| 书目名称 | Information Science for Materials Discovery and Design |
| 编辑 | Turab Lookman,Francis J. Alexander,Krishna Rajan |
| 视频video | |
| 概述 | One of the first books on materials discovery strategy.Emphasizes the paradigm of codesign.Brings together diverse expertise to improve the model for materials discovery.Includes supplementary materia |
| 丛书名称 | Springer Series in Materials Science |
| 图书封面 |  |
| 描述 | .This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new mate |
| 出版日期 | Book 2016 |
| 关键词 | Accelerated Materials Discovery; Applying MQSPRs; Code Sign; Complex Formulations and Molecules; Data-dr |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-23871-5 |
| isbn_softcover | 978-3-319-79541-6 |
| isbn_ebook | 978-3-319-23871-5Series ISSN 0933-033X Series E-ISSN 2196-2812 |
| issn_series | 0933-033X |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 16:33:40
