Approaching human intelligence through chemical systems: Development of unconventional chemical artificial intelligence

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Publisher : Frontiers Media SA
ISBN 13 : 2832539947
Total Pages : 102 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Approaching human intelligence through chemical systems: Development of unconventional chemical artificial intelligence by : Pier Luigi Gentili

Download or read book Approaching human intelligence through chemical systems: Development of unconventional chemical artificial intelligence written by Pier Luigi Gentili and published by Frontiers Media SA. This book was released on 2023-11-27 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although human intelligence is deeply investigated by neuroscientists, psychologists, philosophers, and AI researchers, we still lack of a widely accepted definition of what it is. If we exploit the emergence theory from Complexity Science to give a definition, we might state that human intelligence is the emergent property of the human nervous system. Such fascinating emergent property allows us to handle both accurate and vague information by computing with numbers and words. Moreover, it allows us to reason, speak and take rational decisions in an environment of uncertainty, partiality and relativity of truth, when the “Incompatibility Principle” holds: “As the complexity of a system increases, accuracy and significance become almost mutually exclusive characteristics of our statements”. Finally, our intelligence allows us recognizing quite easily variable patterns. Therefore, it is worthwhile investigating human intelligence and trying to mimic it by developing Artificial Intelligence. Nowadays, Artificial Intelligence is in vogue: it is applied in both basic and applied science. Traditionally, there are two strategies to develop Artificial Intelligence. A strategy consists in writing human-like intelligent software running in von Neumann computers or special-purpose hardware. The other strategy consists in neuromorphic engineering. Neuromorphic engineering implements surrogates of neurons through non-biological systems, either for neuro-prosthesis or to design brain-like computing machines. A third strategy is now blooming and it consists in using molecular, supramolecular, materials, and systems chemistry to mimic some basic functions of human intelligence such as Boolean, multi-valued logic gates, and Fuzzy logic. This third strategy is originating Chemical Artificial Intelligence (CAI). A relevant purpose of CAI is to design modules for Chemical Robots. A Chemical Robot is thought of as a molecular assembly that reacts autonomously to its environment by probing it with molecular sensors, making decisions by its intrinsic Artificial Neural Networks or logic gates, and performing actions upon its environment through molecular effectors. The intelligent activities of any Chemical Robot should be sustained energetically by a metabolic unit. Chemical Robots should be easily miniaturized and implanted in living beings to interplay with cells or organelles for biomedical applications. They should become auxiliary elements of the natural immune system.

Applications of Artificial Intelligence in Process Systems Engineering

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Publisher : Elsevier
ISBN 13 : 012821743X
Total Pages : 542 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren

Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Artificial Intelligence in Chemical Engineering

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Publisher : Elsevier
ISBN 13 : 0080571212
Total Pages : 593 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Artificial Intelligence in Chemical Engineering by : Thomas E. Quantrille

Download or read book Artificial Intelligence in Chemical Engineering written by Thomas E. Quantrille and published by Elsevier. This book was released on 2012-12-02 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. Allows the reader to learn AI quickly using inexpensive personal computers Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions Includes a computer diskette for an illustrated case study Demonstrates an expert system for separation synthesis (EXSEP) Presents a detailed review of published literature on expert systems and neural networks in chemical engineering

Artificial Intelligence in Chemistry

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (136 download)

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Book Synopsis Artificial Intelligence in Chemistry by : José S. Torrecilla

Download or read book Artificial Intelligence in Chemistry written by José S. Torrecilla and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Using Artificial Intelligence in Chemistry and Biology

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Publisher : CRC Press
ISBN 13 : 9780367387334
Total Pages : 356 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Using Artificial Intelligence in Chemistry and Biology by : Hugh Cartwright

Download or read book Using Artificial Intelligence in Chemistry and Biology written by Hugh Cartwright and published by CRC Press. This book was released on 2019-08-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to furnish the working experimental scientist and newcomer alike with the background necessary to utilize these methods. In response to the growing interest in the potential scientific applications of AI, Using Artificial Intelligence in Chemistry and Biology explains in a lucid, straightforward manner how these methods are used by scientists and what can be accomplished with them. Designed for those with no prior knowledge of AI, computer science, or programming, this book efficiently and quickly takes you to the point at which meaningful scientific applications can be investigated. The approach throughout is practical and direct, employing figures and illustrations to add clarity and humor to the topics at hand. Unique in scope, addressing the needs of scientists across a range of disciplines, this book provides both a broad overview and a detailed introduction to each of the techniques discussed. Chapters include an introduction to artificial intelligence, artificial neural networks, self-organizing maps, growing cell structures, evolutionary algorithms, cellular automata, expert systems, fuzzy logic, learning classifier systems, and evolvable developmental systems. The book also comes with a CD containing a complete version of the EJS software with which most of the calculations were accomplished. Encouraging a broader application of AI methods, this seminal work gives software designers a clearer picture of how scientists use AI and how to address those needs, and provides chemists, biologists, physicists, and others with the tools to increase the speed and efficiency of their work.

