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Dive into the research topics where N. C. Bartelt is active.

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Featured researches published by N. C. Bartelt.


New Journal of Physics | 2009

Factors influencing graphene growth on metal surfaces

Elena Loginova; N. C. Bartelt; Peter J. Feibelman; K. F. McCarty

Graphene forms from a relatively dense, tightly bound C-adatom gas when elemental C is deposited on or segregates to the Ru(0001) surface. Nonlinearity of the graphene growth rate with C-adatom density suggests that growth proceeds by addition of C atom clusters to the graphene edge. The generality of this picture has now been studied by use of low-energy electron microscopy (LEEM) to observe graphene formation when Ru(0001) and Ir(111) surfaces are exposed to ethylene. The finding that graphene growth velocities and nucleation rates on Ru have precisely the same dependence on adatom concentration as for elemental C deposition implies that hydrocarbon decomposition only affects graphene growth through the rate of adatom formation. For ethylene, that rate decreases with increasing adatom concentration and graphene coverage. Initially, graphene growth on Ir(111) is like that on Ru: the growth velocity is the same nonlinear function of adatom concentration (albeit with much smaller equilibrium adatom concentrations, as we explain with DFT calculations of adatom formation energies). In the later stages of growth, graphene crystals that are rotated relative to the initial nuclei nucleate and grow. The rotated nuclei grow much faster. This difference suggests firstly, that the edge-orientation of the graphene sheets relative to the substrate plays an important role in the growth mechanism, and secondly, that attachment of the clusters to the graphene is the slowest step in cluster addition, rather than formation of clusters on the terraces.


Nano Letters | 2013

Intercalation Pathway in Many-Particle LiFePO4 Electrode Revealed by Nanoscale State-of-Charge Mapping

William C. Chueh; Farid El Gabaly; Joshua D. Sugar; N. C. Bartelt; Anthony H. McDaniel; Kyle R. Fenton; Kevin R. Zavadil; Tolek Tyliszczak; Wei Lai; Kevin F. McCarty

The intercalation pathway of lithium iron phosphate (LFP) in the positive electrode of a lithium-ion battery was probed at the ∼40 nm length scale using oxidation-state-sensitive X-ray microscopy. Combined with morphological observations of the same exact locations using transmission electron microscopy, we quantified the local state-of-charge of approximately 450 individual LFP particles over nearly the entire thickness of the porous electrode. With the electrode charged to 50% state-of-charge in 0.5 h, we observed that the overwhelming majority of particles were either almost completely delithiated or lithiated. Specifically, only ∼2% of individual particles were at an intermediate state-of-charge. From this small fraction of particles that were actively undergoing delithiation, we conclude that the time needed to charge a particle is ∼1/50 the time needed to charge the entire particle ensemble. Surprisingly, we observed a very weak correlation between the sequence of delithiation and the particle size, contrary to the common expectation that smaller particles delithiate before larger ones. Our quantitative results unambiguously confirm the mosaic (particle-by-particle) pathway of intercalation and suggest that the rate-limiting process of charging is initiating the phase transformation by, for example, a nucleation-like event. Therefore, strategies for further enhancing the performance of LFP electrodes should not focus on increasing the phase-boundary velocity but on the rate of phase-transformation initiation.


Nature | 2001

Nanostructures: Self-assembled domain patterns

Richard A. Plass; N. C. Bartelt; G. L. Kellogg

The ordered domain patterns that form spontaneously in a wide variety of chemical and physical systems as a result of competing interatomic interactions can be used as templates for fabricating nanostructures. Here we describe a new self-assembling domain pattern on a solid surface that involves two surface structures of lead on copper. The evolution of the system agrees with theoretical predictions, enabling us to probe the interatomic force parameters that are crucial to the process.


Nature | 1999

Identifying the forces responsible for self-organization of nanostructures at crystal surfaces

Karsten Pohl; M.C. Bartelt; J. de la Figuera; N. C. Bartelt; J. Hrbek; R. Q. Hwang

The spontaneous formation of organized surface structures at nanometre scales, has the potential to augment or surpass standard materials patterning technologies. Many observations of self-organization of nanoscale clusters at surfaces have been reported, but the fundamental mechanisms underlying such behaviour — and in particular, the nature of the forces leading to and stabilizing self-organization — are not well understood. The forces between the many-atom units in these structures, with characteristic dimensions of one to tens of nanometres, must extend far beyond the range of typical interatomic interactions. One commonly accepted source of such mesoscale forces is the stress field in the substrate around each unit,. This, however, has not been confirmed, nor have such interactions been measured directly. Here we identify and measure the ordering forces in a nearly perfect triangular lattice of nanometre-sized vacancy islands that forms when a single monolayer of silver on the ruthenium (0001) surface is exposed to sulphur at room temperature. By using time-resolved scanning tunnelling microscopy to monitor the thermal fluctuations of the centres of mass of the vacancy islands around their final positions in the self-organized lattice, we obtain the elastic constants of the lattice and show that the weak forces responsible for its stability can be quantified. Our results are consistent with general theories of strain-mediated interactions between surface defects in strained films.


Ultramicroscopy | 2008

Towards better 3-D reconstructions by combining electron tomography and atom-probe tomography

Ilke Arslan; Emmanuelle A. Marquis; Mark Homer; Michelle A. Hekmaty; N. C. Bartelt

Scanning transmission electron microscope tomography and atom-probe tomography are both three-dimensional techniques on the nanoscale. We demonstrate here the combination of the techniques by analyzing the very same volume of an Al-Ag alloy specimen. This comparison allows us to directly visualize the theoretically known artifacts of each technique experimentally, providing insight into the optimal parameters to use for reconstructions and assessing the quality of each reconstruction. The combination of the techniques for accurate morphology and compositional information in three dimensions at the nanoscale provides a route for a new level of materials characterization and understanding.


