王晨充

发稿时间：2023-08-31浏览次数：1671

王晨充，男，副教授/博士生导师

出生年月：1988.11

电话：13614042499

邮箱：wangchenchong@ral.neu.edu.cn


1、主要学习、工作经历：

教育经历：

(1) 2013-09至2017-06,清华大学,材料科学与工程,博士

(2) 2015-09至2016-09, Northwestern University,材料科学与工程,博士研究生

(3) 2011-09至2013-06,哈尔滨工业大学,材料科学与工程,硕士

(4) 2007-09至2011-06,哈尔滨工业大学,材料科学与工程,学士

科研与学术工作经历：

(1) 2020-12至 今,雷竞技官方主页,轧制技术与连轧自动化国家重点实验室,副教授

(2) 2017-07至2020-12,雷竞技官方主页,轧制技术与连轧自动化国家重点实验室,讲师


2、主要研究方向：

金属材料基因工程与组织性能设计:聚焦“以物理冶金信息指导机器学习”的先进金属结构材料基因工程研究。通过成分与制备工艺的耦合设计，形成从固态相变设计到合金性能设计，乃至产线工艺优化的系统性的钢铁材料基因工程方法。先后主持国家自然科学基金的重大项目子课题、面上项目、青年基金、国际交流与合作项目、国家重点研发计划子课题等国家级项目7项，主持企业横向项目十余项。近五年来，共发表SCI论文52篇，包括Acta Materialia等中科院一区期刊文章17篇，单篇论文最高引用率107次。曾荣获2011钢铁共性技术协同创新中心青年新秀称号。


3、主要学术成果

  1. Chunguang Shen;Chenchong Wang; Xiaolu Wei; Yong Li; Sybrand van der Zwaag; Wei Xu ; Physical metallurgy-guided machine learning and artificial intelligent design of ultrahighstrength stainless steel, Acta Materialia, 2019, 179: 201-214

  2. Yong Li; Shan Chen;Chenchong Wang; David San Martín; Wei Xu ; Modeling retained austenite in Q&P steels accounting for the bainitic transformation and correction of its mismatch on optimal conditions, Acta Materialia, 2020, 188: 528-538

  3. Chenchong Wang; Kaiyu Zhu; Peter Hedström; Yong Li; Wei Xu ; A generic and extensible model for the martensite start temperature incorporating thermodynamic data mining and deep learning framework, Journal of Materials Science & Technology, 2022, 128: 31-43

  4. Chunguang Shen;Chenchong Wang; Minghao Huang; Ning Xu; Sybrand Van Der Zwaag; Wei Xu ; A generic high-throughput microstructure classification and quantification method for regular SEM images of complex steel microstructures combining EBSD labeling and deep learning, Journal of Materials Science & Technology, 2021, 93: 191-204

  5. Chenchong Wang; Chunguang Shen; Qing Cui; Chi Zhang; Wei Xu ; Tensile property prediction by feature engineering guided machine learning in reduced activation ferritic/martensitic steels, Journal of Nuclear Materials, 2020, 529: 151823

  6. Xiaolu Wei; Sybrand van der Zwaag; Zixi Jia;Chenchong Wang; Wei Xu; On the use of transfer modelling to design new steels with excellent rotating bending fatigue resistance even in the case of very small calibration datasets, Acta Materialia, 2022, 235: 118103

  7. Xiaolu Wei; Chi Zhang; Siyu Han; Zixi Jia;Chenchong Wang; Wei Xu ; High cycle fatigue SN curve prediction of steels based on transfer learning guided long short term memory network, International Journal of Fatigue, 2022, 163: 107050

  8. Yong Li; David San Martin; Jinliang Wang;Chenchong Wang; Wei Xu ; A review of the thermal stability of metastable austenite in steels: Martensite formation, Journal of Materials Science & Technology, 2021, 91: 200-214

  9. Qun Luo; Hongcan Chen; Wei Chen;Chenchong Wang; Wei Xu; Qian Li ; Thermodynamic prediction of martensitic transformation temperature in Fe-Ni-C system, Scripta Materialia, 2020,187: 413-417

  10. Chenchong Wang; Minghao Huang; Zhen Zhang; Wei Xu ; Dual band metamaterial absorber: Combination of plasmon and Mie resonances, Journal of Materials Science & Technology, 2020, 53:37-40


4、学术兼职

无


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