Artificial Chemistries

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Artificial Chemistries

Author : Wolfgang Banzhaf
Publisher : MIT Press
ISBN 13 : 0262551527
Total Pages : 572 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Artificial Chemistries by : Wolfgang Banzhaf

Download or read book Artificial Chemistries written by Wolfgang Banzhaf and published by MIT Press. This book was released on 2024-03-19 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications. The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications. After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.

Computational and Data-Driven Chemistry Using Artificial Intelligence

Author : Takashiro Akitsu
Publisher : Elsevier
ISBN 13 : 0128232722
Total Pages : 280 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Computational and Data-Driven Chemistry Using Artificial Intelligence by : Takashiro Akitsu

Download or read book Computational and Data-Driven Chemistry Using Artificial Intelligence written by Takashiro Akitsu and published by Elsevier. This book was released on 2021-10-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offering the ability to process large or complex data-sets, compare molecular characteristics and behaviors, and help researchers design or identify new structures, Artificial Intelligence (AI) holds huge potential to revolutionize the future of chemistry. Volume 1 explores the fundamental knowledge and current methods being used to apply AI across a whole host of chemistry applications. Drawing on the knowledge of its expert team of global contributors, the book offers fascinating insight into this rapidly developing field and serves as a great resource for all those interested in exploring the opportunities afforded by the intersection of chemistry and AI in their own work. Part 1 provides foundational information on AI in chemistry, with an introduction to the field and guidance on database usage and statistical analysis to help support newcomers to the field. Part 2 then goes on to discuss approaches currently used to address problems in broad areas such as computational and theoretical chemistry; materials, synthetic and medicinal chemistry; crystallography, analytical chemistry, and spectroscopy. Finally, potential future trends in the field are discussed. Provides an accessible introduction to the current state and future possibilities for AI in chemistry Explores how computational chemistry methods and approaches can both enhance and be enhanced by AI Highlights the interdisciplinary and broad applicability of AI tools across a wide range of chemistry fields

Chemistry and Biology of Artificial Nucleic Acids

Author : Martin Egli
Publisher : Wiley-VCH
ISBN 13 : 9783906390673
Total Pages : 0 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis Chemistry and Biology of Artificial Nucleic Acids by : Martin Egli

Download or read book Chemistry and Biology of Artificial Nucleic Acids written by Martin Egli and published by Wiley-VCH. This book was released on 2012-04-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide a comprehensive overview of the field of artificial nucleic acids. Covering a tremendous amount of literature on the chemistry, biology, and structure of artificial nucleic acids, it will constitute an invaluable source of information for the specialist and for young researchers interested in starting a career in this fascinating field of research alike. This book combines the contributions of many of the major players in this research field, and covers the synthesis of sugar-, base- and backbone-modified nucleic acids, their structural characteristics studied by X-ray crystallography, and NMR in solution as well as their chemical and biological properties.

Artificial Chemistries

Author : Peter Dittrich
Publisher :
ISBN 13 :
Total Pages : 61 pages
Book Rating : 4.:/5 (765 download)

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Book Synopsis Artificial Chemistries by : Peter Dittrich

Download or read book Artificial Chemistries written by Peter Dittrich and published by . This book was released on 2000 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Immune Systems

Author : Emma Hart
Publisher : Springer Science & Business Media
ISBN 13 : 3642145469
Total Pages : 340 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Artificial Immune Systems by : Emma Hart

Download or read book Artificial Immune Systems written by Emma Hart and published by Springer Science & Business Media. This book was released on 2010-07-15 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Artificial Immune Systems, ICARIS 2010, held in Edinburgh, UK, in July 2010. The 23 revised full papers and extended immune modeling abstracts presented together with 9 PerAda workshop position statements were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on immune system modeling; theoretical artificial immune systems; and applied artificial immune systems.

