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| 1 | A review:applications of the phase field method in predicting microstructure and property evolution of irradiated nuclear materials显示文摘Complex microstructure changes occur in nuclear fuel and structural materials due to the extreme environments of intense irradiation and high temperature.This paper evaluates the role of the phase field method in predicting the microstructure evolution of irradiated nuclear materials and the impact on their mechanical,thermal,and magnetic properties.The paper starts with an overview of the important physical mechanisms of defect evolution and the significant gaps in simulating microstructure evolution in irradiated nuclear materials.Then,the phase field method is introduced as a powerful and predictive tool and its applications to microstructure and property evolution in irradiated nuclear materials are reviewed.The review shows that(1)Phase field models can correctly describe important phenomena such as spatial-dependent generation,migration,and recombination of defects,radiation-induced dissolution,the Soret effect,strong interfacial energy anisotropy,and elastic interaction;(2)The phase field method can qualitatively and quantitatively simulate two-dimensional and three-dimensional microstructure evolution,including radiation-induced segregation,second phase nucleation,void migration,void and gas bubble superlattice formation,interstitial loop evolution,hydrate formation,and grain growth,and(3)The Phase field method correctly predicts the relationships between microstructures and properties.The final section is dedicated to a discussion of the strengths and limitations of the phase field method,as applied to irradiation effects in nuclear materials. | Yulan Li Shenyang Hu Xin Sun Marius Stan | 2017 | npj Computational Materials2017，，1： | 6 |
| 2 | Henkel Technologies and Products for China Aerospace显示文摘Epoxy structural adhesives and composites have been in use for many years for the construction of aerospace vehicles. Henkel provides many epoxy products. Many other resin systems have been evaluated and several, such as imide, phenolic and cyanate ester, have also achieved significant use. Henkel’s newly developed “Epsilon” chemistry demonstrates unique features that benefit application in aerospace structure that use adhesives and composites. | Michael Cichon Helen Wei Li Alex Wong Stan Lehmann Raymond Wong | 2006 | 材料工程2006，34，5： | 3 |
| 3 | A Performance Evaluation Protocol for ContentBased Image Retrieval Algorithms/Systems显示文摘 | Liu Wenyin Zhong Su Stan Li Yanfeng Sun Hongjiang Zhang | 2004 | IBM Re-search2004，6，7： | 1 |
| 4 | Support vector machines for face recognition显示文摘 | Guodong Guo Stan Z Li Kap Luk Chan | 2001 | Image and Vision Computing2001，19，910： | 1 |
| 5 | Illumination invariant face recognition using near-infrared Images显示文摘 | Stan Z Li | 2007 | IEEE Transactions on Pattern Analysis and Machine Intelligence2007，，： | 1 |
| 6 | Real- time and Accurate Segmentation of Moving Objects in Dynamic Scene显示文摘 | Yang T Stan Z Li Pan Q | 2004 | In Proceedings of the ACM 2 nd International Workshop on Video Surveillance & Sensor Networks2004，，： | 1 |
| 7 | The Missing Link: The Effect of Customers on the Formation of Relationships Among Producers in the Multiplex Triads显示文摘 | Andrew V. Shipilov Stan Xiao Li | 2012 | Organization Science2012，，2： | 1 |
| 8 | Float Boost Learning and Statistical Face Detection 显示文摘 | Stan Z Li | 2004 | IEEE Transactions on Pattern Analysis and Machine Intelligence2004，，： | 1 |
| 9 | AI-EigenSnake:affine-invariant deformable contour model for object matching显示文摘 | Xue Zhong Li Stan Z Eam Khwang Teoh | 2002 | Image and Vision Computing2002，20，： | 1 |
| 10 | Automatic 3D face recognition from depth and intensity Gabor fea- tures 显示文摘 | Xu Chenghua Li Stan Tan Tieniu | 2009 | Pattern Recognition2009，42，9： | 1 |
| 11 | Loca-lization of transforming growth factor beta isoforms TGF-beta 1, TGF-beta 2, and TGF-beta 3 in surgically induced endometriosis in the rat显示文摘 | Chegini N Gold LI Stan Williams R | 1994 | Obstet Gynecol1994，83，： | 1 |
| 12 | Support vector machine for face recognition显示文摘 | Guo Guodong Stan Z li Kap Luk Chan | 2001 | Image and Vision Computing2001，19，： | 1 |
| 13 | Support vector machines for face recognition显示文摘 | Guo Guodong Stan Z Li Kap Luk Chan | 2001 | Image and Computing2001，19，： | 1 |
| 14 | FloatBoost learning and statistical face detection显示文摘 | Stan Z Li ZhenQiu Zhang | 2004 | IEEE Transactions on Pattern Analysis and Machine Intelligence2004，26，9： | 1 |
| 15 | FloatBoost Learning and Statistical Face Detection显示文摘 | Li Stan Z Zhang Zhen-qiu | 2004 | IEEE Transactions on Pattern Analysis and Machine Intelligence2004，26，9： | 1 |
| 16 | Floatboost learning and statistical face detection 显示文摘 | Li Stan Z Zhang Zhengqiu | 2004 | IEEE Transactions on Pattern Analysis and Machine Intelligence2004，26，9： | 1 |
| 17 | Content-based classification and retrieval of audio using the nearest feature line method显示文摘 | | 2000 | IEEE Transactions on Speech and Audio Processing2000，8，5： | 1 |
| 18 | Algorithms for automated line generalization based on a natural principle of objec- tive generalization显示文摘 | Zhilin Li Stan Openshaw | 1992 | Geographical Information Sys- tems1992，6，5： | 1 |
| 19 | Illumination invariant face recognition using near-infrared images 显示文摘 | Stan Z Li Chu Ru-feng Liao Sheng-cai | 2007 | IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (Special issue on Biometrics: Progress and Directions) April 20072007，29，4： | 1 |
| 20 | Floatboost learning and statistical face detection显示文摘 | Stan Z Li Zhang Zhenqiu | 2004 | IEEE Transaction on Pattern Analysis and Machine Intelligence2004，26，9： | 1 |
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