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Materials Discovery and Design: By Means of Data Science and Optimal Learning - Springer Series in Materials Science 2018 edition
Materials Discovery and Design: By Means of Data Science and Optimal Learning - Springer Series in Materials Science
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.
256 pages, 88 Illustrations, color; 10 Illustrations, black and white; XVI, 256 p. 98 illus., 88 ill
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | October 4, 2018 |
| ISBN13 | 9783319994642 |
| Publishers | Springer International Publishing AG |
| Pages | 256 |
| Dimensions | 150 × 220 × 20 mm · 557 g |
| Language | German |
| Editor | Alexander, Frank |
| Editor | Barnes, Cris |
| Editor | Eidenbenz, Stephan |
| Editor | Lookman, Turab |