scholarly journals Self-organization observed in numerical simulations of a hard-core diffuse Z pinch

2005 ◽  
Vol 12 (4) ◽  
pp. 042312 ◽  
Author(s):  
V. Makhin ◽  
R. E. Siemon ◽  
B. S. Bauer ◽  
A. Esaulov ◽  
I. R. Lindemuth ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Hard Core ◽  
Self Organization ◽  
Z Pinch

scholarly journals Self-organization of red blood cell suspensions under confined 2D flows

Soft Matter ◽  
2019 ◽  
Vol 15 (14) ◽  
pp. 2971-2980 ◽  
Author(s):  
Cécile Iss ◽  
Dorian Midou ◽  
Alexis Moreau ◽  
Delphine Held ◽  
Anne Charrier ◽  
...  
Keyword(s):  
Blood Cell ◽  
Numerical Simulations ◽  
Red Blood Cell ◽  
Cell Suspensions ◽  
Self Organization

Microfluidic experiments and numerical simulations show that red blood cell suspensions self-organize into aligned structures under confined 2D flows.

scholarly journals NUMERICAL SIMULATIONS OF Z-PINCH EXPERIMENTS TO CREATE SUPERSONIC DIFFERENTIALLY ROTATING PLASMA FLOWS

2013 ◽  
Vol 767 (1) ◽  
pp. 84 ◽  
Author(s):  
M. Bocchi ◽  
B. Ummels ◽  
J. P. Chittenden ◽  
S. V. Lebedev ◽  
A. Frank ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Plasma Flows ◽  
Z Pinch

scholarly journals Bottom-trapped currents as statistical equilibrium states above topographic anomalies

2012 ◽  
Vol 699 ◽  
pp. 500-510 ◽  
Author(s):  
A. Venaille
Keyword(s):  
Velocity Field ◽  
Statistical Mechanics ◽  
Numerical Simulations ◽  
Potential Vorticity ◽  
Linear Relation ◽  
Direct Numerical Simulations ◽  
The Self ◽  
Self Organization ◽  
Probable Outcome ◽  
Geostrophic Turbulence

AbstractOceanic geostrophic turbulence is mostly forced at the surface, yet strong bottom-trapped flows are commonly observed along topographic anomalies. Here we consider the case of a freely evolving, initially surface-intensified velocity field above a topographic bump, and show that the self-organization into a bottom-trapped current can result from its turbulent dynamics. Using equilibrium statistical mechanics, we explain this phenomenon as the most probable outcome of turbulent stirring. We compute explicitly a class of solutions characterized by a linear relation between potential vorticity and streamfunction, and predict when the bottom intensification is expected. Using direct numerical simulations, we provide an illustration of this phenomenon that agrees qualitatively with theory, although the ergodicity hypothesis is not strictly fulfilled.

Self-Organization, Resilience and Robustness of Complex Systems Through an Application to Financial Market from an Agent-Based Approach

2018 ◽  
Vol 28 (03) ◽  
pp. 1850044 ◽  
Author(s):  
Iris Lucas ◽  
Michel Cotsaftis ◽  
Cyrille Bertelle
Keyword(s):  
Numerical Simulations ◽  
Financial Market ◽  
Market Model ◽  
Self Organization ◽  
System Response ◽  
Herding Behavior ◽  
Financial Systems ◽  
Agent Based ◽  
System Properties ◽  
Market Shocks

This paper introduces the implementation of a computational agent-based financial market model in which the system is described on both microscopic and macroscopic levels. This artificial financial market model is used to study the system response when a shock occurs. Indeed, when a market experiences perturbations, financial systems behavior can exhibit two different properties: resilience and robustness. Through simulations and different scenarios of market shocks, these system properties are studied. The results notably show that the emergence of collective herding behavior when market shock occurs leads to a temporary disruption of the system self-organization. Numerical simulations highlight that the market can absorb strong mono-shocks but can also be led to rupture by low but repeated perturbations.

scholarly journals Scaling stellar jets to the laboratory: The power of simulations

