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£119.82
Springer Artificial Intelligence for Materials Science 312
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Price distribution over 47 days • 3 price levels
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Description
Key Features
Learn how machine learning methods lower the costs of exploring new structures for unknown compounds.
Understand how to use predictive models to establish expectations that are later validated by experimental results.
Explore recent progress and new insights developed for the fields of materials science and engineering.
Gain knowledge on how searchable and interactive databases promote research into emerging materials.
Study the impact of high-quality property databases on the development of new advanced materials.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 3030683095
- Domain
- Amazon UK
- Release Date
- 27 March 2021
- Listed Since
- 19 December 2020
Barcode
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