研究论文
Review: Recent progress in titanium alloys development via machine learning and high-throughput preparation
Feiyang Gao, Weiwen Zhang, Xiaotao Liu, Xuan Luo, Zhi Wang, Ning Li, L.H. Liu
South China University of Technology State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology
来源Journal of Materials Science
年份2025
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逐年被引趋势
420
426
关键指标
4
被引次数 · OpenAlex
0.83
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 32%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
215
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学术脉络
学科主题
材料 / 化学Machine Learning in Materials Science
Titanium Alloys Microstructure and Properties · High Entropy Alloys Studies
参考文献 215
Mechanism in the β phase evolution during hot deformation of Ti–5Al–2Sn–2Zr–4Mo–4Cr with a transformed microstructure
被引 135Lian Li, M.Q. Li, Jiao Luo · Acta Materialia · 2015
Mining data with random forests: current options for real‐world applications
被引 288Andreas Ziegler, Inke Regina König · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2013
Ultralow-fatigue shape memory alloy films
被引 507Christoph Chluba, Wenwei Ge, Rodrigo Lima de Miranda · Science · 2015
此处列出前 3 条
引用本文 4
Machine learning-assisted exploration and experimental assessment of β-type Ti54-xZr15Nb14Mo17Cux alloy with an ultra-low modulus for orthopedic applications
被引 1Jiantao Liu, Ni Jin, Y. Y. Zhang · Journal of Materials Science · 2026
Research progress on advanced titanium-molybdenum alloy design driven by machine learning
被引 0Shuai Ji, Jinhang Bai, Quanyin Meng · Journal of Alloys and Compounds · 2026
Machine learning for titanium alloy development: Composition design, process optimization, microstructure informatics, and performance prediction
被引 0Chenxuan Liu, Mingxuan Ling, Chen Luo · Journal of Materials Research and Technology · 2026
按被引量排序，此处列出前 3 条