Applied Physics Letters | 2010

Orientation-dependent work function of graphene on Pd(111)

Yuya Murata; Elena Starodub; Branden B. Kappes; Cristian V. Ciobanu; N. C. Bartelt; Kevin F. McCarty; Suneel Kodambaka

Selected-area diffraction establishes that at least six different in-plane orientations of monolayer graphene on Pd(111) can form during graphene growth. From the intensities of low-energy electron microscopy images as a function of incident electron energy, we find that the work functions of the different rotational domains vary by up to 0.15 eV. Density functional theory calculations show that these significant variations result from orientation-dependent charge transfer from Pd to graphene. These findings suggest that graphene electronics will require precise control over the relative orientation of the graphene and metal contacts.


ACS Nano | 2011

Growth from Below: Graphene Bilayers on Ir(111)

Shu Nie; Andrew L. Walter; N. C. Bartelt; Elena Starodub; Eli Rotenberg; Kevin F. McCarty

We elucidate how graphene bilayers form on Ir(111). Low-energy electron diffraction (LEED) reveals that the two graphene layers are not always rotationally aligned. Monitoring this misalignment during growth shows that second-layer islands nucleate between the existing layer and the substrate. This mechanism occurs both when C segregates from the Ir and when elemental C is deposited from above. Low-energy electron microscopy (LEEM) and angle-resolved photoemission spectroscopy (ARPES) show that second-layer nucleation occurs preferentially under the first-layer rotational variants that are more weakly bound to the substrate. New-layer nucleation tends to occur inhomogeneously at substrate defects. Thus new-layer nucleation should be rapid on substrates that weakly bind graphene, making growth unstable toward mound formation initiated at substrate defects. In contrast, stronger binding permits layer-by-layer growth, as for Ru(0001). ARPES shows that bilayer graphene has two slightly p-doped π-bands. The work function of bilayer graphene is dominated by the orientation of the bottom layer.


New Journal of Physics | 2012

Extraordinary epitaxial alignment of graphene islands on Au(111)

Joseph M. Wofford; Elena Starodub; Andrew L. Walter; Shu Nie; N. C. Bartelt; Konrad Thürmer; Eli Rotenberg; Kevin F. McCarty; O. D. Dubon

Pristine, single-crystalline graphene displays a unique collection of remarkable electronic properties that arise from its two-dimensional, honeycomb structure. Using in situ low-energy electron microscopy, we show that when deposited on the (111) surface of Au carbon forms such a structure. The resulting monolayer, epitaxial film is formed by the coalescence of dendritic graphene islands that nucleate at a high density. Over 95% of these islands can be identically aligned with respect to each other and to the Au substrate. Remarkably, the dominant island orientation is not the better lattice-matched 30° rotated orientation but instead one in which the graphene [01] and Au [011] in-plane directions are parallel. The epitaxial graphene film is only weakly coupled to the Au surface, which maintains its reconstruction under the slightly p-type doped graphene. The linear electronic dispersion characteristic of free-standing graphene is retained regardless of orientation. That a weakly interacting, non-lattice matched substrate is able to lock graphene into a particular orientation is surprising. This ability, however, makes Au(111) a promising substrate for the growth of single crystalline graphene films.


Physical Review B | 2009

Graphene Growth by Metal Etching on Ru (0001)

Elena Starodub; Sabine Maier; Ingeborg Stass; N. C. Bartelt; Peter J. Feibelman; Miquel Salmeron; Kevin F. McCarty

Low-energy electron microscopy (LEEM) reveals a new mode of graphene growth on Ru(0001) in which Ru atoms from a step edge are injected under a growing graphene sheet. The injected atoms can form under-graphene islands, or incorporate into the topmost Ru layer, thereby increasing its density and forming dislocation networks. Density functional calculations imply that Ru islands nucleated between the graphene layer and the substrate are energetically stable; scanning tunneling microscopy (STM) reveals that dislocation networks exist near step edges.


Nature | 2000

Dynamics of the silicon (111) surface phase transition

J. B. Hannon; H. Hibino; N. C. Bartelt; B. S. Swartzentruber; T. Ogino; G. L. Kellogg

The manner in which phase transformations occur in solids determines important structural and physical properties of many materials. The main problem in characterizing the kinetic processes that occur during phase transformations is the difficulty of observing directly, in real time, the growth of one phase at the expense of another. Here we use low-energy electron microscopy to study the real-time kinetics of a phase transformation confined to the silicon (111) surface. We show that the transformation is governed by the rate at which material is exchanged between the first layer of the crystal and the surface. In bulk phase transformations, the dynamics are usually governed either by the rate of diffusion of material to the phase boundaries or by the structural rearrangement of atoms at the phase boundary. The kinetic process that we have identified here has no bulk analogue and leads to domain dynamics that are qualitatively different from those expected for bulk systems.

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R. Q. Hwang

Sandia National Laboratories

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Kevin F. McCarty

Sandia National Laboratories

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Konrad Thürmer

Sandia National Laboratories

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G. L. Kellogg

Sandia National Laboratories

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J. de la Figuera

Autonomous University of Madrid

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Shu Nie

Sandia National Laboratories

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K. F. McCarty

Sandia National Laboratories

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Peter J. Feibelman

Sandia National Laboratories

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J. C. Hamilton

Sandia National Laboratories

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Gary Lee Kellogg

Sandia National Laboratories

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