9783319994642 - materials discovery and design: by means of data science and optimal learning: 280 (springer series in materials science, 280) (11 resultados)
Materials Discovery and Design: By Means of Data Science and Optimal Learning (Springer Series in Materials Science, 280, Band 280) [Hardcover] Lookman, Turab; Eidenbenz, Stephan; Alexander, Frank and Barnes, Cris
Lookman, Turab; Eidenbenz, Stephan; Alexander, Frank; Barnes, Cris
Idioma: Inglés
Editorial: Springer 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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- Primera edición
Librería: SpringBooks, Berlin, , AlemaniaSpringBooks
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EUR 84,68
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Hardcover. Condición: As New. 1. Auflage. from Germany, will be dispatched immediately.
Idioma: Inglés
Editorial: Springer 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 176,75
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Condición: New. In.
Idioma: Inglés
Editorial: Springer 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: Majestic Books, Hounslow, , Reino UnidoMajestic Books
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EUR 200,12
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Condición: New.
Idioma: Inglés
Editorial: Springer 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 185,68
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications.The challenging open ques…tions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role ofinference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key toachieving the desired goals of real time analysis and feedback.Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes ofin situspatially and temporally resolved data per sample.The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
Idioma: Inglés
Editorial: Springer Verlag 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 256 pages. 9.50x6.50x0.80 inches. In Stock.
Idioma: Inglés
Editorial: Springer 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer International Publishing 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: moluna, Greven, , Alemaniamoluna
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EUR 153,73
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Develops a new paradigm for using data science to guide materials discoveriesDescribes information-theoretic tools and their application to materials scienceCovers both analysis and processing of large scale… computational and experiment.
Idioma: Inglés
Editorial: Springer International Publishing Okt 2018 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 181,89
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications.The chall…enging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role ofinference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key toachieving the desired goals of real time analysis and feedback.Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes ofin situspatially and temporally resolved data per sample.The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader. 272 pp. Englisch.
Idioma: Inglés
Editorial: Springer International Publishing, Springer International Publishing Okt 2018 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 181,89
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challeng…ing open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.
Idioma: Inglés
Editorial: Springer 2018
Serie: Springer Series in Materials Science, Libro 189 de 233. Libro 189 de 233 - Springer Series in Materials Science
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- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 237,24
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Condición: New. PRINT ON DEMAND.
