Application Of Artificial Intelligence In New Materials Discovery
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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.
Accelerated Materials Discovery
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Author : Phil De Luna
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-02-21
Accelerated Materials Discovery written by Phil De Luna 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 2022-02-21 with Computers categories.
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).
Semiconductors And Superconductors
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Author : Ron Legarski
language : en
Publisher: SolveForce
Release Date : 2024-09-22
Semiconductors And Superconductors written by Ron Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-22 with Technology & Engineering categories.
"Semiconductors and Superconductors: From Invention to Innovation" is a comprehensive exploration of the fundamental technologies that power modern electronics, energy systems, and computing. Written by Ron Legarski, a leading expert in telecommunications and technology solutions, this book delves into the discovery, evolution, and future applications of semiconductors and superconductors—two cornerstones of modern science and engineering. The book is designed for a wide audience, from professionals in the tech industry and academic researchers to students and general readers interested in understanding the science and technology that drive today’s digital world. Semiconductors are the building blocks of every microchip, transistor, and integrated circuit—essential components in everything from smartphones to solar cells. Superconductors, on the other hand, have the potential to revolutionize fields like energy transmission, quantum computing, and medical imaging by enabling technologies that operate with zero electrical resistance. This book covers the key milestones in the development of semiconductors and superconductors, starting with the invention of the transistor and the discovery of superconductivity. It also dives into the applications of these technologies in industries such as telecommunications, computing, energy systems, and medical technology, demonstrating their far-reaching impact on society. Key topics include: The physics of semiconductors and superconductors, explained in accessible language. The history and evolution of transistors, integrated circuits, and quantum devices. How superconducting materials are used in applications ranging from MRI machines to high-speed trains. The role of semiconductors in smartphones, AI systems, and energy-efficient power grids. Future research directions, including the pursuit of room-temperature superconductors and wide-bandgap semiconductors like SiC and GaN. The convergence of AI, machine learning, and nanotechnology in designing next-generation semiconductor and superconductor devices. The book also provides a forward-looking perspective on how these technologies will shape the future, particularly in fields like quantum computing, artificial intelligence, and renewable energy systems. With chapters organized for easy navigation, technical glossaries, and suggested reading for further exploration, "Semiconductors and Superconductors: From Invention to Innovation" is an essential resource for anyone looking to understand the technological forces that are driving the world forward.
Artificial Intelligence In Material Science
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Author : Mohamed Arezki Mellal
language : en
Publisher: CRC Press
Release Date : 2024-12-11
Artificial Intelligence In Material Science written by Mohamed Arezki Mellal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Technology & Engineering categories.
Artificial intelligence (AI) in the form of machine learning and nature-inspired optimization algorithms are vastly used in material science. These techniques improve many quality metrics, such as reliability and ergonomics. This book highlights the recent challenges in this field and helps readers to understand the subject and develop future works. It reviews the latest methods and applications of AI in material science. It covers a wide range of topics, including Material processing; Properties prediction; Conventional machining, such as turning, boring, grinding, and milling; non-conventional machining, such as electrical discharge machining, electrochemical machining, laser machining, plasma machining, ultrasonic machining, chemical machining, and water-jet machining; Machine tools, such as programming, design, and maintenance. AI techniques reviewed in the book include Machine learning, Fuzzy logic, Genetic algorithms, Particle swarm optimization, Cuckoo search, Grey wolf optimizer, and Ant colony optimization.
Machine Learning In Chemistry
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Author : Hugh M Cartwright
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-07-15
Machine Learning In Chemistry written by Hugh M Cartwright and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Science categories.
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Energy Storage And Conversion Materials
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Author : Ngoc Thanh Thuy Tran
language : en
Publisher: CRC Press
Release Date : 2023-05-03
Energy Storage And Conversion Materials written by Ngoc Thanh Thuy Tran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-03 with Technology & Engineering categories.
This book explores the fundamental properties of a wide range of energy storage and conversion materials, covering mainstream theoretical and experimental studies and their applications in green energy. It presents a thorough investigation of diverse physical, chemical, and material properties of rechargeable batteries, supercapacitors, solar cells, and fuel cells, covering the development of theoretical simulations, machine learning, high-resolution experimental measurements, and excellent device performance. Covers potential energy storage (rechargeable batteries and supercapacitors) and energy conversion (solar cells and fuel cells) materials Develops theoretical predictions and experimental observations under a unified quasi-particle framework Illustrates up-to-date calculation results and experimental measurements Describes successful synthesis, fabrication, and measurements, as well as potential applications and near-future challenges Promoting a deep understanding of basic science, application engineering, and commercial products, this work is appropriate for senior graduate students and researchers in materials, chemical, and energy engineering and related disciplines.
Application Of Artificial Intelligence In Wastewater Treatment
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Author : Shikha Gulati
language : en
Publisher: Springer Nature
Release Date : 2024-09-09
Application Of Artificial Intelligence In Wastewater Treatment written by Shikha Gulati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-09 with Science categories.
This book offers a comprehensive exploration of the integration of artificial intelligence (AI) techniques in addressing challenges and optimizing processes within wastewater treatment. The coverage of the book spans a spectrum of applications, including AI-driven monitoring and control systems, predictive modeling for pollutant removal, and the development of smart sensor networks for real-time data analysis in wastewater treatment plants. By amalgamating AI methodologies with wastewater treatment processes, the book provides insights into enhancing efficiency, reducing costs, and mitigating environmental impacts. In the current research scenario, the theme of the book is highly pertinent as it responds to the pressing need for sustainable and efficient wastewater treatment solutions. The book defines the theme by elucidating how AI technologies, such as machine learning algorithms and data analytics, can revolutionize wastewater treatment processes by enabling proactive decision-making, optimizing resource allocation, and predicting potential system failures. This intersection of AI and wastewater treatment not only addresses operational challenges but also contributes to the broader goal of achieving environmentally conscious and economically viable solutions.
Artificial Intelligence Aided Materials Design
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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.
Innovative Materials For Environmental And Aerospace Applications
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Author : Amrousse, Rachid
language : en
Publisher: IGI Global
Release Date : 2024-12-05
Innovative Materials For Environmental And Aerospace Applications written by Amrousse, Rachid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Technology & Engineering categories.
In settings where environmentally friendly practices and policies are prioritized, sustainability and technological progress thrive, making it essential to study and evaluate innovative approaches. Emerging research in materials science is driving innovative solutions for environmental and aerospace engineering by developing materials that are lighter, stronger, and more sustainable. These advancements not only support greener technologies but also enhance performance, pushing the boundaries of what is possible in aerospace and environmental applications. Innovative Materials for Environmental and Aerospace Applications serves as an inclusive compilation of cutting-edge studies that address important challenges in two connected fields. It explores unique materials and methods that not only strengthen performance but also promote environmental stewardship. Covering topics such as aerospace engineering, hydrogen production, and water purification, this book is an excellent resource for environmental scientists, aerospace professionals, materials scientists, sustainability professionals, academicians, researchers, graduate and postgraduate students, and more.
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.