Structural Material Property Tailoring Using Deep Neural Networks
Author:
Affiliation:
1. Pratt & Whitney
2. United Technologies Corporation
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2019-1703
Reference22 articles.
1. Advances in Physical Metallurgy and Processing of Steels. Design of Ferritic Creep-resistant Steels.
2. Neural network model of creep strength of austenitic stainless steels
3. The inorganic crystal structure data base
4. CRYSTMET: a database of the structures and powder patterns of metals and intermetallics
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