Overview

Substances possessing heterogeneous microstructure on the nanometer and micron scales are scientifically fascinating and technologically useful. Examples of such substances include liquid crystals, microemulsions, biological matter, polymer mixtures and composites, vycor glasses, and zeolites. In this volume, an interdisciplinary group of researchers report their developments in this field. Topics include statistical mechanical free energy theories which predict the appearance of various microstructures, the topological and geometrical methods needed for a mathematical description of the subparts and dividing surfaces of heterogeneous materials, and modern computer-aided mathematical models and graphics for effective exposition of the salient features of microstructured materials.

Full Product Details

Author:   H.Ted Davis ,  Johannes C.C. Nitsche
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1993
Volume:   51
Dimensions:   Width: 15.50cm , Height: 0.90cm , Length: 23.50cm
Weight:   0.271kg
ISBN:  

9781461383260

ISBN 10:   1461383269
Pages:   172
Publication Date:   06 November 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

The geometric calculus of variations and modelling natural phenomena.- Hyperbolic statistical analysis.- A crystallographic approach to 3-periodic minimal surfaces.- The conformation of fluid vesicles.- Harmonic maps for bumpy metrics.- Periodic surfaces that are extremal for energy functionals containing curvature functions.- The least gradient method for computing area-minimizing hypersurfaces.- Modelling of homogeneous sinters and some generalizations of plateau’s problem.- A generalization of a theorem of Delaunay on constant mean curvature surfaces.- Willmore surfaces and computers.- Difference versus Gaussian curvature energies; monolayer versus bilayer curvature energies; applications to vesicle stability.

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