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魏晓蓼
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- Name (Pinyin):Wei Xiaolu
- E-Mail:8ba7b580b218936ac9d279d61127667b6f1328e4995fd5069b3d8fccc8f5867fa262c8d3dc2fd14a77c25bb76b0ad376bebb2bec4e4ab68122b2987b5222525a715fdd50d3aae2d7599cfafb43ee2f963583680dd92dcc649e0a45fe3a96606a396bf6df3ea5df6df368c021d96143434cba44e7898b9a7b1e41d980f95f5e03
- Date of Employment:2023-12-11
- Administrative Position:特聘副研究员
- Education Level:With Certificate of Graduation for Doctorate Study
- Gender:Male
- Contact Information:weixl@neu.edu.cn
- Degree:Doctoral Degree in Engineering
- Status:Employed
- Alma Mater:东北大学
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[ 1 ]X. Wei, S. van der Zwaag, Z. Jia, C. Wang, W. Xu*, Acta Materialia, 2022, 235: 118103.
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[ 2 ]X. Wei, C. Zhang, S. Han, Z. Jia, C. Wang, W. Xu*, International Journal of Fatigue, 2022, 163: 107050.
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[ 3 ]X. Wei, C. Wang, Z. Jia, W. Xu*, Journal of materials informatics, 2022, 2(3): 9.
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[ 4 ]X. Wei, Z. Chai, Q. Lu*, J. Hu, Z. Liu, Q. Lai, J. Wang, W. Xu*, Materials Science and Engineering: A, 2021, 819: 141461.
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[ 5 ]C. Wang, X. Wei*, S. van der Zwaag, Q. Wang, W. Xu, Acta Materialia, 2025, 292: 121073.
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[ 6 ]D. Ren, C. Wang*, X. Wei*, Y. Zhang, S. Han, W. Xu, Scripta Materialia, 2025, 255: 116350.
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[ 1 ]徐伟, 魏晓蓼, 张朕, 任达, 黄健, 沈春光, 王晨充. 基于力学理论指导迁移学习的钢铁材料疲劳性能预测方法. CN113033105B.
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[ 2 ]徐伟, 任达, 魏晓蓼, 沈春光, 黄健, 张朕, 王晨充. 一种基于EBSD与深度学习方法的钢铁材料性能预测方法. CN113033106B.
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[ 3 ]王晨充, 张朕, 任达, 魏晓蓼, 黄健, 徐伟, 刘尚瑀. 一种分子动力学指导的机器学习的激光制孔结果预测方法. CN113032909B.
