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Fluctuation Relations and Crystallization in Colloidal Suspensions

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Fluctuation Relations and Crystallization in Colloidal Suspensions

Sven Dorosz

University of Luxembourg, Soft Matter Theory Group

sven.dorosz@uni.lu

Motivation

Hard Spheres undergo a uid to solid phase tran- sition if the packing fraction is above 0.5. The nucleation process itself and developing struc- tures in this transient process are still matter of current research.

Here a new approach is proposed to correlate forming structure and dissipation directly. The system driven externally by a time varying pres- sure is compressed in a nite time. Thermody- namic work measured and directly correlated to structural information recorded during the pro- cess. Fluctuation theorems set the framework of this analysis that still hold at the rst order phase transition that are initialized by a macro- scopic uctuation.

Model

Monodisperse Hard Spheres are described by the volume fraction φ.

Important facts:

• Very high energy barrier at low over com- pression, i.e. very small nucleation rates.

• Latent heat at the phase transition is purely entropic because of hard potentials.

• Coexistence pressure Pcoex = 11.45.

• spinodal regime and even glassy dynamics at high packing fractions [1].

Illustration of the compression:

Basic Concepts

The system is compressed by an external time dependent pressure, P0 → Pτ

Thermodynamic work (NPT ensemble):

W =

Z τ 0

dt ˙P V (t) The Crooks relation [2]:

PF (W )/PR(−W ) = exp(−β(W − ∆G)) The Jarzynski relation [3]:

hexp −βW i = exp −β∆G

Dissipated Energy: Wdiss = ∆G − W

Calculate ∆G via the GibbsDuhem relations:

∂µ

∂P T

= 1 ρ

The dynamics of the system is based on Monte Carlo simulation. Max step sizes are set con- stant.

The Single Phase

The resulting distribution of work in the uid resp crystal phase.

The free energy dierence is recovered.

The Crooks relation (NPT ensemble) is veried.

Good denition of thermodynamic work.

The quasistatic limit is recovered for large τ.

For small τ the gaussian approximatian fails, variances are not equal in the forward and re- versed process.

Dissipation and Structure

Resulting transient structures on log scale.

Structure is measured via |q4| and |q6| [4].

Particles are considered

fcc, if |q6| > 0.35 and |q4| > 0.125 bcc, if |q6| > 0.35 and |q4| < 0.06.

Single particle volume v [5] information is di- rectly linked to dissipation.

The Phase Transformation

Single runs (n = 40)

The distribution of work

⇒ Large assymetry in the transition crystallizationmelting.

⇒ Exponential contribution - Poisson process.

The distribution of nucleation times

Conclusion and Outlook

The crystallization process is characterized by a macroscopic uctuation. Fluctuation theo- rems capture this eect. Dissipation can be calculated during this transient process and al- lows one to study correlations to the emerging structures. Work distributions are not Gaussian in this case. An additional Poisson process is present.

This phenomena here studied for the most sim- ple liquid, should be extended to dynamic ar- rest, anisotropy, and interactions exhibiting la- tent heat.

References

[1] P. N. Pusey et al, Phil. Trans. R. Soc. A 367 (2009) [2] G. E. Crooks, Phys. Rev. E 60 2721 (1999)

[3] C. Jarzynski, Phys. Rev. Lett. 78 2690 (1997)

[4] W. Lechner et al, J. Chem. Phys. 129, 114707 (2008) [5] C. H. Rycroft, Chaos, 19, 041111 (2009)

Acknowledgements

This project has been nancially supported by the Na- tional Research Fund Luxembourg under the project FRPTECD. Computer simulations presented in this pa- per were carried out using the HPC facility of the Uni- versity of Luxembourg.

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