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Yaakov Rosenfeld

Researcher at University of Bristol

Publications -  25
Citations -  1697

Yaakov Rosenfeld is an academic researcher from University of Bristol. The author has contributed to research in topics: Hard spheres & Yukawa potential. The author has an hindex of 20, co-authored 25 publications receiving 1587 citations. Previous affiliations of Yaakov Rosenfeld include Vienna University of Technology.

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A quasi-universal scaling law for atomic transport in simple fluids

TL;DR: In this paper, it was shown analytically, by appealing to Enskog's original results for the inverse-power potentials, that the quasi-universal entropy scaling can be extended also to dilute gases.
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Fundamental-measure free-energy density functional for hard spheres: Dimensional crossover and freezing

TL;DR: In this article, a geometrically based free-energy density functional unified the scaled-particle and Percus-Yevick theories for the hard-sphere fluid mixture.
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Density functional theory and the asymptotic high density expansion of the free energy of classical solids and fluids

TL;DR: In this article, a unified analytical description of classical bulk solids and fluids is obtained, predicting correctly the major features of their equations of state and freezing parameters as obtained by simulations, on the basis of the fundamental-measure free energy functional for hard spheres and thermodynamic perturbation theory.
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Density functional theory of molecular fluids: Free-energy model for the inhomogeneous hard-body fluid.

Yaakov Rosenfeld
- 01 Nov 1994 - 
TL;DR: By relating that convolution decomposition for spheres with the Gauss]-[ital Bonnet] [ital theorem] for general convex bodies, the fundamental-measure functional is made applicable to fluids of asymmetric molecules.
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Dimensional crossover and the freezing transition in density functional theory

TL;DR: In this paper, a modified geometrically based free-energy functional for hard spheres is proposed which gives reliable results even for situations of extreme confinements that reduce the effective dimensionality.