Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch. Bestandsnummer des Verk�ufers 9780128222492

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Computational and Data-Driven Chemistry Using Artificial Intelligence

Takashiro Akitsu

Verlag: Elsevier, 2021

ISBN 10: 0128222492 ISBN 13: 9780128222492

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Zustand: New. pp. 278. Bestandsnummer des Verk�ufers 26389038286

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Computational and Data-driven Chemistry Using Artificial Intelligence : Fundamentals, Methods and Applications

Akitsu, Takashiro (EDT)

Verlag: Elsevier, 2021

ISBN 10: 0128222492 ISBN 13: 9780128222492

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Computational and Data-Driven Chemistry Using Artificial Intelligence

Akitsu Takashiro

Verlag: Elsevier, 2021

ISBN 10: 0128222492 ISBN 13: 9780128222492

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Zustand: New. pp. 278. Bestandsnummer des Verk�ufers 18389038276

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Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications

Verlag: Elsevier Science & Technology|Elsevier, 2021

ISBN 10: 0128222492 ISBN 13: 9780128222492

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 harn. Bestandsnummer des Verk�ufers 414829328

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Computational and Data-Driven Chemistry Using Artificial Intelligence : Fundamentals, Methods and Applications

Takashiro Akitsu

Verlag: Elsevier Science & Technology, Elsevier, 2021

ISBN 10: 0128222492 ISBN 13: 9780128222492

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verk�ufers 9780128222492

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