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您的检索式：作者名="Shiru Song"
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| 1 | Mutagenesis and selective breeding of a high producing ε-poly-L-lysine strain显示文摘 | Tian WANG Shiru JIA Zhilei TAN Yujie DAI Shuai SONG Guoliang WANG | 2012 | Frontiers of Chemical Science and Engineering2012，6，2： | 3 |
| 2 | Intrinsically patterned corrals in monolayer Ag_(5)Se_(2) and selective molecular co-adsorption显示文摘Functionalized two-dimensional(2D)materials play an important role in both fundamental sciences and practical applications.The construction and precise control of patterns at the atomic-scale are necessary for selective and multiple functionalization.Here we report the fabrication of monolayer pentasilver diselenide(Ag_(5)Se_(2)),a new type of intrinsically patterned 2D material,by direct selenization of a Ag(111)surface.The atomic arrangement is determined by a combination of scanning tunneling microscopy(STM),low-energy electron diffraction(LEED),and density-functional-theory(DFT)calculations.Large-scale STM images exhibit a quasi-periodic pattern of stoichiometric triangular domains with a side length of~15 nm and apical offsets.The boundaries between triangular domains are sub-stoichiometric.Deposition of different molecules on the patterned Ag_(5)Se_(2) exhibits selective adsorption behavior.Pentacene molecules preferentially adsorb on the boundaries,while tetracyanoquinodimethane(TCNQ)molecules adsorb both on the boundaries and the triangular domains.By co-depositing pentacene and TCNQ molecules,we successfully construct molecular corrals with pentacene on the boundaries encircling TCNQ molecules on the triangular domains.The realization of epitaxial large-scale and high-quality,monolayer Ag_(5)Se_(2) extends the family of intrinsically patterned 2D materials and provides a paradigm for dual functionalization of 2D materials. | Jianchen Lu Shiru Song Shuai Zhang Yang Song Yun Cao Zhenyu Wang Li Huang Hongliang Lu Yu-Yang Zhang Sokrates T.Pantelides Shixuan Du Xiao Lin Hong-Jun Gao | 2022 | Nano Research2022，15，7： | 0 |
| 3 | Stability analysis of proportional delayed projection neural network for quadratic programming problem显示文摘At present,projection neural network(PNN)with bounded time delay has been widely used for solving convex quadratic programming problem(QPP).However,there is little research concerning PNN with unbounded time delay.In this paper,we propose the proportional delayed PNN to solve QPP with equality constraints.By utilizing homeo morphism mapping principle,we prove the proportional delayed PNN exists with unique equilibrium point which is the optimal solution of QPP.Simultaneously,delay-dependent criteria about global exponential stability(GES)and global polynomial stability(GPS)are also acquired by applying the method of variation of constants and inequality techniques.On the other hand,when proportional delay factor q is equal to 1,the proportional delayed PNN becomes the one without time delay which still can be utilized for solving QPP.But in most situations,q is not equal to 1,and time delay is unpredictable and may be unbounded in the actual neural network,which causes instability of system.Therefore,it is necessary to consider proportional delayed PNN.A numerical example demonstrates that,compared with the proportional delayed Lagrange neural network,the proportional delayed PNN is faster in terms of convergence rate.The possible reason is that appropriate parameters make the model converge to the equilibrium point along the direction of gradient descent. | Xiehui Song Liqun Zhou Yu Wang Shiru Zhang Yuji Zhang | 2023 | International Journal of Biomathematics2023，16，1： | 0 |
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