Using Artificial Intelligence in Chemistry and Biology

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Author :
Publisher : CRC Press
ISBN 13 : 9780849384127
Total Pages : 360 pages
Book Rating : 4.3/5 (841 download)

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Book Synopsis Using Artificial Intelligence in Chemistry and Biology by : Hugh Cartwright

Download or read book Using Artificial Intelligence in Chemistry and Biology written by Hugh Cartwright and published by CRC Press. This book was released on 2008-05-05 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to furnish the working experimental scientist and newcomer alike with the background necessary to utilize these methods. In response to the growing interest in the potential scientific applications of AI, Using Artificial Intelligence in Chemistry and Biology explains in a lucid, straightforward manner how these methods are used by scientists and what can be accomplished with them. Designed for those with no prior knowledge of AI, computer science, or programming, this book efficiently and quickly takes you to the point at which meaningful scientific applications can be investigated. The approach throughout is practical and direct, employing figures and illustrations to add clarity and humor to the topics at hand. Unique in scope, addressing the needs of scientists across a range of disciplines, this book provides both a broad overview and a detailed introduction to each of the techniques discussed. Chapters include an introduction to artificial intelligence, artificial neural networks, self-organizing maps, growing cell structures, evolutionary algorithms, cellular automata, expert systems, fuzzy logic, learning classifier systems, and evolvable developmental systems. The book also comes with a CD containing a complete version of the EJS software with which most of the calculations were accomplished. Encouraging a broader application of AI methods, this seminal work gives software designers a clearer picture of how scientists use AI and how to address those needs, and provides chemists, biologists, physicists, and others with the tools to increase the speed and efficiency of their work.

Philosophy and Theory of Artificial Intelligence

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Author :
Publisher : Springer
ISBN 13 : 9783642316739
Total Pages : 0 pages
Book Rating : 4.3/5 (167 download)

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Book Synopsis Philosophy and Theory of Artificial Intelligence by : Vincent Müller

Download or read book Philosophy and Theory of Artificial Intelligence written by Vincent Müller and published by Springer. This book was released on 2012-08-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

Systems Engineering and Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 3030772837
Total Pages : 566 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Systems Engineering and Artificial Intelligence by : William F. Lawless

Download or read book Systems Engineering and Artificial Intelligence written by William F. Lawless and published by Springer Nature. This book was released on 2021-11-02 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

Computational Intelligence in Control Engineering

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Publisher : CRC Press
ISBN 13 : 9780824719937
Total Pages : 320 pages
Book Rating : 4.7/5 (199 download)

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Book Synopsis Computational Intelligence in Control Engineering by : Robert E. King

Download or read book Computational Intelligence in Control Engineering written by Robert E. King and published by CRC Press. This book was released on 1999-02-16 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the theoretical and practical developments of an autonomous decision-making methodology, this work describes the strides made by intelligent systems and soft computing for the control of industrial systems. It uses practical examples of qualitative control techniques tested in industry and provides suitable intelligent computational algorithms and interfaces for industrial applications.

Sensorimotor Life

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Publisher : Oxford University Press
ISBN 13 : 0198786840
Total Pages : 309 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Sensorimotor Life by : Ezequiel A. Di Paolo

Download or read book Sensorimotor Life written by Ezequiel A. Di Paolo and published by Oxford University Press. This book was released on 2017 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on recent theoretical developments in the enactive approach to life and mind, this book elaborates a series of contributions to a non-representational theory of action and perception. These enactive ideas are applied and extended to provide a theory rich, naturalistic account of the sensorimotor meaning and agency.

Handbook Of Unconventional Computing (In 2 Volumes)

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Publisher : World Scientific
ISBN 13 : 9811235279
Total Pages : 1208 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Handbook Of Unconventional Computing (In 2 Volumes) by : Andrew Adamatzky

Download or read book Handbook Of Unconventional Computing (In 2 Volumes) written by Andrew Adamatzky and published by World Scientific. This book was released on 2021-08-18 with total page 1208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Did you know that computation can be implemented with cytoskeleton networks, chemical reactions, liquid marbles, plants, polymers and dozens of other living and inanimate substrates? Do you know what is reversible computing or a DNA microscopy? Are you aware that randomness aids computation? Would you like to make logical circuits from enzymatic reactions? Have you ever tried to implement digital logic with Minecraft? Do you know that eroding sandstones can compute too?This volume reviews most of the key attempts in coming up with an alternative way of computation. In doing so, the authors show that we do not need computers to compute and we do not need computation to infer. It invites readers to rethink the computer and computing, and appeals to computer scientists, mathematicians, physicists and philosophers. The topics are presented in a lively and easily accessible manner and make for ideal supplementary reading across a broad range of subjects.

Evaluating the Effectiveness of Artificial Intelligence Systems in Intelligence Analysis

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Publisher :
ISBN 13 : 9781977407252
Total Pages : 108 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Evaluating the Effectiveness of Artificial Intelligence Systems in Intelligence Analysis by : Daniel Ish

Download or read book Evaluating the Effectiveness of Artificial Intelligence Systems in Intelligence Analysis written by Daniel Ish and published by . This book was released on 2021 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors develop methods for assessing the impact of deploying artificial intelligence (AI) systems to support intelligence missions.

