(A) and (B) show heat maps of the κT index in parameter space employing the τt exponent for the 2D-DP and MF-DP universality classes, respectively. In both cases, avalanches were defined with Γ = 0.5. Arrows indicate the connectivity parameters of networks, the same described in Fig 5. Representative (single run) distributions for the parameter values indicated by arrows in (A) and (B) are respectively shown in (C) and (D), exemplifying subcritical, critical and supercritical cases.</p
A multitude of systems ranging from the Barkhausen effect in ferromagnetic materials to plastic defo...
The literature disagrees about the statistical distribution of snow avalanche crown depths. Large da...
Recently, Friedman et al performed high-resolution measurements [1] that strongly supported an unive...
(A) and (B) show heat maps of the κθ index in parameter space employing the τ exponent for the 2D-DP...
<p>Solid lines are power law best fits of the data in the intervals for the sizes and 1 ms 23 ms ...
F.R. and D.N. acknowledge support from the National Science Foundation (CMMI-1552487). F.R. acknowle...
(A) DFA exponent (α) and order parameter (φ) versus rE, with rI = 0.60 fixed. The shaded area repres...
<p>(A) Log-log plot of estimated probability distributions of the fractional avalanche size for vari...
A simple numerical model to simulate athermal avalanches is presented. The model is inspired by the ...
<p>The solid line is a power law best fit of the data in the interval 1 ms 23 ms and gives exponen...
A simple numerical model to simulate athermal avalanches is presented. The model is inspired by the ...
<p>Results of avalanche-analysis for avalanche-sizes determined using a sequence of avalanches prod...
The Cell Network Model is a fracture model recently in-troduced that resembles the microscopical str...
<p>A) The power law exponent <i>λ</i> was estimated during network evolution for a sliding time-wind...
Avalanches whose sizes and durations are distributed as power laws appear in many contexts, from phy...
A multitude of systems ranging from the Barkhausen effect in ferromagnetic materials to plastic defo...
The literature disagrees about the statistical distribution of snow avalanche crown depths. Large da...
Recently, Friedman et al performed high-resolution measurements [1] that strongly supported an unive...
(A) and (B) show heat maps of the κθ index in parameter space employing the τ exponent for the 2D-DP...
<p>Solid lines are power law best fits of the data in the intervals for the sizes and 1 ms 23 ms ...
F.R. and D.N. acknowledge support from the National Science Foundation (CMMI-1552487). F.R. acknowle...
(A) DFA exponent (α) and order parameter (φ) versus rE, with rI = 0.60 fixed. The shaded area repres...
<p>(A) Log-log plot of estimated probability distributions of the fractional avalanche size for vari...
A simple numerical model to simulate athermal avalanches is presented. The model is inspired by the ...
<p>The solid line is a power law best fit of the data in the interval 1 ms 23 ms and gives exponen...
A simple numerical model to simulate athermal avalanches is presented. The model is inspired by the ...
<p>Results of avalanche-analysis for avalanche-sizes determined using a sequence of avalanches prod...
The Cell Network Model is a fracture model recently in-troduced that resembles the microscopical str...
<p>A) The power law exponent <i>λ</i> was estimated during network evolution for a sliding time-wind...
Avalanches whose sizes and durations are distributed as power laws appear in many contexts, from phy...
A multitude of systems ranging from the Barkhausen effect in ferromagnetic materials to plastic defo...
The literature disagrees about the statistical distribution of snow avalanche crown depths. Large da...
Recently, Friedman et al performed high-resolution measurements [1] that strongly supported an unive...