Statistical Thermodynamics and Differential Geometry of Microstructured Materials

DAVIS, H. Ted; NITSCHE, Johannes C. D. (eds.)

ISBN 10: 0387940278 / ISBN 13: 9780387940274

Editore: Springer, 1993

Riguardo questo articolo

The IMA Volumes in Mathematics and Its Applications Volume 51. 152 p. 24 cm. 38 illustrations. Yellow hardcover.

Codice articolo 122380

Dati bibliografici

• Titolo: Statistical Thermodynamics and Differential Geometry of Microstructured Materials
• Editore: Springer
• Data di pubblicazione: 1993
• Lingua: Inglese
• ISBN 10: 0387940278
• ISBN 13: 9780387940274
• Rilegatura: Hardcover
• Condizione: As new
• Cataloghi dei venditori:
  • Science

Descrizione articolo

Riassunto

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.

Contenuti

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.