Self-Assembled Wiggling Nano-Structures and the Principle of Maximum Entropy Production

While behavior of equilibrium systems is well understood, evolution of nonequilibrium ones is much less clear. Yet, many researches have suggested that the principle of the maximum entropy production is of key importance in complex systems away from equilibrium. Here, we present a quantitative study of large ensembles of carbon nanotubes suspended in a non-conducting non-polar fluid subject to a strong electric field. Being driven out of equilibrium, the suspension spontaneously organizes into an electrically conducting state under a wide range of parameters. Such self-assembly allows the Joule heating and, therefore, the entropy production in the fluid, to be maximized. Curiously, we find that emerging self-assembled structures can start to wiggle. The wiggling takes place only until the entropy production in the suspension reaches its maximum, at which time the wiggling stops and the structure becomes quasi-stable. Thus, we provide strong evidence that maximum entropy production principle plays an essential role in the evolution of self-organizing systems far from equilibrium.

[1]  D. E. Carlson,et al.  An introduction to thermomechanics , 1983 .

[2]  Catherine Nicolis,et al.  Stability, complexity and the maximum dissipation conjecture , 2010 .

[3]  Alexey Snezhko,et al.  Magnetic manipulation of self-assembled colloidal asters. , 2011, Nature materials.

[4]  C. Zukoski,et al.  Electrorheological fluids as colloidal suspensions , 1989 .

[5]  A. Blaaderen Colloids under External Control , 2004 .

[6]  R. Dewar,et al.  A Theoretical Basis for Maximum Entropy Production , 2014 .

[8]  R. Dewar,et al.  Beyond the Second Law - Entropy Production and Non-equilibrium Systems , 2014 .

[9]  Bjarne Andresen,et al.  Objections to a proposal on the rate of entropy production in systems far from equilibrium , 1984 .

[10]  Stefan C. Müller,et al.  Proposed principles of maximum local entropy production. , 2012, The journal of physical chemistry. B.

[11]  I. Aranson,et al.  Driven magnetic particles on a fluid surface: pattern assisted surface flows. , 2007, Physical review letters.

[12]  M. Cross,et al.  Pattern formation outside of equilibrium , 1993 .

[13]  A. J. Lotka Contribution to the Energetics of Evolution. , 1922, Proceedings of the National Academy of Sciences of the United States of America.

[14]  G. Paltridge,et al.  Climate and thermodynamic systems of maximum dissipation , 1979, Nature.

[15]  Tao,et al.  Three-dimensional structure of induced electrorheological solid. , 1991, Physical review letters.

[16]  Halsey,et al.  Evolution of structure in a quiescent electrorheological fluid. , 1992, Physical review letters.

[17]  Tao,et al.  Laser diffraction determination of the crystalline structure of an electrorheological fluid. , 1992, Physical review letters.

[18]  R. Westervelt,et al.  Evolution of avalanche conducting states in electrorheological liquids. , 1998, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[19]  Structure of electrorheological fluids , 2000, cond-mat/0001348.

[20]  Stuart R. Hudson,et al.  Relaxed Plasma Equilibria and Entropy-Related Plasma Self-Organization Principles , 2008, Entropy.

[21]  Wu,et al.  Field-Induced Structures in Ferrofluid Emulsions. , 1995, Physical review letters.

[22]  G. Paltridge,et al.  A physical basis for a maximum of thermodynamic dissipation of the climate system , 2001 .

[23]  A. I. Zotin,et al.  Thermodynamic Bases of Developmental Processes , 1996 .

[24]  Matteo Polettini,et al.  Fact-Checking Ziegler's Maximum Entropy Production Principle beyond the Linear Regime and towards Steady States , 2013, Entropy.

[25]  Davor Juretić,et al.  Kirchhoff's loop law and the maximum entropy production principle. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  Stijn Bruers,et al.  Ecosystem functioning and maximum entropy production: a quantitative test of hypotheses , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[27]  Hong Qian,et al.  Stochastic dynamics and non-equilibrium thermodynamics of a bistable chemical system: the Schlögl model revisited , 2009, Journal of The Royal Society Interface.

[28]  A. Getling,et al.  Cellular flow patterns and their evolutionary scenarios in three-dimensional Rayleigh-Bénard convection. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  Davor Juretic,et al.  Photosynthetic models with maximum entropy production in irreversible charge transfer steps , 2003, Comput. Biol. Chem..

[30]  L. M. Martyusheva,et al.  Maximum entropy production principle in physics , chemistry and biology , 2006 .

[31]  A. Ohmura,et al.  The second law of thermodynamics and the global climate system: A review of the maximum entropy production principle , 2003 .

[32]  R. Swenson,et al.  Autocatakinetics, Evolution, and the Law of Maximum Entropy Production: A Principled Foundation Towards the Study of Human Ecology , 2001 .

[33]  Leonid M. Martyushev,et al.  The restrictions of the maximum entropy production principle , 2014 .

[34]  J. Dobnikar,et al.  Emergent colloidal dynamics in electromagnetic fields , 2013 .

[35]  I. Aranson,et al.  Model for dynamic self-assembled magnetic surface structures. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  I. Aranson,et al.  Self-assembled tunable networks of sticky colloidal particles , 2014, Nature Communications.