Cluster phases of penetrable rods on a line
arXiv:1410.7610 · doi:10.1103/PhysRevE.90.042306
Abstract
Phase transitions are uncommon among homogenous one-dimensional fluids of classical particles owing to a general non-existence result due to van Hove. A way to circumvent van Hove's theorem is to consider an interparticle potential that is finite everywhere. Of this type is the generalized exponential model of index 4 (GEM4 potential), a model interaction which in three dimensions provides an accurate description of the effective pair repulsion between dissolved soft macromolecules (e.g., flexible dendrimers). Using specialized free-energy methods, I reconstruct the equilibrium phase diagram of the one-dimensional GEM4 system, showing that, apart from the usual fluid phase at low densities, it consists of an endless sequence of {\em cluster fluid phases} of increasing pressure, having a sharp crystal appearance for low temperatures. The coexistence line between successive phases in the sequence invariably terminates at a critical point. Focussing on the first of such transitions, I show that the growth of the 2-cluster phase from the metastable ordinary fluid is extremely slow, even for large supersaturations. Finally, I clarify the apparent paradox of the observation of an activation barrier to nucleation in a system where, due to the dimensionality of the hosting space, the critical radius is expected to vanish.
arXiv comment24 pages, 17 figures
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- Freezing of soft-core bosons at zero temperature: A variational theory
- Quantum Critical Behavior of One-Dimensional Soft Bosons in the Continuum
- Probing the existence of phase transitions in one-dimensional fluids of penetrable particles
- Clusterization of weakly-interacting bosons in one dimension: an analytic study at zero temperature
- Soft-particle lattice-gas in 1d: one- and two-component cases
- Emergence of an Ising critical regime in the clustering of 1D soft matter revealed through string variables
- Static density response of one-dimensional soft bosons across the clustering transition
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