U.S. Government Research Reports

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Publisher :
ISBN 13 :
Total Pages : 1600 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis U.S. Government Research Reports by :

Download or read book U.S. Government Research Reports written by and published by . This book was released on 1964 with total page 1600 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling of Process Intensification

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Publisher : John Wiley & Sons
ISBN 13 : 3527610596
Total Pages : 422 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Modeling of Process Intensification by : Frerich J. Keil

Download or read book Modeling of Process Intensification written by Frerich J. Keil and published by John Wiley & Sons. This book was released on 2007-06-27 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining the knowledge involved in process engineering and process modeling, this is the first book to cover all modeling methods applicable to process intensification. Both the editors and authors are renowned experts from industry and academia in the various fields of process modeling and integrated chemical processes. Following an introduction to the topic, the book goes on to look at equipment and operational methods, monolithic catalysis, HEX, micro- and reverse flow reactors, catalytic and reactive distillation, the simulated-moving bed and vibration bubble column as well as ultrasound and ultrasonic reactors. A final chapter is devoted to processes under supercritical conditions. In its treatment of hot topics of multidisciplinary interest, this book is of great value to researchers and engineers alike.

The Fuzziness in Molecular, Supramolecular, and Systems Chemistry

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Publisher :
ISBN 13 : 9783039431786
Total Pages : 154 pages
Book Rating : 4.4/5 (317 download)

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Book Synopsis The Fuzziness in Molecular, Supramolecular, and Systems Chemistry by : Pier Luigi Gentili

Download or read book The Fuzziness in Molecular, Supramolecular, and Systems Chemistry written by Pier Luigi Gentili and published by . This book was released on 2020-10 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Logic is a good model for the human ability to compute words. It is based on the theory of fuzzy set. A fuzzy set is different from a classical set because it breaks the Law of the Excluded Middle. In fact, an item may belong to a fuzzy set and its complement at the same time and with the same or different degree of membership. The degree of membership of an item in a fuzzy set can be any real number included between 0 and 1. This property enables us to deal with all those statements of which truths are a matter of degree. Fuzzy logic plays a relevant role in the field of Artificial Intelligence because it enables decision-making in complex situations, where there are many intertwined variables involved. Traditionally, fuzzy logic is implemented through software on a computer or, even better, through analog electronic circuits. Recently, the idea of using molecules and chemical reactions to process fuzzy logic has been promoted. In fact, the molecular word is fuzzy in its essence. The overlapping of quantum states, on the one hand, and the conformational heterogeneity of large molecules, on the other, enable context-specific functions to emerge in response to changing environmental conditions. Moreover, analog input-output relationships, involving not only electrical but also other physical and chemical variables can be exploited to build fuzzy logic systems. The development of "fuzzy chemical systems" is tracing a new path in the field of artificial intelligence. This new path shows that artificially intelligent systems can be implemented not only through software and electronic circuits but also through solutions of properly chosen chemical compounds. The design of chemical artificial intelligent systems and chemical robots promises to have a significant impact on science, medicine, economy, security, and wellbeing. Therefore, it is my great pleasure to announce a Special Issue of Molecules entitled "The Fuzziness in Molecular, Supramolecular, and Systems Chemistry." All researchers who experience the Fuzziness of the molecular world or use Fuzzy logic to understand Chemical Complex Systems will be interested in this book.

Converging Technologies for Improving Human Performance

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Publisher : Springer Science & Business Media
ISBN 13 : 9401703590
Total Pages : 477 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Converging Technologies for Improving Human Performance by : Mihail C. Roco

Download or read book Converging Technologies for Improving Human Performance written by Mihail C. Roco and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: M. C. Roco and W.S. Bainbridge In the early decades of the 21st century, concentrated efforts can unify science based on the unity of nature, thereby advancing the combination of nanotechnology, biotechnology, information technology, and new technologies based in cognitive science. With proper attention to ethical issues and societal needs, converging in human abilities, societal technologies could achieve a tremendous improvement outcomes, the nation's productivity, and the quality of life. This is a broad, cross cutting, emerging and timely opportunity of interest to individuals, society and humanity in the long term. The phrase "convergent technologies" refers to the synergistic combination of four major "NBIC" (nano-bio-info-cogno) provinces of science and technology, each of which is currently progressing at a rapid rate: (a) nanoscience and nanotechnology; (b) biotechnology and biomedicine, including genetic engineering; (c) information technology, including advanced computing and communications; (d) cognitive science, including cognitive neuroscience. Timely and Broad Opportunity. Convergence of diverse technologies is based on material unity at the nanoscale and on technology integration from that scale.

Artificial Intelligence for Materials Science

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Publisher : Springer Nature
ISBN 13 : 3030683109
Total Pages : 231 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for Materials Science by : Yuan Cheng

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.