June 2000
Mimicking Nanometer Atomic Processes on a Micrometer Scale
1401
well as an unchanged number density of islands (Fig. 1(c)). No
further islands form in this regime.
virtually constant with time (since EPD is conducted at constant
current) and the change of particle concentration in the large
volume of suspension is negligible. DЈ for particles is also assumed
to be approximately constant with time at room temperature if the
particle flux is constant. Thus, Figs. 1(a) through (d) show the
variation of island size and number, as a function of surface
coverage, for DЈ/F Х constant.
Thus, the mechanism of nucleation, growth, and aggregation
during the submonolayer formation of micrometer-size particles
mimics the classical DDA model of the atomic, thin-film growth
process as per MBE. The results provide insight into the growth
kinetics and the microstructural manipulation of films of
micrometer-size particles as practiced in the semiconductor, ce-
ramic, polymer, and other coating industries.
As time progresses, the islands grow and become consolidated
by deposition of particles inside them. As a result, the individual
islands grow into close-packed structures with minimum configu-
rational energy and distinct domain boundaries. When the consol-
idated islands touch each other, their growth stops. Finally, the
close-packed islands, forming a monolayer where the distinct
domain boundaries of the islands are preserved, cover the entire
surface (Fig. 1(d)). Cluster formation on top of this monolayer now
becomes relevant.
The mechanism of nucleation, growth, and aggregation during
submonolayer formation of micrometer-sized particles can be
classified into two regions as per the classical DDA (deposition,
diffusion, and aggregation) model of atomic thin-film growth
during MBE. At low surface coverage (region A in Fig. 2 where
deposition and diffusion of particles take place simultaneously),
the mechanism of growth is similar to the diffusion-limited
aggregation (DLA) of atomic, thin-film growth where atoms
deposit outside clusters, diffuse randomly, and stick to a cluster on
touching. Figure 2 shows that the fractal dimension of the
two-dimensional ramified clusters in this region is Х1.65. In the
classical DLA mechanism, only single atoms diffuse and this is the
only source of aggregation. The fractal dimension of two-
IV. Summary
Submonolayer formation as a function of deposition time has
been observed during the colloidal film growth of silica particles
(diameter Ϸ 0.5 m) on a silicon wafer substrate by electro-
phoretic deposition. A close-packed, homogeneous, dense mono-
layer of silica particles evolves at the end of submonolayer
formation. Analysis of the fractal dimensions of the particle
clusters versus fractional surface-area coverage by particles re-
veals that the film growth of silica particles mimics the classical
DDA model of the atom-by-atom, thin-film growth process via
MBE.
1
0
dimensional clusters in the classical DLA mechanism is Х1.7.
1
1
Meakin reported that, when the clusters also diffuse, the fractal
dimension (x) is 1.45 Ͻ x Ͻ 1.5. In the present experiments, single
particles and clusters diffuse, and long-range, electro-osmotic
8
flow plus diffusion results in particle aggregation. The fractal
dimension (x Х 1.65) in this DLA region is 1.45 Ͻ x Ͻ 1.7.
Subsequently, as clusters grow, deposition of particles inside them
becomes important and the latter become more consolidated and
form a close-packed structure (region B in Fig. 2). This region
constitutes the consolidation process of clusters (like the consoli-
dation of atom clusters in the atomic thin-film growth process) and
Fig. 2 shows a change of fractal dimension (1.65 toward 2) with
increasing surface coverage.
References
1
C. A. Murray and D. G. Grier, “Video Microscopy of Monodisperse Colloidal
Systems,” Annu. Rev. Phys. Chem., 47, 421–62 (1996).
A. E. Larsen and D. G. Grier, “Like-Charge Attraction in Metastable Colloidal
Crystallites,” Nature (London), 385 [16] 230–33 (1997).
Z. Zhang and M. G. Lagally, “Atomistic Processes in the Early Stages of
Thin-film Growth,” Science, 276 [18] 377–83 (1997).
H. Roder, E. Hahn, H. Brune, J. Bucher, and K. Kern, “Building One- and
2
3
4
Following the classical DDA model of atomic thin-film growth,
the time scale of the two competing processes, i.e., deposition and
diffusion (or nucleation and growth) of particles, depends on the
flux of deposition (F) and the surface diffusion coefficient (D) for
particles. As F increases, the deposited particles must diffuse over
a shorter distance before meeting others; i.e., the time scale for
diffusion of a particle is proportional to 1/D. In the formation of a
submonolayer of micrometer-size particles, diffusion is enhanced
by long-range electro-osmotic flow and results in particle aggre-
gation. At a fixed surface coverage, an identical surface morphol-
ogy is expected as long as the ratio DЈ/F (DЈ is the enhanced
diffusion coefficient) remains constant during the film growth
process, since deposition and enhanced diffusion processes are in
competition in the early stages of submonolayer formation by
micrometer-size particles. The flux of the particles (F) remains
Two-Dimensional Nanostructures by Diffusion-Controlled Aggregation at Surfaces,”
Nature (London), 366, 141 (1993).
5
H. H. Wickman and J. N. Korley, “Colloidal Crystal Self-Organization and
Dynamics at the Air/Water Interface,” Nature (London), 393 [4] 445–47 (1998).
6
M. B o¨ hmer, “In Situ Observation of Two-Dimensional Clustering during Elec-
trophoretic Deposition,” Langmuir, 12 [24[rsqb] 5747–50 (1996).
7
Y. Solomentsev, M. Bohmer, and J. L. Anderson, “Particle Clustering and Pattern
Formation during Electrophoretic Deposition: A Hydrodynamic Model,” Langmuir,
1
3, 6058–68 (1997).
8
L. S. Liebovitch and T. Toth, “A Fast Algorithm to Determine Fractal Dimension
by Box-Counting,” Phys. Lett. A, 141, 386–90 (1989).
9
J. J. Sarraille and P. DiFalco, A Program for Calculating Fractal Dimensions, FD3,
version 0.3 (ftp://ishi.csustan.edu/pub/; email: john@ishi.csustan.edu), Department of
Computer Science, California State University, Stanislaus, Turlock, CA 95382.
1
0
A. L. Barabasi and H. E. Stanley, Fractal Concepts in Surface Growth; Ch. 17.
Cambridge University Press, New York, 1995.
11
P. Meakin, “Formation of Fractal Clusters and Networks by Irreversible Diffu-
sion Limited Aggregation,” Phys. Rev. Lett., 51, 1119 (1983).
Ⅺ