Nature
Release Date : 2023-11-02
Advanced Functional Materials For Optical And Hazardous Sensing written by Rakesh Kumar Sonker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-02 with Science categories.
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.
Artificial Intelligence For Materials Science
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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.
Manufacturing Engineering And Materials Science
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Author : Abhineet Saini
language : en
Publisher: CRC Press
Release Date : 2023-11-15
Manufacturing Engineering And Materials Science written by Abhineet Saini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-15 with Technology & Engineering categories.
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.
Data Analytics And Machine Learning
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Author : Pushpa Singh
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Data Analytics And Machine Learning written by Pushpa Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.
Nature Inspired Sensors
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Author : Hossam Haick
language : en
Publisher: Elsevier
Release Date : 2024-10-24
Nature Inspired Sensors written by Hossam Haick and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-24 with Science categories.
Nature-Inspired Sensors presents and discusses the basic principles and latest developments in nature-inspired sensing and biosensing materials as well as the design and mechanisms for analyzing their potential in multifunctional sensing applications.The book starts with a comprehensive review of certain fundamental mechanisms in different living creatures, including humans, animals, and plants. It presents and discusses ways for imitating various nature-inspired structural features and their functional properties, such as hierarchical, interlocked, porous, and bristle-like structures and hetero-layered brick-and-mortar structures.It also highlights the utility of these structures and their properties for sensing functions, which include static coloration, self-cleaning, adhesive, underwater navigation and object detection, electric charge generation, and sensitive olfactory functions for detecting various substances. This is followed by an appraisal of accumulating knowledge and its translation from the laboratory to the point-of-care phase, using selective sensors as well as desktop and wearable artificial sensing devices, for example, electronic noses and electronic skins, in conjunction with AI-assisted data processing and decision-making in the targeted field of application.In addition, the book offers an insight into the challenges of continuing the development of nature-inspired smart sensing and biosensing technology and their wider availability, which can be substantially improved. It is a valuable reference for graduates, undergraduates, researchers, and working professionals in the fields of chemistry, materials science, and biomedical and environmental science. - Discusses the current strategies for fabricating nature-derived bio/chemical sensors - Presents ways to apply nature-derived bio/chemical sensors in real life - Describes the future of nature-derived bio/chemical sensors