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Guillermo Vazquez Tovar

Texas A&M University - Department of Materials Science and Engineering

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An Interpretable Boosting-Based Predictive Model for Transformation Temperatures of Shape Memory Alloys

Number of pages: 12 Posted: 06 Dec 2022 Last Revised: 19 Feb 2024
Sina Zadeh, Amir Behbahanian, John Broucek, Mingzhou Fan, Guillermo Vazquez Tovar, Mohammad Noroozi, William Trehern, Xiaoning Qian, Ibrahim Karaman and R. Arroyave
Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Electrical & Computer Engineering, Texas A&M University - Department of Materials Science and Engineering, University of South Florida - Department of Industrial & Management, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Electrical & Computer Engineering, Texas A&M University - Department of Materials Science and Engineering and Texas A&M University - Department of Materials Science and Engineering
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Abstract:

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Shape Memory Alloys, Machine Learning, Martensitic transformation, Phase Transformation, Feature Engineering