The
standard approach in nanotechnology is to come up
with new chemical structures through trial and error,
by letting constituent parts react with one other
as they do in nature and then seeing whether the
result is useful.
Nanotechnologists
rely on something called "self-assembly." Self-assembly
refers to the fact that molecular building blocks
do not have to be put together in some kind of miniaturized
factory-like fashion. Instead, under the right conditions,
they will spontaneously arrange themselves into larger,
carefully organized structures.
As the researchers point out in their paper, biology
offers many extraordinary examples of self-assembly,
including the formation of the DNA double helix.
But Torquato and his colleagues, visiting research
collaborator Frank Stillinger and physics graduate
student Mikael Rechtsman, have taken an inverse approach
to self-assembly.
"We stand the problem of self-assembly on its head," said
Torquato, a professor of chemistry who is affiliated
with the Princeton Institute for the Science and
Technology of Materials, a multidisciplinary research
center devoted to materials science.
Instead of employing the traditional trial-and-error
method of self-assembly that is used by nanotechnologists
and which is found in nature, Torquato and his colleagues
start with an exact blueprint of the nanostructure
they want to build.
''If
one thinks of a nanomaterial as a house, our approach
enables a scientist to act as architect, contractor,
and day laborer all wrapped up in one," Torquato
said. "We design the components of the house, such
as the 2-by-4s and cement blocks, so that they will
interact with each other in such a way that when
you throw them together randomly they self-assemble
into the desired house."
To
do the same thing using current techniques, by
contrast, a scientist would have to conduct endless
experiments to come up with the same house. And
in the end that researcher may not end up with
a house at all but rather – metaphorically speaking
-- with a garage or a horse stable or a grain silo.
While Torquato is a theorist rather than a practitioner,
his ideas may have implications for nanostructures
used in a range of applications in sensors, electronics
and aerospace engineering.
"This is a wonderful example of how asking deep
theoretical questions can lead to important practical
applications," said Debenedetti.
So far Torquato and his colleagues have demonstrated
their concept only theoretically, with computer modeling.
They illustrated their technique by considering
thin films of particles. If one thinks of the particles
as pennies scattered upon a table, the pennies, when
laterally compressed, would normally self-assemble
into a pattern called a triangular lattice.
But
by optimizing the interactions of the "pennies," or
particles, Torquato made them self-assemble into
an entirely different pattern known as a honeycomb
lattice (called that because it very much resembles
a honeycomb).
Why
is this important? The honeycomb lattice is the
two-dimensional analog to the three-dimensional
diamond lattice – the
creation of which is somewhat of a holy grail in
nanotechnology.
Diamonds found in nature self-assemble the way they
do because the carbon atoms that are the building
blocks of diamonds interact with each other in a
specific way that is referred to as covalent bonding.
This means that each carbon atom has to bond with
exactly four neighboring atoms along specific directions.
One surprising and exciting feature of the Princeton
work is that the researchers were able to achieve
the honeycomb with non-directional bonding rather
than covalent, or directional, bonding.
"Until now, people did not think it was possible
to achieve this with non-directional interactions,
so we view this as a fundamental theoretical breakthrough
in statistical mechanics," Torquato said. Statistical
mechanics is a field that bridges the microscopic
world of individual atoms with the macroscopic world
of materials that we can see and touch.
To create the honeycomb lattice, the researchers
employed techniques of optimization, a field that
has burgeoned since World War II and which is essentially
the science of inventing mathematical methods to
make things run efficiently.
Torquato and his colleagues hope that their efforts
will be replicated in the laboratory using particles
called colloids, which have unique properties that
make them ideal candidates to test out the theory.
Paul Chaikin, a professor of physics at New York
University, said he is planning to do laboratory
experiments based on the work.
The paper appearing in Physical Review Letters is
a condensed version of a more detailed paper that
has been accepted for publication in Physical Review
E and which will probably appear sometime before
the end of the year.
Torquato
said that he and Stillinger initially had trouble
attracting research money to support their idea.
Colleagues "thought it was so far out in left
field in terms of whether we could do what we were
claiming that it was difficult to get funding for
it," he said. The work was ultimately funded by the
Office of Basic Energy Sciences at the U.S. Department
of Energy.
"The honeycomb lattice is a simple example but it
illustrates the power of our approach," Torquato
said. "We envision assembling even more useful and
unusual structures in the future."
Complete citation for the paper:
Optimized Interactions for Targeted Self-Assembly: Application to a Honeycomb
Lattice Mikael C. Rechtsman, Frank H. Stillinger, and Salvatore Torquato
Phys. Rev. Lett. 95, 228301 (2005)
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