Artificial Intelligence in Chemistry

Author : Z. Hippe
Publisher : Elsevier
ISBN 13 : 1483291677
Total Pages : 292 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Artificial Intelligence in Chemistry by : Z. Hippe

Download or read book Artificial Intelligence in Chemistry written by Z. Hippe and published by Elsevier. This book was released on 2013-10-22 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive overview of the application of artificial intelligence methods (AI) in chemistry contains an in-depth summary of the most interesting achievements of modern AI, namely, problem-solving in molecular structure elucidation and in syntheses design. The book provides a brief history of AI as a branch of computer science. It also gives an overview of the basic methods employed for searching the solution space (thoroughly exemplified by chemical problems), together with a profound and expert discussion on many questions that may be raised by modern chemists wishing to apply computer-assisted methods in their own research. Moreover, it includes a survey of the most important literature references, covering all essential research in automated interpretation of molecular spectra to elucidate a structure and in syntheses design. A glossary of basic terms from computer technology for chemists is appended. This book is intended to make the emerging field of artificial intelligence understandable and accessible for chemists, who are not trained in computer methods for solving chemical problems. The author discusses step-by-step basic algorithms for structure elucidation and many aspects of the automated design of organic syntheses in order to integrate this fascinating technology into current chemical knowledge.

Modern Inorganic Synthetic Chemistry

Author : Ruren Xu
Publisher : Elsevier
ISBN 13 : 0444635955
Total Pages : 810 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Modern Inorganic Synthetic Chemistry by : Ruren Xu

Download or read book Modern Inorganic Synthetic Chemistry written by Ruren Xu and published by Elsevier. This book was released on 2017-02-11 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Inorganic Synthetic Chemistry, Second Edition captures, in five distinct sections, the latest advancements in inorganic synthetic chemistry, providing materials chemists, chemical engineers, and materials scientists with a valuable reference source to help them advance their research efforts and achieve breakthroughs. Section one includes six chapters centering on synthetic chemistry under specific conditions, such as high-temperature, low-temperature and cryogenic, hydrothermal and solvothermal, high-pressure, photochemical and fusion conditions. Section two focuses on the synthesis and related chemistry problems of highly distinct categories of inorganic compounds, including superheavy elements, coordination compounds and coordination polymers, cluster compounds, organometallic compounds, inorganic polymers, and nonstoichiometric compounds. Section three elaborates on the synthetic chemistry of five important classes of inorganic functional materials, namely, ordered porous materials, carbon materials, advanced ceramic materials, host-guest materials, and hierarchically structured materials. Section four consists of four chapters where the synthesis of functional inorganic aggregates is discussed, giving special attention to the growth of single crystals, assembly of nanomaterials, and preparation of amorphous materials and membranes. The new edition’s biggest highlight is Section five where the frontier in inorganic synthetic chemistry is reviewed by focusing on biomimetic synthesis and rationally designed synthesis. Focuses on the chemistry of inorganic synthesis, assembly, and organization of wide-ranging inorganic systems Covers all major methodologies of inorganic synthesis Provides state-of-the-art synthetic methods Includes real examples in the organization of complex inorganic functional materials Contains more than 4000 references that are all highly reflective of the latest advancement in inorganic synthetic chemistry Presents a comprehensive coverage of the key issues involved in modern inorganic synthetic chemistry as written by experts in the field

Machine Learning in Chemistry

Author : Hugh M. Cartwright
Publisher : Royal Society of Chemistry
ISBN 13 : 1788017897
Total Pages : 564 pages
Book Rating : 4.7/5 (88 download)

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Book Synopsis Machine Learning in Chemistry by : Hugh M. Cartwright

Download or read book Machine Learning in Chemistry written by Hugh M. Cartwright and published by Royal Society of Chemistry. This book was released on 2020-07-15 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Using Artificial Intelligence in Chemistry and Biology

Author : Hugh Cartwright
Publisher : CRC Press
ISBN 13 : 0849384141
Total Pages : 358 pages
Book Rating : 4.8/5 (493 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 358 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

Applications of Artificial Intelligence in Chemistry

Author : Hugh M. Cartwright
Publisher : Oxford University Press on Demand
ISBN 13 : 9780198557364
Total Pages : 92 pages
Book Rating : 4.5/5 (573 download)

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Book Synopsis Applications of Artificial Intelligence in Chemistry by : Hugh M. Cartwright

