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Titlebook: On Growth and Form; Fractal and Non-Frac H. Eugene Stanley,Nicole Ostrowsky Book 1986 Martinus Nijhoff Publishers, Dordrecht 1986 behavior.

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发表于 2025-3-21 18:06:09 | 显示全部楼层 |阅读模式
书目名称On Growth and Form
副标题Fractal and Non-Frac
编辑H. Eugene Stanley,Nicole Ostrowsky
视频video
丛书名称NATO Science Series E:
图书封面Titlebook: On Growth and Form; Fractal and Non-Frac H. Eugene Stanley,Nicole Ostrowsky Book 1986 Martinus Nijhoff Publishers, Dordrecht 1986 behavior.
描述We have shown that simple power-law dynamics is expected for flexible fractal objects. Although the predicted behavior is well established for linear polymers, the situationm is considerably more complex for colloidal aggregates. In the latter case, the observed K-dependence of (r) can be explained either in terms of non-asymptotic hydrodynamics or in terms of weak power-law polydispersity. In the case of powders (alumina, in particular) apparent fractal behavior seen in static scattering is not found in the dynamics. ID. W. Schaefer, J. E. Martin, P. Wiitzius, and D. S. Cannell, Phys. Rev. Lett. 52,2371 (1984). 2 J. E. Martin and D. W. Schaefer, Phys. Rev. Lett. 5:1,2457 (1984). 3 D. W. Schaefer and C. C. Han in Dynamic Light Scattering, R. Pecora ed, Plenum, NY, 1985) p. 181. 4 P. Sen, this book. S J. E. Martin and B. J. Ackerson, Phys. Rev. A :11, 1180 (1985). 6 J. E. Martin, to be published. 7 D. A. Weitz, J. S. Huang, M. Y. Lin and J. Sung, Phys. Rev. Lett. 53,1657 (1984) . 8 J. E. Martin, D. W. Schaefer and A. J. Hurd, to be published; D. W. Schaefer, K. D. Keefer, J. E. Martin, and A. J. Hurd, in Physics of Finely Divided Matter, M. Daoud, Ed., Springer Verlag, NY, 1985. 9 D
出版日期Book 1986
关键词behavior; cluster; colloid; development; distribution; dynamics; experiment; hydrodynamics; living systems; p
版次1
doihttps://doi.org/10.1007/978-94-009-5165-5
isbn_softcover978-0-89838-850-3
isbn_ebook978-94-009-5165-5Series ISSN 0168-132X
issn_series 0168-132X
copyrightMartinus Nijhoff Publishers, Dordrecht 1986
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发表于 2025-3-21 23:12:00 | 显示全部楼层
Computer Simulation of Growth and Aggregation Processesr simulations. Computer simulations can be used to test ideas concerning the behavior of experimental systems and to pose well defined problems for theoretical analysis. In this way they provide a valuable bridge between theory and experiment.
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On the Rheology of Random Matterercolation is often found to apply. In Sec. 3, we will mention effects of macroscopic heterogeneities controlled by hydrodynamic processes, such as in two phase flow in porous media or in flowing suspensions.
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0168-132X or linear polymers, the situationm is considerably more complex for colloidal aggregates. In the latter case, the observed K-dependence of (r) can be explained either in terms of non-asymptotic hydrodynamics or in terms of weak power-law polydispersity. In the case of powders (alumina, in particular
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Scaling Properties of the Probability Distribution for Growth Sitesrobability distribution are related to those of the voltage distribution in a random resistor and random superconducting network at the percolation threshold. An infinite set of exponents is necessary to fully characterize the moments of the distribution which are related to the surface structure of the aggregate.
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Aggregation of Colloidal Silican kinetics are slow and exponential in time. Studies in 1. NaCl reveal a transition to very rapid aggregation at high pH or very low particle concentration. This rapid aggregation regime results in a fractal dimension of either 2.08 or 1.77 depending upon conditions.
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Flocculation and Gelation in Cluster Aggregationby randomly breaking bonds. This leads to a different cluster structure, with scaling behavior like lattice animals. The clusters of irreversible cluster and particle (DLA) aggregation are investigated for their internal anisotropy: particle aggregates appear to scale differently parallel and perpendicular to the direction of growth.
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