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Materials Discovery and Design By Means of Data Science and Optimal Learning
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Springer Series in Materials Science
Materials Discovery and Design
By Means of Data Science and Optimal Learning
Turab Lookman | Stephan Eidenbenz | Frank Alexander | Cris Barnes
Science / Physics / Mathematical & Computational
Develops a new paradigm and way of thinking how data science can guide materials discoveries
Describes information-theoretic tools and their application to materials science
Covers both analysis and processing of large scale computational and experimental data in materials science
With contributions from an interdisciplinary group of experts in the field
| Publication Date: | 19 January 2019 |
| Publisher: | Springer International Publishing |
| Imprint: | Springer |
| ISBN-13: | 9783030076023 |
| Format: | Paperback / softback |
| Page Count: | 256 |