Linette Demers

Combinatorial Templates Generated by Dip-Pen Nanolithography for the Formation of Two-Dimensional Particle Arrays†

Lattices of single polystyrene particles were constructed by using a combinatorial approach to analyze particle pattern recognition properties. Dip-pen nanolithography was used to generate chemical templates of 16-thiohexadecanoic acid on a gold surface to study the two-dimensional assembly of amine- and amidine-modified particles.

Dip pen nanolithography/spl trade/ and its potential for nanoelectronics

Dip pen nanolithography (DPN/spl trade/) is a patterning technique for nanoscale science and engineering based on scanning probe microscopy. Its main advantages are very high resolution, the unique capability to deposit many different materials directly onto a substrate and low cost of ownership. We present here new research and development efforts that demonstrate the potential of DPN as a tool to produce nanoelectronic devices and circuits. We show the direct deposition of electronic materials as well as the use of external accessories to accelerate the development phase of nanoelectronic components.

Dip-Pen Nanolithography: Direct Writing Soft Structures on the Sub-100-Nanometer-Length Scale

It is difficult to control surface architecture on the 1-100-nm-length scale with reasonable speed and accuracy. This length scale is the primary length scale of chemistry and biology and if this length scale with control over feature size, shape, registration, and composition can be patterned, the secrets of recognition processes involving extraordinarily complex molecules can be uncovered. Dip-Pen Nanolithography (DPN) can provide both access to this type of control over surface architecture and entry into a new realm of structure-versus-function studies available to the chemist, biologist, physicist, and materials scientist. DPN, in nanoplotter mode, can be used as a powerful means of doing combinatorial nanotechnology. The nanoplotter can be programmed to generate a series of monolayer patterns that vary in composition, feature size, and feature spacing. These patterns can be used to study a range of chemical or physical processes, including crystallization, catalysis, chemical and biochemical recognition, etching behavior, and surface molecular transport.