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    • Machine Learning of Energy and Structure of Multicomponent Nb-Si Alloys via Feature Dimensionality Reduction and Augmentation

    • In the field of material design, researchers have systematically explored the impact of feature learning optimization on machine learning models predicting key properties of Nb ₅ Si ∝ alloys based on first principles calculations, providing important references for machine learning assisted material design and development.
    • Vol. 45, Issue 8, Pages: 1164-1172(2025)   

      Received:29 April 2025

      Revised:25 June 2025

      Accepted:25 June 2025

      Published:20 August 2025

    • DOI: 10.15980/j.tzzz.Z20250010     

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  • GAO J,TANG Y C,FANG L X,et al. Machine learning of energy and structure of multicomponent Nb-Si alloys via feature dimensionality reduction and augmentation[J]. Special Casting & Nonferrous Alloys,2025,45(8):1 164-1 172. DOI: 10.15980/j.tzzz.Z20250010.
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相关作者

LI Juntao 钢铁研究总院有限公司;北京钢研高纳科技股份有限公司
WU Jiantao 钢铁研究总院有限公司;北京钢研高纳科技股份有限公司;河北钢研德凯科技有限公司,涿州
WU Baoping 河北钢研德凯科技有限公司,涿州
WANG Xiaoyan 河北钢研德凯科技有限公司,涿州
CHENG Tijuan 北京钢研高纳科技股份有限公司
ZHANG Zhikun 河北钢研德凯科技有限公司,涿州
DI Yuting 河北钢研德凯科技有限公司,涿州
LI Yang 钢铁研究总院有限公司;北京钢研高纳科技股份有限公司;河北钢研德凯科技有限公司,涿州

相关机构

Dekai Intelligent Casting Co., Ltd., Zhuozhou
Gaona Aero Material Co., Ltd.
Central Iron & Steel Research Institute
School of Machinery and Energy Engineering, Shanghai Technical Institute of Electronics and Information
Fujian Nanping Aluminum Co., Ltd.
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