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## Summary:Most manufacturing has historically been based on top-down fabrication and assembly. With rapid advances in nanotechnology, there is increasing interest in potential construction methods based on self-assembly of nanostructures, particularly approaches incorporating nanoparticles, nanorods, carbon nanotubes, DNA molecules, and block copolymers. The competitive requirement of rapid manufacturing advances will force industry to re-evaluate both traditional and theoretical approaches to nanoscale construction on an ongoing basis, with detailed attention to both the underlying physics and the required metrology. In response to this need, we are developing analytical and numerical models of specific top down and bottom up nanofabrication techniques and processes, as well as models and simulations of their associated metrology challenges. ## Description:
While self-assembly is still in its relative infancy with respect to practical use, with much additional research required to reach maturity, the more widely utilized top-down methods will continue to require advances and modifications to improve current nanomanufacturing techniques. This modeling and simulation project is therefore focused on the following three areas:
Self-assembly is explicitly a nonequilibrium process. For systems in equilibrium there is a well understood standard set of rules describing their behavior. On the other hand general principles for describing nonequilibrium systems are not well developed. Specific nonequilibrium systems can and have been analyzed in detail but we still lack a comprehensive mathematical formalism for describing their behavior. One specific example of a damped driven nonequilibrium system which self-organizes or self-assembles into a coherent state is the laser. This system is extremely well understood and can be analyzed using various mathematical approaches. We are determining whether the mathematical formalism for describing the laser can be extended into a general description of nonequilibrium systems.
^{9} per second). It is not possible to collect and process standard optical images at the rate so we are designing what could be termed “matched optical filters” to reduce the signal processing requirements to acceptable levels. |
## Lead Organizational Unit:cnst## Customers/Contributors/Collaborators:Lawrence Berkeley LabPatrick Naulleau Rensselaer Polytechnic InstituteRobert Hull UMASS AmherstJames Watkins CNSE, SUNY Albany Robert Brainard American Physical SocietyAlan Chodos ## Facilities/Tools Used:## Staff:Gregg Gallatin - NIST Contact
Gregg Gallatin, Phone 301-975-2140 NIST |