Large multidisciplinary collaborations that combine chemistry, physics, mathematics, and computer science will tackle future challenges in molecular electronics and nanotechnology.
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Computer model of a hydrogen bond-mediated transition state of a chemical
reaction. The electrostatic potential isosurface (the lines that
resemble a green net) is overlain on the molecular structure,
all computed using quantum chemistry.
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Chemistry—the
study of molecules— is
the science of the everyday world. For the world at large, molecules
are the fundamental units of matter. An understanding of the structure,
interactions, and reactions of molecules is thus of critical importance
to a wide range of phenomena, from the fate of contaminants in the
environment, through the production of plastics from crude oil, to
the occurrence and treatment of genetic diseases.
Chemists
are now about to cross a remarkable threshold and expect a dramatic
expansion in their ability to make reliable predictions about molecular
structure and processes. This sea change is due to the confluence of
advances in theoretical, computational, and experimental capabilities,
allowing chemists to understand and characterize matter at detailed
atomic and molecular levels. By integrating chemists' capabilities
of synthesis and characterization with computational modeling and simulation,
it will soon be possible to use computation to design molecules
to do what we want, and to control how we make them.
The computational
chemical sciences group in the Department of Energy's Center for Computational
Sciences at ORNL is working to fulfill this vision. Real-world chemical
problems are complex and a multi-disciplinary approach embracing chemistry,
materials science, solid-state physics, mathematics, and computational
science is essential, as is a strong connection with experiment. Excellent
examples of the interplay of theory and experiment are advances being
made at ORNL in molecular optics and electronics. Using ink-jet printing
techniques proposed by computational chemists, an experimental group
led by Mike Barnes of ORNL's Chemical Sciences Division, including
researchers from the University of Tennessee (UT) and Georgia Tech,
coaxed stretched molecules of polyphenylene vinylene to form an array
of glowing antennas on a glass substrate. These semiconducting polymer
nanostructures have many potential applications including optical
wires. Members of the computational chemical sciences group, including
Bobby Sumpter, Bill Shelton, and Jack Wells, are performing detailed
simulations to better understand this newly discovered nanostructure.
The group
is led by Robert J. Harrison, the principal architect of the Northwest
Computational Chemistry Software (NWChem) code for massively parallel
computers, for which he received the IEEE Computer Society's 2002 Sidney
Fernbach Award.
Robert Harrison received the 2002 Sidney Fernbach Award.
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DOE's Scientific Discovery through Advanced Computing
(SciDAC) program is supporting two of the group's many projects. Harrison
is the principal investigator of the project entitled "Advanced Methods
for Electronic Structure," which
develops and uses new multi-scale methods for fast and accurate
numerical solution of electronic structure problems, such as predicting
how atoms are arranged in a molecule. These new approaches can deliver
greater precision than previous methods, even for very large systems.
The other
SciDAC project, entitled "An Integrated Approach to
Multi-scale Modeling of Molecular Electronic Devices," is
led by Peter Cummings of Vanderbilt University. This multidisciplinary
effort involves researchers from four universities (including UT)
and ORNL. The goals of this computational project are to develop
and apply tools to understand how to construct and control molecular
electronic devices by self-assembly of molecules on surfaces. Molecular
electronic devices may someday replace silicon-based devices in future
computers. High-performance computer programs are being developed by
Vincent Meunier to use quantum theory to predict, for instance, the current
across a single molecule. Fundamental new theoretical models are
also being developed to confront a profound challenge to chemists—the
wide range of time and length scales, which cause severe problems
as molecular devices are extended to the nanoscale and beyond.
To probe
nanoscale devices, design new catalysts, and develop clean energy sources,
chemists nationwide see a critical need for multi-scale methods and
leadership-class computing to provide them with a "computational microscope."
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