Pattern Formation and Stability in Magnetic Colloids

Nicola¿s O. Rojas

ISBN 10: 1789853796 / ISBN 13: 9781789853797

Published by Intechopen Jan 2020, 2020

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a selection of works on pattern formation and stability of magnetic colloids. Magnetic liquids can be investigated in different scenarios. Geometry (quasi 1, 2 and 3 dimensional vessels ), scales (molecules, macroscopic particles) and the type of suspension (e.g., ferromagnetic, superparamagnetic) employed in experiments completely modify the aggregation process. The observed patterns in the fluid range from surface waves to bulk chains and bundles. The approaches presented in this book use standard statistical means such as the Gibbs free energy and chemical potential. Numerical works are implemented employing methods such as Monte Carlo or Langevin dynamics simulations. Kinetic theory is used in theoretical approaches being successfully applied to algorithms such as the Lattice-Boltzmann method. 116 pp. Englisch.

Seller Inventory # 9781789853797

Bibliographic Details

• Title: Pattern Formation and Stability in Magnetic Colloids
• Publisher: Intechopen Jan 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 1789853796
• ISBN 13: 9781789853797
• Binding: Buch
• Condition: Neu
• Dimensions: 266W x 185H x 13D millimeters 266 millimeters width by 185 millimeters height by 13 millimeters depth
• Weight: 473 grams

About this title

Synopsis

This book presents a selection of works on pattern formation and stability of magnetic colloids. Magnetic liquids can be investigated in different scenarios. Geometry (quasi 1, 2 and 3 dimensional vessels ), scales (molecules, macroscopic particles) and the type of suspension (e.g., ferromagnetic, superparamagnetic) employed in experiments completely modify the aggregation process. The observed patterns in the fluid range from surface waves to bulk chains and bundles. The approaches presented in this book use standard statistical means such as the Gibbs free energy and chemical potential. Numerical works are implemented employing methods such as Monte Carlo or Langevin dynamics simulations. Kinetic theory is used in theoretical approaches being successfully applied to algorithms such as the Lattice-Boltzmann method.