Download or read book Applications of Artificial Intelligence in Chemistry written by Hugh M. Cartwright and published by Oxford University Press on Demand. This book was released on 1993 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is clear that the techniques of artificial intelligence are useful for more than just the development of thinking machines; they constitute powerful problem-solving tools in their own right and expand the range of problems in science that can be tackled. AI methods can now be used on a routine basis by scientists in academic research as well as the commercial world, it is therefore vital that science students are exposed to, and understand these techniques. This is the first book topresent an introduction to AI methods for science undergraduates. The examples are drawn mainly from chemistry but the book is suited to a general scientific audience wanting to know more about how computers can help to understand and interpret science.

Machine Learning in Chemistry

Author : Jon Paul Janet
Publisher : American Chemical Society
ISBN 13 : 0841299005
Total Pages : 189 pages
Book Rating : 4.8/5 (412 download)

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Book Synopsis Machine Learning in Chemistry by : Jon Paul Janet

Download or read book Machine Learning in Chemistry written by Jon Paul Janet and published by American Chemical Society. This book was released on 2020-05-28 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important

Artificial Intelligence in Drug Discovery

Author : Nathan Brown
Publisher : Royal Society of Chemistry
ISBN 13 : 1839160543
Total Pages : 425 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown

Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

Artificial Intelligence in Chemistry

Author : José S. Torrecilla
Publisher : Frontiers Media SA
ISBN 13 : 2889638707
Total Pages : 89 pages
Book Rating : 4.8/5 (896 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 Frontiers Media SA. This book was released on 2020-07-17 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Transactions on Computational Systems Biology X

Author : Corrado Priami
Publisher : Springer Science & Business Media
ISBN 13 : 3540922725
Total Pages : 204 pages
Book Rating : 4.5/5 (49 download)

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Book Synopsis Transactions on Computational Systems Biology X by : Corrado Priami

Download or read book Transactions on Computational Systems Biology X written by Corrado Priami and published by Springer Science & Business Media. This book was released on 2008-12-18 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways, and at many levels, from the globalInternetdowntomicroandnanodevices. Manyofthesedevicesarehighly mobile and autonomous and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized c- puting systemsthat arecapableofoperating in changing environmentsandwith noisy input, and yet exhibit the desired behavior and response time, under c- straints such as energy consumption, size, and processing power. These systems should be able to adapt and learn how to react to unforeseen scenarios as well as to display properties comparable to social entities. The observation of nature has brought us many great and unforeseen concepts. Biological systems are able to handle many of these challenges with an elegance and e?ciency far beyond currenthumanartifacts. Basedonthisobservation,bio-inspiredapproacheshave been proposed as a means of handling the complexity of such systems. The goal is to obtain methods to engineer technical systems, which are of a stability and e?ciency comparable to those found in biological entities. This Special Issue on Biological and Biologically-inspired Communication contains the best papers from the Second International Conference on Bio- Inspired Models of Network, Information, and Computing Systems (BIONET- ICS 2007). The BIONETICS conference aims to bring together researchers and scientistsfromseveraldisciplines incomputerscienceandengineeringwhereb- inspired methods are investigated, as well as from bioinformatics, to deepen the information exchange and collaboration among the di?erent communities.

Data Science in Chemistry

Author : Thorsten Gressling
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110629453
Total Pages : 540 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Data Science in Chemistry by : Thorsten Gressling

Download or read book Data Science in Chemistry written by Thorsten Gressling and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-11-23 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity – data science – includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.

Knowledge-based Expert Systems in Chemistry

Author : Philip Judson
Publisher : Royal Society of Chemistry
ISBN 13 : 1788014715
Total Pages : 298 pages
Book Rating : 4.7/5 (88 download)

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Book Synopsis Knowledge-based Expert Systems in Chemistry by : Philip Judson

Download or read book Knowledge-based Expert Systems in Chemistry written by Philip Judson and published by Royal Society of Chemistry. This book was released on 2019-02-07 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition has been thoroughly revised and updated to reflect the advances in using knowledge-based expert systems for chemistry.

Artificial Intelligence for Materials Science

Author : Yuan Cheng
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.