Yield strength prediction of high-entropy alloys using machine learning

Yield strength prediction of high-entropy alloys using machine learning [electronic resource]

Yield strength at high temperature is an important parameter in the design and application of high entropy alloys (HEAs). However, the experimental measurement of yield strength at high temperature is quite costly, complicated, and time-consuming. Therefore, it is essential to identify and apply a r...

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Online Access: Full Text (via OSTI)
Corporate Author: United States. National Nuclear Security Administration
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2020.
Subjects:
36 materials science
High entropy alloys
Random forest model
Yield strength prediction
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Materials science

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Call Number: E 1.99:1865395
E 1.99:1865395 Available

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