scholarly journals Analytical models of axisymmetric reaction–diffusion phenomena in composite media

2016 ◽  
Vol 99 ◽  
pp. 425-431 ◽  
Author(s):  
Robert A. Zimmerman ◽  
Todd A. Jankowski ◽  
Daniel M. Tartakovsky
Keyword(s):  
Reaction Diffusion ◽  
Analytical Models ◽  
Composite Media ◽  
Diffusion Phenomena

Parallel simulation of reaction–diffusion phenomena in percolation processes

2001 ◽  
Vol 17 (6) ◽  
pp. 679-688 ◽  
Author(s):  
Stefania Bandini ◽  
Giancarlo Mauri ◽  
Giulio Pavesi ◽  
Carla Simone
Keyword(s):  
Reaction Diffusion ◽  
Parallel Simulation ◽  
Diffusion Phenomena ◽  
Percolation Processes

scholarly journals Mesoscale Reaction–Diffusion Phenomena Governing Lignin‐First Biomass Fractionation

ChemSusChem ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4495-4509 ◽  
Author(s):  
Nicholas E. Thornburg ◽  
M. Brennan Pecha ◽  
David G. Brandner ◽  
Michelle L. Reed ◽  
Josh V. Vermaas ◽  
...  
Keyword(s):  
Reaction Diffusion ◽  
Biomass Fractionation ◽  
Diffusion Phenomena

Multiphysics Simulation of Biosensors Involving 3D Biological Reaction–Diffusion Phenomena in a Standard Circuit EDA Environment

2019 ◽  
Vol 66 (6) ◽  
pp. 2188-2197 ◽  
Author(s):  
Morgan Madec ◽  
Luc Hebrard ◽  
Jean-Baptiste Kammerer ◽  
Alexi Bonament ◽  
Elise Rosati ◽  
...  
Keyword(s):  
Reaction Diffusion ◽  
Multiphysics Simulation ◽  
Diffusion Phenomena ◽  
Biological Reaction

scholarly journals Nonlinear reaction-diffusion models of self-organization and deterministic chaos: Theory and possible applications to description of electrical cardiac activity and cardiovascular circulation

2006 ◽  
Vol 2006 ◽  
pp. 1-16 ◽  
Author(s):  
V. Kardashov ◽  
Sh. Einav ◽  
Y. Okrent ◽  
T. Kardashov
Keyword(s):  
Signal Processing ◽  
Pulse Propagation ◽  
Dynamic Models ◽  
Deterministic Chaos ◽  
Cardiac Activity ◽  
Reaction Diffusion ◽  
Analytical Models ◽  
Self Organization ◽  
Pressure Pulses ◽  
Chaos Degree

The paper shows that analytical dynamic models coupled with the available signal processing methods could be used for describing the self-organization and chaos degree in the heartbeats propagation and pressure pulses in ventricular at ejection phase. We proposed a unit analytical approach that could be associated with real ECG and pressure pulses signal processing. Our findings confirm that the real-time computer monitoring of the main cardiovascular parameters obtained by the use of analytical models and verified by signal processing of real clinical data may be considered as available method for measuring and controlling self-organization and chaos degree in pulse propagation.

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