Light creation and propagation in the narrow space between a nanoscale Ag cluster and a tungsten tip

2001 ◽  
Vol 495 (3) ◽  
pp. L834-L838 ◽  
Author(s):  
Makoto Sakurai ◽  
Masakazu Aono
Keyword(s):  
1997 ◽  
Vol 501 ◽  
Author(s):  
Naohisa Yanagihara ◽  
Kazutaka Uchida ◽  
Muyuki Wakabayashi ◽  
Toru Hara

ABSTRACTSolid sol of silver in poly(methyl methacrylate), Ag/PMMA, was prepared by bulk polymerization of methyl methacrylate solution of silver (I) triflluoroacetate (AgTfa) and followed by postheating. The formation of the metallic Ag nanocluster was characterized by visible spectroscopy, and effects of the concentrations of AIBN and AgTfa and the heat-treatment duration on the formation of Ag cluster were investigated. Furthermore, based on the kinetic study of MMA in the presence of AgTfa, possible mechanism for the reduction and agglomeration of silver is proposed.


Small ◽  
2015 ◽  
Vol 11 (38) ◽  
pp. 5118-5125 ◽  
Author(s):  
Yanyan Cui ◽  
Yaling Wang ◽  
Lina Zhao
Keyword(s):  

Polyhedron ◽  
2005 ◽  
Vol 24 (5) ◽  
pp. 685-691 ◽  
Author(s):  
Yushi Suzuki ◽  
Naoyuki Matsumoto ◽  
Takeshi Ainai ◽  
Takafumi Miyanaga ◽  
Hideoki Hoshino
Keyword(s):  

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Xuejing Lan ◽  
Zhenghao Wu ◽  
Wenbiao Xu ◽  
Guiyun Liu

This paper considers the region-based formation control for a swarm of robots with unknown nonlinear dynamics and disturbances. An adaptive neural network is designed to approximate the unknown nonlinear dynamics, and the desired formation shape is achieved by designing appropriate potential functions. Moreover, the collision avoidance, velocity consensus, and region tracking are all considered in the controller. The stability of the multirobot system has been demonstrated based on the Lyapunov theorem. Finally, three numerical simulations show the effectiveness of the proposed formation control scheme to deal with the narrow space, loss of robots, and formation merging problems.


2000 ◽  
Vol 72 (10) ◽  
pp. 1819-1834 ◽  
Author(s):  
John M. Prausnitz

At liquid-like densities, molecules of complex fluids can assume a variety of structures (or positions) in space; when the molecules contain many atoms as, for example, in polymers, that variety becomes very large. Further, when confined to a narrow space, it is possible to achieve structures that are not normally observed. Thanks to recent advances in statistical mechanics and molecular physics, and thanks to increasingly fast computers, it is now possible to calculate a fluid's structure, that is, the positions of molecules at equilibrium under given conditions. Calculation of fluid structure is useful because thermodynamic properties depend strongly on that structure, leading to possible applications for new materials. Three examples illustrate some recent developments; each example is presented only schematically (with a minimum of equations) to indicate the physical basis of the mathematical description. The first example considers the effect of branching on self-assembly (micellization) of copolymers (with possible long-range applications in medicine). The second and third examples consider the effect of confinement on fluid structure: first, crystallization in a narrow, confined space to produce a desired crystal structure (with possible applications for light-emitting diodes) and second, suppression of micellization of a diblock copolymer in a thin film (with possible application in lithography). Whenever possible, theoretical calculations are compared with experimental results.


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