Self-Organized Hybrid Silica with Long-Range Ordered Lamellar Structure

2001 ◽  
Vol 123 (32) ◽  
pp. 7957-7958 ◽  
Author(s):  
Joël J. E. Moreau ◽  
Luc Vellutini ◽  
Michel Wong Chi Man ◽  
Catherine Bied ◽  
Jean-Louis Bantignies ◽  
...  
Keyword(s):  
Long Range ◽  
Lamellar Structure ◽  
Self Organized ◽  
Hybrid Silica

ON A COMBINED SHORT-RANGE AND LONG-RANGE INTERACTING EARTHQUAKE MODEL

2000 ◽  
Vol 11 (05) ◽  
pp. 913-919
Author(s):  
A. S. ELGAZZAR ◽  
E. AHMED
Keyword(s):  
Long Range ◽  
Short Range ◽  
Self Organized ◽  
Long Range Interactions ◽  
Earthquake Model

A self-organized critical earthquake model is proposed taking into account the effect of both short-range and long-range interactions. The model obeys both Gutenberg–Richter and Omori laws in addition to being more realistic than other models.

Hydrogen bonding in self organized lamellar hybrid silica

2004 ◽  
Vol 345-346 ◽  
pp. 605-609 ◽  
Author(s):  
J.-L. Bantignies ◽  
L. Vellutini ◽  
J.-L. Sauvajol ◽  
D. Maurin ◽  
M. Wong Chi Man ◽  
...  
Keyword(s):  
Hydrogen Bonding ◽  
Self Organized ◽  
Hybrid Silica

scholarly journals Self-Organized Structuring of Recurrent Neuronal Networks for Reliable Information Transmission

Biology ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 577
Author(s):  
Daniel Miner ◽  
Florentin Wörgötter ◽  
Christian Tetzlaff ◽  
Michael Fauth
Keyword(s):  
Long Range ◽  
Network Structure ◽  
Network Architecture ◽  
Metabolic Cost ◽  
Network Activity ◽  
Self Organization ◽  
Stimulus Information ◽  
Hierarchical Network ◽  
Self Organized ◽  
Input And Output

Our brains process information using a layered hierarchical network architecture, with abundant connections within each layer and sparse long-range connections between layers. As these long-range connections are mostly unchanged after development, each layer has to locally self-organize in response to new inputs to enable information routing between the sparse in- and output connections. Here we demonstrate that this can be achieved by a well-established model of cortical self-organization based on a well-orchestrated interplay between several plasticity processes. After this self-organization, stimuli conveyed by sparse inputs can be rapidly read out from a layer using only very few long-range connections. To achieve this information routing, the neurons that are stimulated form feed-forward projections into the unstimulated parts of the same layer and get more neurons to represent the stimulus. Hereby, the plasticity processes ensure that each neuron only receives projections from and responds to only one stimulus such that the network is partitioned into parts with different preferred stimuli. Along this line, we show that the relation between the network activity and connectivity self-organizes into a biologically plausible regime. Finally, we argue how the emerging connectivity may minimize the metabolic cost for maintaining a network structure that rapidly transmits stimulus information despite sparse input and output connectivity.

scholarly journals Numerical statistical analysis on self-organizing behavior of microfracturing events in rock failure

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771876899 ◽  
Author(s):  
Houquan Zhang ◽  
Hao Shi ◽  
Yu Wu ◽  
Hai Pu
Keyword(s):  
Long Range ◽  
Failure Process ◽  
Rock Failure ◽  
The Self ◽  
In Situ Monitoring ◽  
Power Exponent ◽  
Self Organized ◽  
Rescaled Range Analysis ◽  
Rock Failure Process ◽  
Self Organized Criticality

