It has been 20 years since futurist Eric Drexler
daringly predicted a world where miniaturized robots
would build things one molecule at a time. The world
of nanotechnology is beginning to come to pass, with
scientists conjuring new applications daily.
Now Princeton scientist Salvatore
Torquato is proposing to turn a central concept
of nanotechnology on its head. If the theory bears
out -- and it is in its infancy -- it could have
radical implications for the computer and telecommunications
industries.
Torquato and colleagues published a paper in the
Nov. 25 issue of Physical Review Letters, the leading
physics journal, outlining a mathematical approach
that would enable them to produce desired configurations
of nanoparticles by manipulating the manner in which
the particles interact with one another.
This may not mean much to the man on the street,
but to the average scientist it is a fairly astounding
proposition.
“In a sense this would allow you to play God, because
the method creates on the computer new types of particles
whose interactions are tuned precisely so as to yield
a desired structure,” said Pablo Debenedetti, a professor
of chemical engineering at Princeton.
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,” which
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 approach
not seen in nature, which they call “inverse statistical
mechanics.”
“We stand the problem of self-assembly on its head,” said
Torquato, who is a professor of chemistry and
a member of the Princeton
Institute for the Science and Technology of Materials ,
a multidisciplinary research center devoted to materials
science. Torquato is also a senior fellow at the
new Princeton
Center for Theoretical Physics .
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,” he said.
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.
Paul
Chaikin, a physicist at New York University and
a former Princeton professor, said the Torquato
paper “presents
a first major success in the solution to an inverse
problem.”
“It follows in the tradition of ‘The way to see
if you really understand how something works is to
build it from scratch,'” Chaikin said. “Or even more
fundamentally, the new approach shows how to self-assemble
it from scratch.”
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 from carbon atoms
that undergo a type of “directional bonding” that
is hard to achieve in laboratory experiments. The
researchers created their pattern with “non-directional
bonding,” which was not previously thought to be
possible. This advance should give experimentalists
much more flexibility in creating useful structures,
Torquato said.
Materials with diamond lattice structures are used
in high-speed optical communications devices.
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 the theory. Chaikin
said he is planning to do laboratory experiments
based on the work.
“Our colloid group is actively pursuing different
types of interparticle interactions using electrostatics,
polymers, DNA association, van der Waals attraction
and entropy which may be combined to form the types
of [interactions] envisioned in this work,” said
Chaikin. “An important aspect of this paper is the
simplicity and robustness built into the types of
interactions proposed.”
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.”
Source:
Princeton University (by Teresa Riordan)
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