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Yukinori Yamamoto

Government of the United States of America - Materials Science and Technology Division

Oak Ridge, TN

United States

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Modern Data Analytics Approach to Predict Creep of High-Temperature Alloys

Number of pages: 48 Posted: 20 Nov 2018
Dongwon Shin, Yukinori Yamamoto, Michael P. Brady, Sangkeun Lee and James Haynes
Government of the United States of America - Materials Science and Technology Division, Government of the United States of America - Materials Science and Technology Division, Government of the United States of America - Materials Science and Technology Division, Government of the United States of America - Computer Science and Mathematics Division and Government of the United States of America - Materials Science and Technology Division
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Abstract:

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high-temperature alloys, creep, correlation analysis, machine learning, features, computational thermodynamics