Potential-well model in acoustic tweezers

2010 ◽  
Vol 57 (6) ◽  
pp. 1451-1459 ◽  
Author(s):  
Shih-Tsung Kang ◽  
Chih-Kuang Yeh
Keyword(s):  
Potential Well ◽  
Well Model ◽  
Acoustic Tweezers

scholarly journals A Novel Type of Stochastic Resonance Potential Well Model and Its Application

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 160191-160202 ◽  
Author(s):  
Shangbin Jiao ◽  
Shuang Lei ◽  
Wei Jiang ◽  
Qing Zhang ◽  
Weichao Huang
Keyword(s):  
Stochastic Resonance ◽  
Potential Well ◽  
Well Model

scholarly journals Positron annihilation in simple condensed gases

1990 ◽  
Vol 68 (12) ◽  
pp. 1362-1376 ◽  
Author(s):  
A. T. Stewart ◽  
C. V. Briscoe ◽  
J. J. Steinbacher
Keyword(s):  
Positron Annihilation ◽  
Reasonable Agreement ◽  
Theoretical Calculations ◽  
Bubble Formation ◽  
The Self ◽  
Correlation Technique ◽  
Potential Well ◽  
Well Model ◽  
Adequate Data ◽  
Solid He

The angular-correlation technique of positron annihilation has been used to detect and measure the localized bubble state of positronium (Ps) in liquid Ne, Ar, Kr, H2, and N2 and in liquid and solid He at various pressures and temperatures. No bubble state was seen in liquid O2 or in solid Ne and Ar. The dynamics of bubble formation is not yet understood. In the cases where theoretical calculations, and adequate data, exist, viz. He, Ar, and H2, there is reasonable agreement for the momentum of the photons from the annihilation of positrons with the outer electrons of these atoms. The Ps annihilations from the self-trapped bubble state are reasonably well described in terms of a simple finite potential-well model.

Parameter-Induced Stochastic Resonance in Wireless Sensor Network Signal Processing

2010 ◽  
Vol 121-122 ◽  
pp. 646-650
Author(s):  
Zi Kai Zhao ◽  
Guo Hua Hui
Keyword(s):  
Signal Processing ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Stochastic Resonance ◽  
Noise Intensity ◽  
System Parameter ◽  
Wireless Sensor ◽  
Potential Well ◽  
Processing Level ◽  
Well Model

Parameter-induced stochastic resonance (PSR) using double potential well model was focused in this paper. Based on the former stochastic resonance study, system parameter µ was used to explore the resonance characteristics. A bluetooth-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance simulating. Under fixed noise intensity range, the changes of system parameter µ led to a systematic output resonance. Simulating results demonstrated that the systematic parameter µ could lead to stochastic resonance at signal processing level.

ON THE FLUCTUATION-RESPONSE RELATION IN GEOPHYSICAL SYSTEMS

2009 ◽  
Vol 23 (28n29) ◽  
pp. 5515-5529 ◽  
Author(s):  
GUGLIELMO LACORATA ◽  
ANDREA PUGLISI ◽  
ANGELO VULPIANI
Keyword(s):  
Dynamical System ◽  
Complex Systems ◽  
Greenhouse Gas ◽  
Climate Dynamics ◽  
Climate Modelling ◽  
Potential Well ◽  
Gas Concentration ◽  
Well Model ◽  
Major Interest ◽  
Lorenz 96

One of the major issues concerning the study of a dynamical system is the response to perturbations. In climate dynamics, for example, it is of major interest to understand how a given variable, e.g., the temperature, is sensitive to alterations of some other component of the system, e.g., the greenhouse gas concentration. We review the connection between equilibrium and non-equilibrium properties, also known as Fluctuation-Relaxation Relation, and its main aspects in chaotic and turbulent systems. We consider, in particular, the effects of the fast variables on the slow variables in a multiscale system, as far as the sensitivity properties are concerned. Two examples about (widely speaking) climate modelling are discussed: the Lorenz-96 model and the double-potential well model. Both of them, despite their apparent simplicity, hide the same kind of interesting features of much more complex systems.

scholarly journals Fluctuation effects of thermodynamic variables in particle-spilling-from-well model with single potential well

2014 ◽  
Vol 63 (19) ◽  
pp. 193601
Author(s):  
Zhang Xue-Jun ◽  
Rao Jian ◽  
Deng Yang-Bao ◽  
Jiang Lian-jun ◽  
Tian Ye
Keyword(s):  
Potential Well ◽  
Well Model ◽  
Fluctuation Effects ◽  
Thermodynamic Variables ◽  
Single Potential
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