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Updated: Jan 29, 2026

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基于机器学习的Fe-Co-Cr-Ni-Mn-Al-Ti多元元素合金的设计

Xiaotian Xu1, Zhongping He1, Kaiyuan Zheng1

  • 1School of Mechanical Engineering, Chengdu University, Chengdu 610106, China.

Materials (Basel, Switzerland)
|January 28, 2026
PubMed
概括

本研究介绍了一种机器学习框架,用于预测多主元素合金 (MPEA) 的抗拉强度和可塑性. XGBoost模型准确地预测了合金性能,从而实现了具有成本效益的新合金设计.

关键词:
设计 设计 设计 设计机器学习是机器学习.机械性质 机械性质 机械性质多个主要元素的多个主要元素.预测 预测 预测 预测

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