Maximum entropy production principle in physics, chemistry and biology

被引:641
作者
Martyushev, LM
Seleznev, VD
机构
[1] Russian Acad Sci, Inst Ind Ecol, Ekaterinburg 620219, Russia
[2] Ural State Tech Univ, Ekaterinburg 620002, Russia
来源
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS | 2006年 / 426卷 / 01期
关键词
maximum entropy production principle (MEPP); Ziegler's and Prigogine's principles; MEPP applications;
D O I
10.1016/j.physrep.2005.12.001
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The tendency of the entropy to a maximum as an isolated system is relaxed to the equilibrium (the second law of thermodynamics) has been known since the mid- 19th century. However, independent theoretical and applied studies, which suggested the maximization of the entropy production during nonequilibrium processes (the so-called maximum entropy production principle, MEPP), appeared in the 20th century. Publications on this topic were fragmented and different research teams, which were concerned with this principle, were unaware of studies performed by other scientists. As a result, the recognition and the use of MEPP by a wider circle of researchers were considerably delayed. The objectives of the present review consist in summation and analysis of studies dealing with MEPP. The first part of the review is concerned with the thermodynamic and statistical basis of the principle (including the relationship of MEPP with the second law of thermodynamics and Prigogine's principle). Various existing applications of the principle to analysis of nonequilibrium systems will be discussed in the second part. (c) 2005 Elsevier B.V. All rights reserved.
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页码:1 / 45
页数:45
相关论文
共 199 条
[1]  
AMETOV IM, 1999, J ENG PHYS THERMOPH+, V72, P24
[2]  
[Anonymous], 1964, CRYSTALS THEIR ROLE
[3]  
[Anonymous], 1896, THEORY SOUND
[4]  
[Anonymous], J ENG PHYS
[5]  
[Anonymous], 1963, PROGR SOLID MECH
[6]  
[Anonymous], 2015, J EXP BIOL, DOI DOI 10.1242/jeb.106310
[7]  
[Anonymous], J ENG PHYS
[8]  
[Anonymous], ENCY COMP PSYCHOL
[9]  
[Anonymous], 1991, STAT PHYS PROBABILIS
[10]  
[Anonymous], 1997, STAT MECH NONEQUILIB