a paradox of decreasing entropy in multiscale monte carlo grain growth simulations

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ID: 179943
2008
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Abstract
Grain growth in metals is driven by random thermal fluctuations and increases the orderliness of the system. This random process is usually simulated by the Monte Carlo (MC) method and Cellular Automata (CA). The increasing orderliness results in an entropy decrease, thus leading to a paradoxical apparent violation of the second law of thermodynamics. In this paper, it is shown that treating the system as a multiscale system resolves this paradox. MC/CA simulations usually take into consideration only the mesoscale entropy. Therefore, the information entropy of the system decreases, leading to an apparent paradox. However, in the physical system, the entropy is produced at the nanoscale while it is consumed at the mesoscale, so that the net entropy is growing.
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esche2008entropya Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Sven K. Esche;Michael Nosonovsky
Journal European journal of medicinal chemistry
Year 2008
DOI
10.3390/entropy-e10020049
URL
http://www.mdpi.com/1099-4300/10/2/49/
Keywords
cellular automata monte carlo simulation multiscale modeling

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