Results 201 to 210 of about 26,927 (261)

A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method

AIChE Journal, EarlyView.
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen, Y. Sterkenburgh, Y. Tang, N. G. Deen, M. W. Baltussen   +4 more
wiley   +1 more source

Behavioral evidence for the hierarchical execution of sequential movements. [PDF]

Commun Psychol
Cuevas Rivera D, Kiebel SJ.
europepmc   +1 more source

Shadow fading prediction at 18 GHz through physics guided learning in vegetative corridors. [PDF]

Sci Rep
Celades-Martínez J, Diago-Mosquera ME, Peña A, García J.   +3 more
europepmc   +1 more source

Research progress on osseointegration performance of porous structure-modified titanium alloy implants. [PDF]

Front Bioeng Biotechnol
Huang X, Gong X, Xu A, Zhang W, Li Y, Jia Y, Yang W, Yuan N, Yang Y, Wang D, Bian W, Liu J.   +11 more
europepmc   +1 more source

From latent dynamics to data geometry: Nonlinear diffusion modelling for protein structures. [PDF]

Comput Struct Biotechnol J
Liang X, Paquet E, Viktor H, Michalowski W.   +3 more
europepmc   +1 more source

Structural integrity of RyR2 clusters controls cardiac calcium leak. [PDF]

Front Physiol
Noren A, Shiferaw Y.
europepmc   +1 more source

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Stochastic Geometry

Lecture Notes in Mathematics, 2019
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications ...
exaly   +3 more sources

Perfect simulation in stochastic geometry

Pattern Recognition, 1999
Simulation plays an important role in stochastic geometry and related fields, because all but the simplest random set models tend to be intractable to analysis. Many simulation algorithms deliver (approximate) samples of such random set models, for example by simulating the equilibrium distribution of a Markov chain such as a spatial birth-and-death ...
Wilfrid S Kendall
exaly   +2 more sources