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Forventes på lager: 24-05-2025
This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. The authors begin with essential knowledge on polymer data representations and neural network architectures, then progress to deep learning frameworks for property prediction and inverse polymer design.
| Forlag | Springer International Publishing AG |
| Forfattere | Gang Liu, Eric Inae, Meng Jiang |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 24-05-2025 |
| Første udgivelsesår | 2025 |
| Serie | Synthesis Lectures on Data Mining and Knowledge Discovery |
| Illustrationer | 28 Illustrations, color; 3 Illustrations, black and white; XII, 123 p. 31 illus., 28 illus. in color. |
| Originalsprog | Switzerland |
| Sideantal | 123 |
| Indbinding | Hardback |
| Forlag | Springer International Publishing AG |
| Sideoplysninger | 123 pages, 28 Illustrations, color; 3 Illustrations, black and white; XII, 123 p. 31 illus., 28 illu |
| Mål | 240 x 168 |
| ISBN-13 / EAN-13 | 9783031847318 |