A feature in deriving the Gibbs distribution from the entropy maximum principle

2017 ◽  
Vol 72 (5) ◽  
pp. 126-127
Author(s):  
A. M. Shmatkov
1988 ◽  
Vol 56 (6) ◽  
pp. 560-561 ◽  
Author(s):  
E. Kazes ◽  
P. H. Cutler

VLSI Design ◽  
1998 ◽  
Vol 8 (1-4) ◽  
pp. 527-532 ◽  
Author(s):  
P. Falsaperla ◽  
M. Trovato

We derive, using the Entropy Maximum Principle, an expression for the distribution function of carriers as a function of a set of macroscopic quantities (density, velocity, energy, deviatoric stress, energy flux). Given the distribution function, we obtain, for these macroscopic quantities, a hydrodynamic model in which all the constitutive functions (fluxes and collisional productions) are explicitely computed starting from their kinetic expressions. We have applied our model to the simulation of some onedimensional submicron devices in a temperature range of 77–300 K, obtaining results comparable with Monte Carlo. Computation times are of order of few seconds for a picosecond of simulation.


Author(s):  
Robert H. Swendsen

This chapter derives the energy minimum principle from the entropy maximum principle. It postulates and consider the consequences of extensivity. From this are further derived minimum principles for the Helmholtz free energy, enthalpy, and Gibbs free energy. Because of its importance in engineering, exergy is also introduced, and the exergy minimum principle is justified. Analogously to these minimum principles, maximum principles can be derived for the Massieu functions from the entropy maximum principle. For the analysis of the entropy maximum principle, we isolated a composite system and released an internal constraint. Since the composite system was isolated, its total energy remained constant. The composite system went to the most probable macroscopic state after release of the internal constraint, and the total entropy went to its maximum.


2014 ◽  
Vol 2 (3) ◽  
pp. 59-65 ◽  
Author(s):  
Kasianov Vladimir Aleksandrovich ◽  
Goncharenko Andriy Viktorovich

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