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 ePUB, Wiley-VCH, 14.02.2013, Wiley-VCH, 2013<
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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. eBook Cristian V. Ciobanu#Cai-Zhuan Wang#Kai-Ming Ho ePUB, Wiley-VCH, 14.02.2013, Wiley-VCH, 2013<
Thalia.de
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Cristian V. Ciobanu, Cai-Zhuan Wang, Kai-Ming Ho: Atomic Structure Prediction of Nanostructures, Clusters and Surfaces(Mieten. Jahres-Abopreis pro Monat)
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 ePUB, Wiley-VCH, 14.02.2013, Wiley-VCH, 2013<
Nr. 39568444. Versandkosten:, Sofort per Download lieferbar, DE. (EUR 0.00)
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 ePUB, Wiley-VCH, 14.02.2013, Wiley-VCH, 2013<
Nr. 39568444. Versandkosten:, Sofort per Download lieferbar, DE. (EUR 0.00)
Cristian V. Ciobanu, Cai-Zhuan Wang, Kai-Ming Ho: Atomic Structure Prediction of Nanostructures, Clusters and Surfaces(Mieten. Jahres-Abopreis pro Monat)
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Buch in der Datenbank seit 2012-07-22T10:50:10+02:00 (Berlin) Detailseite zuletzt geändert am 2024-04-15T12:26:25+02:00 (Berlin) ISBN/EAN: 9783527655045
ISBN - alternative Schreibweisen: 3-527-65504-2, 978-3-527-65504-5 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: wang, zhu, ming, ciobanu Titel des Buches: nan, surf, cluster, predict, brief wang
Daten vom Verlag:
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: 2013-02-14 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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