Experimentally Validated and Empirically Compared Machine Learning Approach for Predicting Yield Strength of Additively Manufactured Multi-Principal Element Alloys from Co–Cr–Fe–Mn–Ni System
Research article (Metallurgical and Materials Transactions A, 2024) · cited 12× · AI/ML
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Experimentally Validated and Empirically Compared Machine Learning Approach for Predicting Yield Strength of Additively Manufactured Multi-Principal Element Alloys from Co–Cr–Fe–Mn–Ni System
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Experimentally Validated and Empirically Compared Machine Learning Approach for Predicting Yield Strength of Additively Manufactured Multi-Principal Element Alloys from Co–Cr–Fe–Mn–Ni System is a scholarly article[1].
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- Experimentally Validated and Empirically Compared Machine Learning Approach for Predicting Yield Strength of Additively Manufactured Multi-Principal Element Alloys from Co–Cr–Fe–Mn–Ni System's instance of is recorded as scholarly article[2].