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A fuel cell is a device for generating
electricity directly and very efficiently,
from gaseous or liquid fuel, without
combustion. Fuel cells are similar to
batteries in that they also deliver
electrical power from a chemical reaction.
But unlike batteries, which store the
chemical reactants within, fuel cells
operate with reactants that are stored
externally and must be supplied. There are
several types of fuel cells. Presently, the
two most promising technologies are
proton-exchange membrane fuel cells
(PEMFCs) and solid-oxide fuel cells
(SOFCs). In PEM fuel cells, the required
chemical reactions, in which fuel molecules
need to lose or accept electrons, are
facilitated by the presence of an
appropriate "catalyst" material. Usually,
the catalyst consists of finely dispersed
platinum nanoparticles.
The fundamental reactions in PEMFCs are
(i) the oxygen reduction reaction
(ORR), occurring at the cathode, and
(ii) the hydrogen oxidation reaction
(HOR), occurring at the anode. A major
impediment to the wide-spread deployment of
PEMFCs is sluggish kinetics of the ORR.
Typically, the ORR is several orders of
magnitude slower than the HOR. It is
believed that the rate limiting step is the
first electron transfer of the ORR (4
electrons are transferred in the overall
mechanism). In order to accelerate this
step of the reaction, catalysts must be
used. Presently, these usually consist of
precious metal, e.g. platinum. Obtaining a
technically useful power output requires a
very high catalyst surface area. This is
achieved by dispersing small platinum
clusters on a globular, high-surface-area
carbon support. Figure 1 is
low-resolution TEM (transmission electron
microscopy) image electron micrograph of
such a catalyst, denoted as "Pt/C."
Arrow 1 points to a Pt cluster with an
apparent diameter of
5×10-9 nm.
Arrow 2 points at the carbon
support.
Recent research suggests that by
alloying Pt with other transition metals,
such as Co, has a benefical effect on the
catalytic efficiency. It is believed that
the alloying elements modify the electronic
structure to change the electrochemical
potential at which Pt oxidizes, thereby
giving a larger potential window for the
adsorption of oxygen. The state of the art
catalyst for optimizing the ORR are
clusters of Pt alloyed with Co, and
supported on very-high-surface-area
globular carbon (Pt-Co/C). However, not
much is known to date about the atomistic
structure of the alloy clusters is not well
known. In order to understand the physical
background of the performance improvement,
one would like to know the spatial
distribution of the Co atoms in the
clusters. It seems likely that either Co or
Pt are enriched at the catalytically active
surface. Furthermore, it is suspected that
the proximity of the surface to all atoms
in a small cluster induces stresses and
corresponding strains, which in turn may
influence the spatial distribution of the
alloying elements because they differ in
atomic volume.
Therefore, we are developing
experimental methods for directly measuring
the strain state of alloy clusters. This
requires a highly precise assessment of the
atom coordinates in the cluster. A very
powerful tool for obtaining this
information is HRTEM (high-resolution
transmission electron microscopy).
Figure 2 is a high-resolution electron
image of a Pt–Co cluster, recorded
with our Tecnai F30. The
cluster is sharply facetted on {111} and
{200} planes, corresponding to the
truncated octahedron shown in the lower
left. In principle, the bright and dark
spots in Fig. 2 represent columns of
atoms aligned parallel to the viewing
direction. However, owing to fundamental
limitations of the imaging technique and
electron-optical aberrations, the position
of these intensity minima and maxima may
not precisely represent the true position
of the atom columns, and they may not be a
strict one-to-one correspondence of
intensity maxima/minima and atom columns.
In general, HRTEM images suffer from
"delocalization." This means that the
information arriving at one image point is
not entirely from one object point
(projection point in the exit surface of
the specimen) but originates from an
extended region. Conversely, the
information from one object point is
distributed over a certain region in the
image.
In Fig. 2, these complications
become apparent as one moves toward the
corner of the cluster marked by the arrow.
The arrow in Fig. 2 points to "ghost"
lattice fringes that leach out into the
vacuum. Without removing these artifacts
generated by delocalize station, it is
difficult to determine where the metal atom
cluster ends, and a determination of atom
coordinates will be highly unreliable. A
powerful method for removing the artifacts
generated by delocalization is exit-wave
reconstruction from focus series [1,2].
This is actually a method of electron
holography, by which the aberration-free
complex-valued electron wave function at
the exit surface of the specimen is
reconstructed from a series of images
recorded at different focal length settings
of the objective lens. In addition to
removing artifacts, this method delivers
both the amplitude and the phase of the
electron wave. Compared to an ordinary
HRTEM image, i.e. an electron intensity
distribution, this is twice as much
information. Owing to the particular
interaction between high-energy electrons
and matter, the phase of the electron wave
usually provides directly interpretable and
highly precise information about the
position of atom columns in the specimen.
Such artifact-free images of the true
atomistic structure of catalyst
nanoparticles will lend themselves for
analyzing subtle strain effects by digital
image processing.
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1. A. Thust, M. Lentzen, and K. Urban:
Non-linear reconstruction of the exit
plane wave function from periodic
high-resolution electron microscopy
images. Ultramicroscopy 53 (1994)
101.
2. W. M. J. Coene, A. Thust, M. Op de
Beeck, and D. Van Dyck: Maximum-likelihood
method for focus-variation image
reconstruction in high resolution transmission
electron microscopy. Ultramicroscopy 64
(1996) 109.
This
material is based upon work supported by
the Army Research Office (ARO). Any
opinions, findings, and conclusions or
recommendations expressed in this material
are those of the author(s) and do not
necessarily reflect the views of the
ARO.
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