000			03321nam a22005417a 4500
001			sulb-eb0023254
003			BD-SySUS
005			20160413122341.0
007			cr nn 008mamaa
008			130517s2013 gw | s |||| 0|eng d
020			_a9783319004075 _9978-3-319-00407-5
024	7		_a10.1007/978-3-319-00407-5 _2doi
050		4	_aQC176.8.A44
072		7	_aPHF _2bicssc
072		7	_aSCI085000 _2bisacsh
072		7	_aSCI077000 _2bisacsh
082	0	4	_a530.41 _223
100	1		_aFantoni, Riccardo. _eauthor.
245	1	4	_aThe Janus Fluid _h[electronic resource] : _bA Theoretical Perspective / _cby Riccardo Fantoni.
264		1	_aHeidelberg : _bSpringer International Publishing : _bImprint: Springer, _c2013.
300			_aX, 50 p. 14 illus., 4 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Physics, _x2191-5423
505	0		_aWhat 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.
520			_aThe 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.
650		0	_aPhysics.
650		0	_aPhysical chemistry.
650		0	_aAmorphous substances.
650		0	_aComplex fluids.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650	1	4	_aPhysics.
650	2	4	_aSoft and Granular Matter, Complex Fluids and Microfluidics.
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
650	2	4	_aPhysical Chemistry.
650	2	4	_aNumerical and Computational Physics.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319004068
830		0	_aSpringerBriefs in Physics, _x2191-5423
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-00407-5
912			_aZDB-2-PHA
942			_2Dewey Decimal Classification _ceBooks
999			_c45346 _d45346