scholarly journals Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow

2019 ◽  
Vol 38 (2) ◽  
pp. 71-82 ◽  
Author(s):  
S. Wiewel ◽  
M. Becher ◽  
N. Thuerey
Keyword(s):  
Fluid Flow ◽  
Temporal Evolution ◽  
Space Physics ◽  
Latent Space

scholarly journals Interlocking directorates in Irish companies using a latent space model for bipartite networks

2016 ◽  
Vol 113 (24) ◽  
pp. 6629-6634 ◽  
Author(s):  
Nial Friel ◽  
Riccardo Rastelli ◽  
Jason Wyse ◽  
Adrian E. Raftery
Keyword(s):  
Bayesian Inference ◽  
Temporal Evolution ◽  
Model Parameters ◽  
Bipartite Network ◽  
Bipartite Networks ◽  
Interlocking Directorates ◽  
Celtic Tiger ◽  
Space Model ◽  
Latent Space ◽  
A Company

We analyze the temporal bipartite network of the leading Irish companies and their directors from 2003 to 2013, encompassing the end of the Celtic Tiger boom and the ensuing financial crisis in 2008. We focus on the evolution of company interlocks, whereby a company director simultaneously sits on two or more boards. We develop a statistical model for this dataset by embedding the positions of companies and directors in a latent space. The temporal evolution of the network is modeled through three levels of Markovian dependence: one on the model parameters, one on the companies’ latent positions, and one on the edges themselves. The model is estimated using Bayesian inference. Our analysis reveals that the level of interlocking, as measured by a contraction of the latent space, increased before and during the crisis, reaching a peak in 2009, and has generally stabilized since then.

Role of fluid on earthquake occurrence: Example of the 2019 Ridgecrest and the 1997-2016 Central Apennines sequences 

2021 ◽  
Author(s):  
Kariche Jugurtha
Keyword(s):  
Time Series ◽  
Fluid Flow ◽  
Temporal Evolution ◽  
Flow Instability ◽  
B Value ◽  
Gradual Decrease ◽  
Fluid Migration ◽  
Earthquake Activity ◽  
Central Apennines ◽  
Flow Process

<p>This paper focuses on the study of the temporal evolution of seismicity and related fluid migration following major earthquake sequences occurred in the central Apennines and Eastern California Shear Zone over the last two decades: The 1997 Colfiorito sequence, the 2009 L’Aquila sequence, the 2016 Amatrice-Norcia sequence and the 2019 Ridgecrest sequence. The availability of different high-quality seismic catalogs offers the opportunity to evaluate in detail the temporal evolution of the earthquake's size distribution (or b value) and estimate the effect of the fluid flow process in triggering seismicity. For all seismic sequences, the b value time series show a gradual decrease from a few months to one year before mainshocks. The gradual decrease in the b value is interpreted in terms of coupled fluid-stress intensity as a gradual increase in earthquake activity due essentially to the short-term to intermediate-term pore-fluid fluctuations. Based on laboratory experiments results, the observed short–term fluctuation of b value is presented here as an accelerating cracks growth due essentially to the fluid flow instability.  Despite that the occurrence of seismic precursors could have been predictable in areas with high dense seismic networks, the different b value time series show a difficulty to establish a correspondence between the duration of the foreshock activity and the magnitude of the next largest expected earthquake. This may explain that the spatial and temporal evolution of fluid migration controls the size of the ruptures.</p>

scholarly journals Temporal evolution of pore geometry, fluid flow, and solute transport resulting from colloid deposition

2009 ◽  
Vol 45 (6) ◽  
Author(s):  
Cheng Chen ◽  
Boris L. T. Lau ◽  
Jean-François Gaillard ◽  
Aaron I. Packman
Keyword(s):  
Fluid Flow ◽  
Solute Transport ◽  
Temporal Evolution ◽  
Pore Geometry ◽  
Colloid Deposition

scholarly journals Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow

2020 ◽  
Vol 39 (8) ◽  
pp. 15-25
Author(s):  
S. Wiewel ◽  
B. Kim ◽  
V. C. Azevedo ◽  
B. Solenthaler ◽  
N. Thuerey
Keyword(s):  
Fluid Flow ◽  
Space Subdivision ◽  
Latent Space

Computational Aspects of Multiscale Simulation with the Lumped Particle Framework

2012 ◽  
Vol 12 (4) ◽  
pp. 1257-1274 ◽  
Author(s):  
Omar al-Khayat ◽  
Hans Petter Langtangen
Keyword(s):  
Fluid Flow ◽  
Time Scales ◽  
Numerical Scheme ◽  
Temporal Evolution ◽  
Multiscale Simulation ◽  
Spherical Particles ◽  
Particle Model ◽  
Approximate Approach ◽  
Wide Range ◽  
Computational Aspects

AbstractFirst introduced in, the lumped particle framework is a flexible and numerically efficient framework for the modelling of particle transport in fluid flow. In this paper, the framework is expanded to simulate multicomponent particle-laden fluid flow. This is accomplished by introducing simulation protocols to model particles over a wide range of length and time scales. Consequently, we present a time ordering scheme and an approximate approach for accelerating the computation of evolution of different particle constituents with large differences in physical scales. We apply the extended framework on the temporal evolution of three particle constituents in sandladen flow, and horizontal release of spherical particles. Furthermore, we evaluate the numerical error of the lumped particle model. In this context, we discuss the Velocity-Verlet numerical scheme, and show how to apply this to solving Newton’s equations within the framework. We show that the increased accuracy of the Velocity-Verlet scheme is not lost when applied to the lumped particle framework.

The Dark Tetrad

2015 ◽  
Vol 36 (4) ◽  
pp. 228-236 ◽  
Author(s):  
Janko Međedović ◽  
Boban Petrović
Keyword(s):  
Personality Traits ◽  
Antisocial Behavior ◽  
Second Order ◽  
The Other ◽  
Negative Pole ◽  
Latent Space ◽  
Order Factor

Abstract. Machiavellianism, narcissism, and psychopathy are personality traits understood to be dispositions toward amoral and antisocial behavior. Recent research has suggested that sadism should also be added to this set of traits. In the present study, we tested a hypothesis proposing that these four traits are expressions of one superordinate construct: The Dark Tetrad. Exploration of the latent space of four “dark” traits suggested that the singular second-order factor which represents the Dark Tetrad can be extracted. Analysis has shown that Dark Tetrad traits can be located in the space of basic personality traits, especially on the negative pole of the Honesty-Humility, Agreeableness, Conscientiousness, and Emotionality dimensions. We conclude that sadism behaves in a similar manner as the other dark traits, but it cannot be reduced to them. The results support the concept of “Dark Tetrad.”

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