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| 1 | Machine learning in materials science显示文摘Traditional methods of discovering new materials,such as the empirical trial and error method and the density functional theory(DFT)-based method,are unable to keep pace with the development of materials science today due to their long development cycles,low efficiency,and high costs.Accordingly,due to its low computational cost and short development cycle,machine learning is coupled with powerful data processing and high prediction performance and is being widely used in material detection,material analysis,and material design.In this article,we discuss the basic operational procedures in analyzing material properties via machine learning,summarize recent applications of machine learning algorithms to several mature fields in materials science,and discuss the improvements that are required for wide-ranging application. | Jing Wei Xuan Chu Xiang-Yu Sun Kun Xu Hui-Xiong Deng Jigen Chen Zhongming Wei Ming Lei | 2019 | InfoMat2019，1，3： | 9 |
| 2 | Existence and stability of periodic solution of a Lotka–Volterra predator–prey model with state dependent impulsive effects显示文摘 | Linfei Nie Jigen Peng Zhidong Teng Lin Hu | 2008 | Journal of Computational and Applied Mathematics2008，，2： | 1 |
| 3 | Existence and stability of periodic solution of a predator–prey model with state-dependent impulsive effects显示文摘 | Linfei Nie Zhidong Teng Lin Hu Jigen Peng | 2008 | Mathematics and Computers in Simulation2008，，7： | 1 |
| 4 | Lie group frame- work for the iterative closest point algorithm in n-D data registration显示文摘 | Ying Shihui Peng Jigen Du Shaoyi | 2009 | International Journal of Pattern Recognition and Artificial Intelligence2009，23，6： | 1 |
| 5 | A scale stretch method based on ICP for 3D data registration 显示文摘 | Ying Shihui Peng Jigen Du Shaoyi | 2009 | IEEE Transactions on Automation Science and Engineering2009，6，3： | 1 |
| 6 | Ultra-Preconcentration and Determination of Multiple Pesticide Residues in Water Samples Using Ultrasound-Assisted Dispersive Liquid–Liquid Microextraction and GC-FID显示文摘 | Shumin Cui Qianxia Chen Weiping Wang Jigen Miao Aijun Wang Jianrong Chen | 2013 | Chromatographia2013，，11： | 1 |
| 7 | Laplace transform and fractional differential equations显示文摘 | Li Kexue Peng Jigen | 2011 | Applied Mathematics Letters2011，，12： | 1 |
| 8 | Exponential stability of a class of generalized cellular neural networks with time-varying delays 显示文摘 | Wan Anhua Peng Jigen Wang Miansen | 2006 | Neurocomputing2006，69，1012： | 1 |
| 9 | Travel time prediction based on pattern matching method显示文摘 | Jiandong Zhao Feifei Xu Jigen Bai | 2015 | International Journal on Smart Sensing and Intelligent Systems2015，8，1： | 1 |
| 10 | Nonlinear measures : a new approachto exponential stability analysis for hopfield-type neural networks 显示文摘 | Qiao Hong Peng Jigen Xu Zongben | 2001 | IEEE Transcations on Neural Networks2001，12，2： | 1 |
| 11 | Nonlinear version of Holub's theorem and its application显示文摘Holub proved that any bounded linear operator T or -T defined on Banach space L 1(μ) satisfies Daugavet equation1+‖T‖=Max{‖I+T‖, ‖I-T‖}.Holub’s theorem is generalized to the nonlinear case: any nonlinear Lipschitz operator f defined on Banach space l 1 satisfies1+L(f)=Max{L(I+f), L(I-f)},where L(f) is the Lipschitz constant of f. The generalized Holub theorem has important applications in characterizing the invertibility of nonlinear operator. | Jigen Peng Zongben Xu | 1998 | Chinese Science Bulletin1998，43，2： | 1 |
| 12 | A reference model approach to stability analysis of neural networks显示文摘 | Qiao Hong Peng Jigen Xu Zongben | 2003 | IEEE Transactions on Systems Man and Cybernetics Part B: Cybernetics2003，33，6： | 1 |
| 13 | A SIRS epidemic model with infection-age dependence显示文摘 | Zhang Zhonghua Peng Jigen | 2007 | J Math Anal Appl2007，331，2： | 1 |
| 14 | A new development for the Tikhonov theorem in nonlinear singular perturbation systems显示文摘 | Wang Kaiming Peng Jigen Jin Dequan | | 0，，： | 1 |
| 15 | Nonlinear measure:a new approach to exponential stability analysis for Hopfield-type neural networks显示文摘 | PENG Jigen XU Zongben | 2001 | IEEE Transactions on Neural Networks2001，12，： | 1 |
| 16 | A new approach to stability of neural networks with time-varying delays 显示文摘 | PENG Jigen QIAO Hong XU Zongben | 2002 | Neural Networks2002，15，1： | 1 |
| 17 | Permanence and stability in multi-species non-autonomous Lotka–Volterra competitive systems with delays and feedback controls显示文摘 | Linfei Nie Jigen Peng Zhidong Teng | 2008 | Mathematical and Computer Modelling2008，，1： | 1 |
| 18 | A clinical study on orbicularis oculi muscle lesion in leprosy显示文摘 | Zhang Rangzhi Jia Jigen | 1998 | International Journal of leprosy1998，66，4： | 1 |
| 19 | Fermented beverages of pre-and proto-historic China显示文摘 | Patrick E Juzhong Zhang Jigen Tang | 2004 | PNAS2004，101，17： | 1 |
| 20 | Existence and stability of periodic solution of a LotkaVolterra predator-prey model with state-dependent impulsive effects显示文摘 | NIE Linfei PENG Jigen TENG Zhidong HU Lin | | 0，，： | 1 |
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