920 research outputs found
Diffusion of Hydrogen in Pd Assisted by Inelastic Ballistic Hot Electrons
Sykes {\it et al.} [Proc. Natl. Acad. Sci. {\bf 102}, 17907 (2005)] have
reported how electrons injected from a scanning tunneling microscope modify the
diffusion rates of H buried beneath Pd(111). A key point in that experiment is
the symmetry between positive and negative voltages for H extraction, which is
difficult to explain in view of the large asymmetry in Pd between the electron
and hole densities of states. Combining concepts from the theory of ballistic
electron microscopy and electron-phonon scattering we show that H diffusion is
driven by the -band electrons only, which explains the observed symmetry.Comment: 5 pages and 4 figure
Diffusion of hydrogen interstitials in the near-surface region of Pd(111) under the influence of surface coverage and external static electric fields
Past scanning tunneling microscopy (STM) experiments of H manipulation on
Pd(111), at low temperature, have shown that it is possible to induce
diffusion of surface species as well as of those deeply buried under the
surface. Several questions remain open regarding the role of subsurface site
occupancies. In the present work, the interaction potential of H atoms with
Pd(111) under various H coverage conditions is determined by means of density
functional theory calculations in order to provide an answer to two of these
questions: (i) whether subsurface sites are the final locations for the H
impurities that attempt to emerge from bulk regions, and (ii) whether
penetration of the surface is a competing route of on-surface diffusion during
depletion of surface H on densely covered Pd(111). We find that a high H
coverage has the effect of blocking resurfacing of H atoms travelling from
below, which would otherwise reach the surface fcc sites, but it hardly alters
deeper diffusion energy barriers. Penetration is unlikely and restricted to
high occupancies of hcp hollows. In agreement with experiments, the Pd lattice
expands vertically as a consequence of H atoms being blocked at subsurface
sites, and surface H enhances this expansion. STM tip effects are included in
the calculations self-consistently as an external static electric field. The
main contribution to the induced surface electric dipoles originates from the
Pd substrate polarisability. We find that the electric field has a non-
negligible effect on the H-Pd potential in the vicinity of the topmost Pd
atomic layer, yet typical STM intensities of 1-2 VÅ−1 are insufficient to
invert the stabilities of the surface and subsurface equilibrium sites
Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels
Texture information allows characterizing the regions of interest in a scene. It refers to the spatial organization of the fundamental microstructures in natural images. Texture extraction has been a challenging problem in the field of image processing for decades. In this paper, different techniques based on the classic Bag of Words (BoW) approach for solving the texture extraction problem in the case of hyperspectral images of the Earth surface are proposed. In all cases the texture extraction is performed inside regions of the scene called superpixels and the algorithms profit from the information available in all the bands of the image. The main contribution is the use of superpixel segmentation to obtain irregular patches from the images prior to texture extraction. Texture descriptors are extracted from each superpixel. Three schemes for texture extraction are proposed: codebook-based, descriptor-based, and spectral-enhanced descriptor-based. The first one is based on a codebook generator algorithm, while the other two include additional stages of keypoint detection and description. The evaluation is performed by analyzing the results of a supervised classification using Support Vector Machines (SVM), Random Forest (RF), and Extreme Learning Machines (ELM) after the texture extraction. The results show that the extraction of textures inside superpixels increases the accuracy of the obtained classification map. The proposed techniques are analyzed over different multi and hyperspectral datasets focusing on vegetation species identification. The best classification results for each image in terms of Overall Accuracy (OA) range from 81.07% to 93.77% for images taken at a river area in Galicia (Spain), and from 79.63% to 95.79% for a vast rural region in China with reasonable computation timesThis work was supported in part by the Civil Program UAVs Initiative, promoted by the Xunta de Galicia and developed in partnership with the Babcock Company to promote the use of unmanned technologies in civil services. We also have to acknowledge the support by Ministerio de Ciencia e Innovación, Government of Spain (grant number PID2019-104834GB-I00), and Consellería de Educación, Universidade e Formación Profesional (ED431C 2018/19, and accreditation 2019-2022 ED431G-2019/04). All are cofunded by the European Regional Development Fund (ERDF)S
Dynamics and morpho-sedimentary interactions in the lower mesotidal estuary of Villaviciosa (NW Spain) : A management proposal
