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Nucleation in Hard Spheres Systems

Sven Dorosz

University of Luxembourg

August, 2011

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Table of contents

1 Background and Motivation

2 Homogenous nucleation

3 Heterogenous nucleation

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Softmatter

They include liquids, colloids, polymers, foams, gels, granular

materials, and a number of biological materials.

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Classical Nucleation Theory

∆G = 4πγR 2 + 4π∆µρ

3 R 3 R = 2γ

ρ|∆µ|

∆G crit = 16πγ 3

3(ρ|∆µ|) 2 I = κ exp

− 16πγ 3 3(k B T ρ|∆µ|) 2

source Hamed Maleki, PhD Thesis, University of Mainz, 2011

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Hard Spheres

V (r ) =

∞ if r < R 0 if rR collisions

are elastic ⇒ internal energy constant

F = −TS most simple model for a liquid

η = 1

6 πR 3 ρ

The equations of state is given by

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Phasediagram for Hard Spheres

Rintoul, Md. and Torquato, S., 1996, PRL 77, 20, 4198-4201.

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Rare event Sampling

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Motivation Event driven molecular dynamics

time driven MD simulation vs. event driven MD simulation

V is a discontinuous potential

⇒ free flight in between collisions NVE ensemble

T is trivial parameter

setting the time scale, i.e. diffusion constant

Alder, B. J., and Wainwright, T. E., 1957, J. chem. Phys., 27, 1208.

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Algorithm Event driven molecular dynamics

Diagram

neighboring boxes

Find the first collision for each particle into the list

update first collision

update the list

next collision

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Local crystal symmetry

Hard spheres system. ρ = 1.03

Loading

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Local crystal symmetry

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Definition of the order parameter

Observables for the Local Bond Ordering:

In 3d:

¯

q 6m (i ) := 1 n(i )

n(i )

X

j=1

Y 6m (~ r ij ) , r ij < 1.4 where Y 6m ( ~ r ij ) are the spherical harmonics (with l=6).

Crystalline particles (colorcoded ”green”), n b > 10.

Low symmetry cluster (LSC)(colorcoded ”light brown”), n b > 5.

P. J. Steinhardt, D. R. Nelson, and M. Ronchetti. Phys. Rev. B, 28(2), 1983

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Local crystal symmetry

~

q 6 (i) · q ~ 6 (j ) < 0.7 q ~ 6 (i ) · q ~ 6 (j) > 0.7

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Distribution of the order parameter

source Hamed Maleki, PhD Thesis, University of Mainz, 2011

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two snapshots

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Radius of gyration

⇒ Small crystallites are far from being spherical

Schilling T.; Dorosz S.; Schoepe H. J.; et al. JPCM, 23, 19, 194120, 2011

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Precursor nucleation

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nucleation rates

⇒ MD and MC simulations produce rates match the experimental results

⇒ SPRES as the first full non equilibrium rare event sampling method

Schilling T.; Dorosz S.; Schoepe H. J.; et al. JPCM, 23, 19, 194120, 2011

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SPRES

time

2

Bin 1 Bin 2 Bin 3

λ

τ τ 0

τ

J.T. Berryman and T. Schilling. Sampling rare events in nonequilibrium and nonstationary systems.

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Motivation

Will the substrate induce different nucleation pathways?

Where does the nucleation happen?

What are the consequences of the mismatch between substrate and equilibrium crystal lattice constant?

What is the crystal structure of the nucleus?

How does the substrate change the nucleation rate?

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Setup of the system

We studied a super-saturated fluid of hard spheres in contact with a triangular substrate.

1,005 1,01 1,015 1,02 1,025

density ρ

instantaneous growth

nucleation

equilibrium constant

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Parameters

N = 220200 (216000 bulk + 4200 substrate) particles 3 /V = 1.005 (η = 0.526) − 1.02 (η = 0.534)

Corresponding chemical potentials −∆µ ≃ 0.50 − 0.54 k B T

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Immediate wetting

a < a eq

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vertical density profile

0 5 10 15

distance to the substrate z [σ]

0 0,002 0,004 0,006 0,008

density ρ( z)

t = 600 D

t = 300 D

t = 6 D

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The first layer

at t > 150D

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Defect density

1 2 3 4 5

layer n

0,1 0,2 0,3 0,4 0,5

defect density η

a=1.01 a=1.05 a=1.10

1 2 3 4 5

layer n

3400 3600 3800 4000 4200

# of particles in layer N(n)

⇒ Induced defects are compensated in the first 3 layers

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3 layer stacking

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5 layer stacking

⇒ Crystal grows in random hexagonal closed packing (RHCP)

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Nucleation at the wall

a > a eq

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Droplet characterization

0 100 200 300 400 500

t D after critical nucleus is formed

0 1000 2000 3000 4000 5000 6000

# of solid particles in cluster

ρ=1.01 ρ=1.0175 ρ=1.02

100 1000

# particles in crystallite

1 10

principal moments of gyration tensor

R¬e

z

R¬e

z

R||e

z

⇒ Analysis of the droplets shows non-spherical droplets even up to 4000

particles.

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Nucleation rates

1,005 1,01 1,015 1,02 1,025

0 5e-06 1e-05 1,5e-05 2e-05

nucleation rate [ σ

5

/ 6D

l

]

a=1.15σ a=1.2σ a=1.25σ a=1.3σ a=1.35σ a=1.4σ

a

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Acknowledgements

Tanja Schilling, University of Luxembourg

Martin ¨ Ottel, Frederike Schmid, Hamed Maleki, Hajo Sch¨ope, and Kurt Binder, University of Mainz

The present project is supported by the National Research

Fund, Luxembourg and cofunded under the Marie Curie

Actions of the European Commission (FP7-COFUND)

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