Current experimental investigations on microfracturing (or acoustic emission) events mainly focus on their location and distribution. A new function in rock failure process analysis (RFPA2D) code was developed to capture the size and number of damage element groups in each loading step. The rock failure process evolving from the initiation, propagation, and nucleation of microcracks was visually simulated by RFPA2D in this research. Based on the newly developed function, the statistical quantitative analysis of microfracturing events in rock was effectively conducted. The results show that microfracturing (failed element) events in the whole failure process accord with negative power law distribution, showing fractal features. When approaching a self-organized criticality state, the power exponent does not vary drastically, which ranges around 1.5 approximately. The power exponent decreases correspondingly as the stress increases. Through the analysis of the frequency and size of damaged element groups by rescaled range analysis method, the time series of microfracturing events exhibits the self-similar scale-invariant properties. Through the analysis by the correlation function method, the absolute value of the self-correlation coefficient of microfracturing sequence demonstrates a subsequent precursory increase after a long time delay, exhibiting long-range correlation characteristics. These fractal configuration and long-range correlations are two fingerprints of self-organized criticality, which indicates the occurrence of self-organized criticality in rock failure. Compared with the limited in situ monitoring data, this simulation can supply more sufficient information for the prediction of unstable failure and good understanding of the failure mechanism.

Femtosecond laser-induced long-range self-organized periodic planar nanocracks for applications in biophotonics

2007 ◽  
Author(s):  
Eli Simova ◽  
Cyril Hnatovsky ◽  
Rod S. Taylor ◽  
David M. Rayner ◽  
Paul B. Corkum
Keyword(s):  
Femtosecond Laser ◽  
Long Range ◽  
Self Organized

scholarly journals Faults self-organized by repeated earthquakes in a quasi-static antiplane crack model

1996 ◽  
Vol 3 (1) ◽  
pp. 1-12 ◽  
Author(s):  
D. Sornette ◽  
C. Vanneste
Keyword(s):  
Long Range ◽  
Power Law ◽  
Stress Drop ◽  
Quenched Disorder ◽  
Crack Model ◽  
Fast Time ◽  
Power Law Distribution ◽  
Self Organized ◽  
Elastic Forces ◽  
Large Disorder

Abstract. We study a 2D quasi-static discrete crack anti-plane model of a tectonic plate with long range elastic forces and quenched disorder. The plate is driven at its border and the load is transferred to all elements through elastic forces. This model can be considered as belonging to the class of self-organized models which may exhibit spontaneous criticality, with four additional ingredients compared to sandpile models, namely quenched disorder, boundary driving, long range forces and fast time crack rules. In this "crack" model, as in the "dislocation" version previously studied, we find that the occurrence of repeated earthquakes organizes the activity on well-defined fault-like structures. In contrast with the "dislocation" model, after a transient, the time evolution becomes periodic with run-aways ending each cycle. This stems from the "crack" stress transfer rule preventing criticality to organize in favour of cyclic behaviour. For sufficiently large disorder and weak stress drop, these large events are preceded by a complex spacetime history of foreshock activity, characterized by a Gutenberg-Richter power law distribution with universal exponent B = 1±0.05. This is similar to a power law distribution of small nucleating droplets before the nucleation of the macroscopic phase in a first-order phase transition. For large disorder and large stress drop, and for certain specific initial disorder configurations, the stress field becomes frustrated in fast time: out-of-plane deformations (thrust and normal faulting) and/or a genuine dynamics must be introduced to resolve this frustration.

scholarly journals Long-range ordering in anodic alumina films: a microradian X-ray diffraction study

2010 ◽  
Vol 43 (3) ◽  
pp. 531-538 ◽  
Author(s):  
Kirill S. Napolskii ◽  
Ilya V. Roslyakov ◽  
Andrey A. Eliseev ◽  
Andrei V. Petukhov ◽  
Dmytro V. Byelov ◽  
...  
Keyword(s):  
Diffraction Study ◽  
Long Range ◽  
Film Growth ◽  
Orientational Order ◽  
Anodic Alumina ◽  
X Ray Diffraction ◽  
X Ray ◽  
Alumina Films ◽  
Self Organized ◽  
Long Range Ordering

A quantitative analysis of long-range order in the self-organized porous structure of anodic alumina films has been performed on the basis of a microradian X-ray diffraction study. The structure is shown to possess orientational order over macroscopic distances larger than 1 mm. At the same time, the interpore positional order is only short-range and does not extend over more than ∼10 interpore distances. These positional correlations are mostly lost gradually rather than at the domain boundaries, as suggested by the divergence of the peak width for the higher-order reflections. In the direction of the film growth the pores have a very long longitudinal self-correlation length of the order of tens of micrometres.

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