The accumulation of sediment in the mouth of Villaviciosa estuary (NW Spain) is becoming an obstaclefor the safe navigation in this estuary. One sector of its outer inlet is characterised by a broad shoal linkedwith a longshore bar of a beach, whose erosion is causing the silting of this area. On this basis, this paperaims to describe the processes that occurred in the lower part of the estuary due to the anthropogenicactivities in the channel and inlet. For this purpose, several measurements were made in the watercolumn and in the sedimentary bottoms to characterise the processes that occur in this area. Based onthese results, a dynamic and morpho-sedimentary model was developed to examine the interactionsbetween the lower estuary and the exposed part of the confining barrier beach, which allows to establishthe evolutionary trends of sedimentary bottoms linked to the marina of El Puntal. Different managementmeasures are carried out to reduce the impact of the sediment accumulation on the navigability, such asperiodically dredging in the inlet of the estuary, and the subsequent dumping of the sediments in areasnear to the closure depth. Consequently, future retreat of narrow inlet and sandy shoal can be avoided,maintaining the sedimentary volume in the system
Finding the subtle balance between van der Waals interactions and hybridisation
We use density-functional theory (DFT) to analyse the interaction of trans-
and cis-porphycene with Cu(111) and their interconversion by intramolecular
H-transfer. This tautomerisation reaction is characterised by small values for
the reaction energy and barrier, on the order of ∼0.1 eV, where the trans
configuration is thermodynamically more stable upon adsorption according to
the experiments [J. N. Ladenthin et al., ACS Nano 9, 7287–7295 (2015)]. To
gain even a qualitatively correct description of this reaction at the DFT
level, an accurate treatment of dispersion interactions and a careful choice
of the exchange contribution are required in order to predict the subtle
energetics. Analysis of the electronic structure shows that adsorption is
contributed by a van der Waals (vdW) interaction, mainly responsible for
stabilising the polyaromatic fragments, and by a significant charge
redistribution localised between Cu and the unsaturated N atoms of the
molecule central cavity. We find that different vdW functionals can produce
qualitatively different electronic structures, while yielding small trans vs.
cis energy differences. Unlike other functionals surveyed here, vdW-DF with
PBE exchange satisfactorily reproduces not only the experimental energetics
but also the scanning tunneling microscopy images. This gives us confidence
that this functional achieves a reliable balance between the two mechanisms
contributing to the adsorption of porphycene
The PointGroupNRG code for numerical renormalization group calculations with discrete point-group symmetries
The numerical renormalization group (NRG) has been widely used as a magnetic
impurity solver since the pioneering works by Wilson. Over the past decades, a
significant attention has been focused on the application of symmetries in
order to reduce the computational cost of the calculations and to improve their
accuracy. In particular, a notable progress has been made in implementing
continuous symmetries such as , useful for studying impurities in an
isotropic medium, or , which is applicable to a wide range of systems.
In this work, we focus on the application of discrete point group symmetries,
which are particularly relevant for impurity systems in metals where crystal
field effects are important. With this aim, we have developed an original NRG
code written in the Julia language, PointGroupNRG, where we have implemented
crystal point-group symmetries for the Anderson impurity model, as well as the
continuous spin and charge symmetries. Among other results, we demonstrate the
advantage of our procedure by performing thermodynamic calculations for an
impurity system with two orbitals of symmetry and two channels. We
compare the results with those obtained for an approximate equivalent model
with continuous orbital symmetry.Comment: 17 pages, 1 figur
Quantitative LEED analysis using a simultaneous optimisation algorithm
The performance of a combinatorial simultaneous optimisation algorithm (SO)
is tested using experimental LEED I(E) data from Cu(100) and FeAl(100) surfaces. SO optimises structures taking advantage of the experimental database at two
levels:
(i) conmensurate subsets of the database with the number of unknown parameters
are chosen to find local solutions using Broyden's method and,
(ii) these partial structural solutions are used to build a Markov chain over
the whole database.
This procedure is of global character, the same as simulated annealing or
genetic algorithms methods, but
displays a very competitive scaling law
because after the first iteration candidates are not chosen by a blind/random pick; they are already solutions to the problem with a restricted experimental database.Financed by CYCIT (MAT-2005-3866) and MEC (CONSOLIDER NANOSELEC-26400
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