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Instabilities in complex mixtures with a large number of components

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arxiv cond-mat/0307326 v1 pith:APZ2JUTZ submitted 2003-07-14 cond-mat.soft cond-mat.dis-nn

Richard P. Sear , Jose A. Cuesta This is my paper · ORCID
classification cond-mat.softcond-mat.dis-nn
keywords mixturesapproachcomplexcomponentsmatrixmixturerandomapproximates
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Inside living cells are complex mixtures of thousands of components. It is hopeless to try to characterise all the individual interactions in these mixtures. Thus, we develop a statistical approach to approximating them, and examine the conditions under which the mixtures phase separate. The approach approximates the matrix of second virial coefficients of the mixture by a random matrix, and determines the stability of the mixture from the spectrum of such random matrices.

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  1. Statistical mechanics of fluids with hidden degrees of freedom

    cond-mat.soft 2025-06 conditional novelty 5.0 of 10

    A statistical-mechanics model with hidden degrees of freedom yields equilibrium microphase separation, challenging the assumption that such patterns require non-equilibrium driving.

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