Hrem Observations, Peels Analysis and Numerical Simulations of Au/Ni Mbe Multilayers

1993 ◽  
Vol 319 ◽  
Author(s):  
Pascale Bayle ◽  
T. Deutsch ◽  
B. Gilles ◽  
F. LancÇn ◽  
A. Marty ◽  
...  

AbstractThe structural evolution of Au/Ni multilayers (with an increasing number of Ni monolayers (MLs)) has been investigated by HREM. As soon as the thickness of Ni becomes larger than 5 MLs, a structural change occurs which in fact has been predicted by numerical simulations. The deformation in the multilayer has been characterised by HREM image processing and has been related to the Ni profile. This profile has been compared to the chemical profile obtained by scanning PEELS analysis through the multilayer.

Author(s):  
A. Szöke

Equations are derived for finding an unknown part of the electron density in the unit cell of a crystal when part of the structure of its contents is already known. These equations are based on the similarity of the X-ray diffraction pattern to a hologram. The X-ray field scattered by the known part of the structure is identified as the holographic reference beam. It interferes with the waves scattered from the unknown part of the structure. The interference pattern contains phase information that can be exploited to recover fully the unknown part of the structure. This paper discusses mathematical properties of the resulting equations and some methods for their solution. A strong similarity to inverse problems of image processing is pointed out and connections to other known methods of X-ray crystallography are established. In paper III [Maalouf, Hoch, Stem, Szöke & Szöke (1993). Acta Cryst. A49, 866–871], some modest numerical simulations are presented.


2021 ◽  
Vol 9 ◽  
Author(s):  
Rui Wang ◽  
Zhicheng Mu ◽  
Hui Sun ◽  
Yuyue Wang

Memristor is a kind of synaptic element with nanometer size and continuously variable memristance. The bridge synaptic circuit constructed by the memristor has a simple structure and precise control. In practice, because of the non-linear characteristics of memristor, it is not easy to control synaptic circuit and errors in weights appear. Therefore, a novel memristor synaptic circuit is proposed in this paper, called the dual-mode memristor bridge synaptic neural network. The proposed method can make the weights more linear by controlling the input voltages and make the outputs more linear by using symmetrical positive and negative pulses. Therefore, the proposed synaptic circuit is easier to be controlled. In this paper, the numerical simulations are conducted and verify the feasibility. Furthermore, the simulation experiments are conducted for edge extraction of grayscale birds’ images in the airport for bird recognition applied for the bird repelling applications.


1995 ◽  
Vol 150 (1) ◽  
pp. 77-87 ◽  
Author(s):  
G. Möbus ◽  
E. Schumann ◽  
G. Dehm ◽  
M. Rühle

2003 ◽  
Vol 94 (4) ◽  
pp. 358-367 ◽  
Author(s):  
G. Möbus ◽  
A. Levay ◽  
B. J. Inkson ◽  
M. J. Hÿtch ◽  
A. Trampert ◽  
...  
Keyword(s):  

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