This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algo… Mehr…
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based on mimicking the processes of natural evolution have made their way from computer science disciplines to solid states physics and chemistry, where they have demonstrated their versatility and predictive power for many materials. Following an introduction and historical perspective, the text moves on to provide an in-depth description of the algorithm before describing its applications to crystal structure prediction, atomic clusters, surface and interface reconstructions, and quasi one-dimensional nanostructures. The final chapters provide a brief account of other methods for atomic structure optimization and perspectives on the future of the field. Atomic Structure Prediction of Nanostructures, Clusters and Surfaces eBook PDF 06.02.2013 eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Technik, Wiley-Vch Verlag GmbH, .201<
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algo… Mehr…
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based on mimicking the processes of natural evolution have made their way from computer science disciplines to solid states physics and chemistry, where they have demonstrated their versatility and predictive power for many materials. Following an introduction and historical perspective, the text moves on to provide an in-depth description of the algorithm before describing its applications to crystal structure prediction, atomic clusters, surface and interface reconstructions, and quasi one-dimensional nanostructures. The final chapters provide a brief account of other methods for atomic structure optimization and perspectives on the future of the field. Atomic Structure Prediction of Nanostructures, Clusters and Surfaces eBook PDF 06.02.2013 eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Technik, Wiley-VCH, .201<
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algo… Mehr…
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based on mimicking the processes of natural evolution have made their way from computer science disciplines to solid states physics and chemistry, where they have demonstrated their versatility and predictive power for many materials. Following an introduction and historical perspective, the text moves on to provide an in-depth description of the algorithm before describing its applications to crystal structure prediction, atomic clusters, surface and interface reconstructions, and quasi one-dimensional nanostructures. The final chapters provide a brief account of other methods for atomic structure optimization and perspectives on the future of the field. eBook Cristian V. Ciobanu#Cai-Zhuan Wang#Kai-Ming Ho 06.02.2013, Wiley-VCH, Wiley-VCH<
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This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algo… Mehr…
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based on mimicking the processes of natural evolution have made their way from computer science disciplines to solid states physics and chemistry, where they have demonstrated their versatility and predictive power for many materials. Following an introduction and historical perspective, the text moves on to provide an in-depth description of the algorithm before describing its applications to crystal structure prediction, atomic clusters, surface and interface reconstructions, and quasi one-dimensional nanostructures. The final chapters provide a brief account of other methods for atomic structure optimization and perspectives on the future of the field. Atomic Structure Prediction of Nanostructures, Clusters and Surfaces eBook PDF 06.02.2013 eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Technik, Wiley-Vch Verlag GmbH, .201<
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algo… Mehr…
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based on mimicking the processes of natural evolution have made their way from computer science disciplines to solid states physics and chemistry, where they have demonstrated their versatility and predictive power for many materials. Following an introduction and historical perspective, the text moves on to provide an in-depth description of the algorithm before describing its applications to crystal structure prediction, atomic clusters, surface and interface reconstructions, and quasi one-dimensional nanostructures. The final chapters provide a brief account of other methods for atomic structure optimization and perspectives on the future of the field. Atomic Structure Prediction of Nanostructures, Clusters and Surfaces eBook PDF 06.02.2013 eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Technik, Wiley-VCH, .201<
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algo… Mehr…
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based on mimicking the processes of natural evolution have made their way from computer science disciplines to solid states physics and chemistry, where they have demonstrated their versatility and predictive power for many materials. Following an introduction and historical perspective, the text moves on to provide an in-depth description of the algorithm before describing its applications to crystal structure prediction, atomic clusters, surface and interface reconstructions, and quasi one-dimensional nanostructures. The final chapters provide a brief account of other methods for atomic structure optimization and perspectives on the future of the field. eBook Cristian V. Ciobanu#Cai-Zhuan Wang#Kai-Ming Ho 06.02.2013, Wiley-VCH, Wiley-VCH<
Nr. 39284132. Versandkosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Sofort per Download lieferbar, zzgl. Versandkosten. (EUR 16.59)
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Buch in der Datenbank seit 2012-03-27T12:43:25+02:00 (Zurich) Detailseite zuletzt geändert am 2021-11-21T13:03:23+01:00 (Zurich) ISBN/EAN: 9783527655052
ISBN - alternative Schreibweisen: 3-527-65505-0, 978-3-527-65505-2 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: wang, zhu, ming, ciobanu Titel des Buches: nan, surf, cluster, predict
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Autor/in: Cristian V. Ciobanu; Cai-Zhuan Wang; Kai-Ming Ho Titel: Atomic Structure Prediction of Nanostructures, Clusters and Surfaces Verlag: Wiley-VCH; Wiley-VCH 220 Seiten Erscheinungsjahr: 2013-02-06 Sprache: Englisch 93,99 € (DE) 93,99 € (AT) Available
This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based on mimicking the processes of natural evolution have made their way from computer science disciplines to solid states physics and chemistry, where they have demonstrated their versatility and predictive power for many materials. Following an introduction and historical perspective, the text moves on to provide an in-depth description of the algorithm before describing its applications to crystal structure prediction, atomic clusters, surface and interface reconstructions, and quasi one-dimensional nanostructures. The final chapters provide a brief account of other methods for atomic structure optimization and perspectives on the future of the field.
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