The Janus Fluid [electronic resource] : A Theoretical Perspective / by Riccardo Fantoni.Material type: TextSeries: SpringerBriefs in Physics: Publisher: Heidelberg : Springer International Publishing : Imprint: Springer, 2013Description: X, 50 p. 14 illus., 4 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319004075Subject(s): Physics | Physical chemistry | Amorphous substances | Complex fluids | Statistical physics | Dynamical systems | Physics | Soft and Granular Matter, Complex Fluids and Microfluidics | Statistical Physics, Dynamical Systems and Complexity | Physical Chemistry | Numerical and Computational Physics | Física y Astronomía | Física y AstronomíaAdditional physical formats: Printed edition:: No titleDDC classification: 530.41 LOC classification: QC176.8.A44Online resources: Texto completo
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What is a Janus Fluid? -- Introduction -- The Classical Statistical Physics Problem -- Experimental Methods -- Numerical Simulations -- Relationship between the Structure and the Thermodynamics -- The Phase Diagram of a Janus Fluid -- The Structure of a Janus Fluid -- Clustering and Micellization in a Janus Fluid -- Introduction -- The Kern and Frenkel Model -- Clustering Properties -- A Cluster Theory for Janus Particles -- Relationship between the Configurational Partition Functions -- Results.
The state-of-the-art in the theoretical statistical physics treatment of the Janus fluid is reported with a bridge between new research results published in journal articles and a contextual literature review. Recent Monte Carlo simulations on the Kern and Frenkel model of the Janus fluid have revealed that in the vapor phase, below the critical point, there is the formation of preferred inert clusters made up of a well-defined number of particles: the micelles and the vesicles. This is responsible for a re-entrant gas branch of the gas-liquid binodal. Detailed account of this findings are given in the first chapter where the Janus fluid is introduced as a product of new sophisticated synthesis laboratory techniques. In the second chapter a cluster theory is developed to approximate the exact clustering properties stemming from the simulations. It is shown that the theory is able to reproduce semi-quantitatively the micellization phenomenon.