The maximum entropy production and maximum Shannon information entropy in enzyme kinetics

2018 ◽  
Vol 496 ◽  
pp. 220-232 ◽  
Author(s):  
Andrej Dobovišek ◽  
Rene Markovič ◽  
Milan Brumen ◽  
Aleš Fajmut
Keyword(s):  
Enzyme Kinetics ◽  
Entropy Production ◽  
Maximum Entropy ◽  
Information Entropy ◽  
Shannon Information ◽  
Maximum Entropy Production ◽  
Shannon Information Entropy

scholarly journals Enzyme kinetics and the maximum entropy production principle

2011 ◽  
Vol 154 (2-3) ◽  
pp. 49-55 ◽  
Author(s):  
Andrej Dobovišek ◽  
Paško Županović ◽  
Milan Brumen ◽  
Željana Bonačić-Lošić ◽  
Domagoj Kuić ◽  
...  
Keyword(s):  
Enzyme Kinetics ◽  
Entropy Production ◽  
Maximum Entropy ◽  
Maximum Entropy Production

The mechanics of granitoid systems and maximum entropy production rates

2010 ◽  
Vol 368 (1910) ◽  
pp. 53-93 ◽  
Author(s):  
Bruce E. Hobbs ◽  
Alison Ord
Keyword(s):  
Entropy Production ◽  
Maximum Entropy ◽  
Melt Inclusions ◽  
Selection Process ◽  
Finite Thickness ◽  
Control Valve ◽  
Entropy Production Rate ◽  
Constitutive Behaviour ◽  
Maximum Entropy Production ◽  
Physical Height

A model for the formation of granitoid systems is developed involving melt production spatially below a rising isotherm that defines melt initiation. Production of the melt volumes necessary to form granitoid complexes within 10 4 –10 7 years demands control of the isotherm velocity by melt advection. This velocity is one control on the melt flux generated spatially just above the melt isotherm, which is the control valve for the behaviour of the complete granitoid system. Melt transport occurs in conduits initiated as sheets or tubes comprising melt inclusions arising from Gurson–Tvergaard constitutive behaviour. Such conduits appear as leucosomes parallel to lineations and foliations, and ductile and brittle dykes. The melt flux generated at the melt isotherm controls the position of the melt solidus isotherm and hence the physical height of the Transport/Emplacement Zone. A conduit width-selection process, driven by changes in melt viscosity and constitutive behaviour, operates within the Transport Zone to progressively increase the width of apertures upwards. Melt can also be driven horizontally by gradients in topography; these horizontal fluxes can be similar in magnitude to vertical fluxes. Fluxes induced by deformation can compete with both buoyancy and topographic-driven flow over all length scales and results locally in transient ‘ponds’ of melt. Pluton emplacement is controlled by the transition in constitutive behaviour of the melt/magma from elastic–viscous at high temperatures to elastic–plastic–viscous approaching the melt solidus enabling finite thickness plutons to develop. The system involves coupled feedback processes that grow at the expense of heat supplied to the system and compete with melt advection. The result is that limits are placed on the size and time scale of the system. Optimal characteristics of the system coincide with a state of maximum entropy production rate.

scholarly journals Relaxation Processes and the Maximum Entropy Production Principle

Entropy ◽  
2010 ◽  
Vol 12 (3) ◽  
pp. 473-479 ◽  
Author(s):  
Paško Županović ◽  
Srećko Botrić ◽  
Davor Juretić ◽  
Domagoj Kuić
Keyword(s):  
Entropy Production ◽  
Maximum Entropy ◽  
Relaxation Processes ◽  
Maximum Entropy Production

scholarly journals Global Seismic Nowcasting With Shannon Information Entropy

2019 ◽  
Vol 6 (1) ◽  
pp. 191-197 ◽  
Author(s):  
John B. Rundle ◽  
Alexis Giguere ◽  
Donald L. Turcotte ◽  
James P. Crutchfield ◽  
Andrea Donnellan
Keyword(s):  
Information Entropy ◽  
Shannon Information ◽  
Shannon Information Entropy
Sign in / Sign up

Export Citation Format

Share Document