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Microstructure evolution and precipitation strengthening behaviors of non-isothermal aged SiC/7xxxAl composite 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 卷号: 226, 页码: 205-217
作者:  Zhang, R.;  Zhu, S. Z.;  Liu, Z. Y.;  Ke, Y. B.;  Wang, D.;  Xiao, B. L.;  Ma, Z. Y.
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
SiC/7 xxx Al composite  Non-isothermal aging  Mechanical properties  Precipitation strengthening  Small-angle neutron scattering  
Coercivity mechanism and microstructure evolution of perpendicular magnetic anisotropic Nd-Fe-B thick films annealed by pulsed laser 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2025, 卷号: 1020, 页码: 8
作者:  Liu, S.;  Zhao, X. T.;  Liu, L.;  Liu, W.;  Li, C. H.;  Ma, J.;  Li, D.;  Zhang, Z. D.
收藏  |  浏览/下载：4/0  |  提交时间：2025/04/27
Nd-Fe-B thick film  Laser annealing  Perpendicular magnetic anisotropy  Coercivity mechanism  
Detecting the structural evolution of passive film induced by Shewanella oneidensis MR-1 using aberration-corrected TEM 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 卷号: 210, 页码: 278-283
作者:  Hu, Z. C.;  Wei, X. X.;  Zhang, B.;  Xu, D. K.;  Zhang, G. T.;  Tang, K.;  Ma, X. L.
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
Coercivity mechanism and magnetization reversal of anisotropic La-Nd-Dy-Fe-B micron-sized films 期刊论文
PHYSICA B-CONDENSED MATTER, 2025, 卷号: 696, 页码: 9
作者:  Ma, J.;  Zhao, X. T.;  Liu, W.;  Liu, L.;  Zhao, X. G.;  Zhang, Z. D.
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
La-Nd-Dy-Fe-B micron-sized film  Magnetization reversal  Coercivity mechanism  Magnetic domain  
Effect of ball milling on densification and alloying in SiCp/Al powder metallurgy processes 期刊论文
MATERIALS CHARACTERIZATION, 2024, 卷号: 218, 页码: 13
作者:  Feng, X. M.;  Zhang, J. F.;  Wang, D.;  Deng, B.;  Wang, J.;  Xiao, B. L.;  Ma, Z. Y.
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Synchrotron X-ray tomography  Three-dimensional structure  Pore bridging  Metallurgical bonding  
High-temperature oxidation of Ti1-xAlxN (x=0, 0.26, 0.45 and 0.67) coatings on 304 stainless steel in air 期刊论文
VACUUM, 2024, 卷号: 230, 页码: 15
作者:  Wang, S. G.;  Zhao, Y. H.;  Sun, M.;  Ma, S.;  Zhang, Z. D.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
TiAlN coatings  Oxidation  Hybridization  Valence electron configuration  Binding energy  
High-temperature oxidation of Ti1-xAlxN (x=0, 0.26, 0.45 and 0.67) coatings on 304 stainless steel in air 期刊论文
VACUUM, 2024, 卷号: 230, 页码: 15
作者:  Wang, S. G.;  Zhao, Y. H.;  Sun, M.;  Ma, S.;  Zhang, Z. D.
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
TiAlN coatings  Oxidation  Hybridization  Valence electron configuration  Binding energy  
Achieving high precipitation phase proportion and mechanical properties of vacuum electron beam oscillation welded joints of near β titanium alloy thick plates by the interlayer addition 期刊论文
VACUUM, 2024, 卷号: 230, 页码: 16
作者:  Li, F. S.;  Wu, L. H.;  Li, H. J.;  Hua, P. T.;  Xue, P.;  Ni, D. R.;  Xiao, B. L.;  Ma, Z. Y.
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Near beta titanium alloys  Vacuum electron beam welding  Interlayer addition  Mechanical properties  Microstructure  
Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2024, 卷号: 198, 页码: 111-136
作者:  Wang, H.;  Gao, S. L.;  Wang, B. T.;  Ma, Y. T.;  Guo, Z. J.;  Zhang, K.;  Yang, Y.;  Yue, X. Z.;  Hou, J.;  Huang, H. J.;  Xu, G. P.;  Li, S. J.;  Feng, A. H.;  Teng, C. Y.;  Huang, A. J.;  Zhang, L. -C.;  Chen, D. L.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Fatigue  Additive manufacturing  Metallic alloys  Machine learning  
Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2024, 卷号: 198, 页码: 111-136
作者:  Wang, H.;  Gao, S. L.;  Wang, B. T.;  Ma, Y. T.;  Guo, Z. J.;  Zhang, K.;  Yang, Y.;  Yue, X. Z.;  Hou, J.;  Huang, H. J.;  Xu, G. P.;  Li, S. J.;  Feng, A. H.;  Teng, C. Y.;  Huang, A. J.;  Zhang, L. -C.;  Chen, D. L.
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Fatigue  Additive manufacturing  Metallic alloys  Machine learning