Hydrogen-bonded clusters of 1, 1′-ferrocenedicarboxylic acid on Au(111) are initially formed in solution
The Journal of Chemical Physics, 2015
Low-temperature scanning tunneling microscopy is used to observe self-assembled structures of fer... more Low-temperature scanning tunneling microscopy is used to observe self-assembled structures of ferrocenedicarboxylic acid (Fc(COOH)2) on the Au(111) surface. The surface is prepared by pulse-deposition of Fc(COOH)2 dissolved in methanol, and the solvent is evaporated before imaging. While the rows of hydrogen-bonded dimers that are common for carboxylic acid species are observed, the majority of adsorbed Fc(COOH)2 is instead found in six-molecule clusters with a well-defined and chiral geometry. The coverage and distribution of these clusters are consistent with a random sequential adsorption model, showing that solution-phase species are determinative of adsorbate distribution for this system under these reaction conditions.
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Papers by Craig Lent
Dame proposed a new device that encodes information in the
geometrical charge distribution of artificial (or natural) molecules.
Functional units are composed by electrostatic coupling. In these
units, processing takes place by reshaping the electron density of
the molecules, and not by switching currents [1]. Signal processing
potential of next-neighbor-coupled cellular nonlinear networks
(CNN’s) has been recently explored with the conclusion that
local-activity of the cells is necessary to exhibit complexity [2].
It will be shown that Coulomb-coupled time-invariant artificial
molecules behave like nonlinear locally passive devices, thus
signal-power-gain or multiple equilibria cannot be achieved by
integrating them. However, the signal input–output relation of
strongly nonlinear molecules can be varied in time by adiabatic
pumping, called clock control. It will be shown that strongly
nonlinear time-varying molecules can transform the necessary
amount of clock energy into the signal flow, thereby enabling the
network of molecules to perform signal processing.