A physics-based machine-learning approach for modeling the temperature-dependent yield strengths of medium- or high-entropy alloys

Research article (Applied Materials Today, 2023) · cited 14× · AI/ML
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A physics-based machine-learning approach for modeling the temperature-dependent yield strengths of medium- or high-entropy alloys

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A physics-based machine-learning approach for modeling the temperature-dependent yield strengths of medium- or high-entropy alloys is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A physics-based machine-learning approach for modeling the temperature-dependent yield strengths of medium- or high-entropy alloys. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-physics-based-machine-learning-approach-for-modeling-the-temperature-dependent-yield-strengths-of-medium-or-high-entro
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BibTeX @misc{4ortxyz_a-physics-based-machine-learning-approach-for-modeling-the-temperature-dependent-yield-strengths-of-medium-or-high-entro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A physics-based machine-learning approach for modeling the temperature-dependent yield strengths of medium- or high-entropy alloys}}, year = {2026}, url = {https://4ort.xyz/entity/a-physics-based-machine-learning-approach-for-modeling-the-temperature-dependent-yield-strengths-of-medium-or-high-entro}, note = {Accessed: 2026-05-24}}
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