2009 ◽  
Vol 27 (4) ◽  
pp. 709-717 ◽  
Author(s):  
C. Stehlé ◽  
A. Ciardi ◽  
J.-P. Colombier ◽  
M. González ◽  
T. Lanz ◽  
...  
Keyword(s):  
Numerical Simulations ◽  
Laboratory Experiments ◽  
Scaling Laws ◽  
Laser System ◽  
High Energy ◽  
Laboratory Astrophysics ◽  
High Energy Density ◽  
Radiative Shocks ◽  
Stellar Jets ◽  
Z Pinch

AbstractAdvances in laser and Z-pinch technology, coupled with the development of plasma diagnostics, and the availability of high-performance computers, have recently stimulated the growth of high-energy density laboratory astrophysics. In particular, a number of experiments have been designed to study radiative shocks and jets with the aim of shedding new light on physical processes linked to the ejection and accretion of mass by newly born stars. Although general scaling laws are powerful tools to link laboratory experiments with astrophysical plasmas, the phenomena modeled are often too complicated for simple scaling to remain relevant. Nevertheless, the experiments can still give important insights into the physics of astrophysical systems and can be used to provide the basic experimental validation of numerical simulations in regimes of interest to astrophysics. We will illustrate the possible links between laboratory experiments, numerical simulations, and astrophysics in the context of stellar jets. First we will discuss the propagation of stellar jets in a cross-moving interstellar medium and the scaling to Z-pinch produced jets. Our second example focuses on slab-jets produced at the Prague Asterix Laser System laser installation and their practical applications to astrophysics. Finally, we illustrate the limitations of scaling for radiative shocks, which are found at the head of the most rapid stellar jets.

Theoretical prediction of β and τE in a hard core Z pinch

2007 ◽  
Vol 14 (10) ◽  
pp. 102502
Author(s):  
A. Kouznetsov ◽  
J. P. Freidberg ◽  
J. Kesner
Keyword(s):  
Theoretical Prediction ◽  
Hard Core ◽  
Z Pinch

scholarly journals The effect of sheared axial flow on the interchange mode in a hard-core Z pinch

2007 ◽  
Vol 14 (1) ◽  
pp. 012503 ◽  
Author(s):  
A. Kouznetsov ◽  
J. P. Freidberg ◽  
J. Kesner
Keyword(s):  
Axial Flow ◽  
Hard Core ◽  
Z Pinch

scholarly journals HOLISTIC SELF-REPROGRAMMING OF NEURAL NETWORKS: BETWEEN SELF-ORGANIZATION AND SELF-OBSERVATION

2014 ◽  
pp. 54-67
Author(s):  
Jean-Jacques Mariage
Keyword(s):  
Neural Networks ◽  
Mathematical Proof ◽  
Hard Core ◽  
The Other ◽  
Self Organization ◽  
Biological Mechanisms ◽  
Know How ◽  
Biological Substrate ◽  
Theoretical Paper ◽  
Biological Solutions

Neural networks (NNs) are inspired – at least metaphorically –from biological solutions nature selected by evolution. On one hand, learning algorithms' efficacy has been widely demonstrated experimentally, even if the mathematical proof of their convergence is not always very easy to establish (SOM). On the other hand, biological mechanisms like brain wiring or embryology remain partly understood and how life or the bases of consciousness are related to the underlying biological substrate remains a total mystery. The same goes for memory. We don’t really know how information is stored in and recovered from biological neural structures. We therein paradoxically use complex systems, the hard core of which we still don't always fully understand, both regarding the models we build, as well as their former roots in the leaving world. In this theoretical paper, we resort to a few biological encoding schemata that bring insights into neural structures' growth, plasticity and reorganization, and we suggest reconsidering the metaphor in an adaptive developmental view.

scholarly journals Numerical simulations of Z-Pinch experiments to create supersonic differentially-rotating plasma flows

2012 ◽  
Vol 58 ◽  
pp. 167-171
Author(s):  
M. Bocchi ◽  
B. Ummels ◽  
J.P. Chittenden ◽  
S.V. Lebedev
Keyword(s):  
Numerical Simulations ◽  
Plasma Flows ◽  
Z Pinch
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