122 research outputs found
SPEDEN: Reconstructing single particles from their diffraction patterns
Speden is a computer program that reconstructs the electron density of single
particles from their x-ray diffraction patterns, using a single-particle
adaptation of the Holographic Method in crystallography. (Szoke, A., Szoke, H.,
and Somoza, J.R., 1997. Acta Cryst. A53, 291-313.) The method, like its parent,
is unique that it does not rely on ``back'' transformation from the diffraction
pattern into real space and on interpolation within measured data. It is
designed to deal successfully with sparse, irregular, incomplete and noisy
data. It is also designed to use prior information for ensuring sensible
results and for reliable convergence. This article describes the theoretical
basis for the reconstruction algorithm, its implementation and quantitative
results of tests on synthetic and experimentally obtained data. The program
could be used for determining the structure of radiation tolerant samples and,
eventually, of large biological molecular structures without the need for
crystallization.Comment: 12 pages, 10 figure
Progress in Three-Dimensional Coherent X-Ray Diffraction Imaging
The Fourier inversion of phased coherent diffraction patterns offers images
without the resolution and depth-of-focus limitations of lens-based tomographic
systems. We report on our recent experimental images inverted using recent
developments in phase retrieval algorithms, and summarize efforts that led to
these accomplishments. These include ab-initio reconstruction of a
two-dimensional test pattern, infinite depth of focus image of a thick object,
and its high-resolution (~10 nm resolution) three-dimensional image.
Developments on the structural imaging of low density aerogel samples are
discussed.Comment: 5 pages, X-Ray Microscopy 2005, Himeji, Japa
Coherent X-ray Diffractive Imaging; applications and limitations
The inversion of a diffraction pattern offers aberration-free
diffraction-limited 3D images without the resolution and depth-of-field
limitations of lens-based tomographic systems, the only limitation being
radiation damage. We review our experimental results, discuss the fundamental
limits of this technique and future plans.Comment: 7 pages, 8 figure
Three-dimensional coherent X-ray diffraction imaging of a ceramic nanofoam: determination of structural deformation mechanisms
Ultra-low density polymers, metals, and ceramic nanofoams are valued for
their high strength-to-weight ratio, high surface area and insulating
properties ascribed to their structural geometry. We obtain the labrynthine
internal structure of a tantalum oxide nanofoam by X-ray diffractive imaging.
Finite element analysis from the structure reveals mechanical properties
consistent with bulk samples and with a diffusion limited cluster aggregation
model, while excess mass on the nodes discounts the dangling fragments
hypothesis of percolation theory.Comment: 8 pages, 5 figures, 30 reference
X-ray image reconstruction from a diffraction pattern alone
A solution to the inversion problem of scattering would offer aberration-free
diffraction-limited 3D images without the resolution and depth-of-field
limitations of lens-based tomographic systems. Powerful algorithms are
increasingly being used to act as lenses to form such images. Current image
reconstruction methods, however, require the knowledge of the shape of the
object and the low spatial frequencies unavoidably lost in experiments.
Diffractive imaging has thus previously been used to increase the resolution of
images obtained by other means. We demonstrate experimentally here a new
inversion method, which reconstructs the image of the object without the need
for any such prior knowledge.Comment: 5 pages, 3 figures, improved figures and captions, changed titl
Molecular Dynamics Simulations of Temperature Equilibration in Dense Hydrogen
The temperature equilibration rate in dense hydrogen (for both T_{i}>T_{e}
and T_i<T_e) has been calculated with molecular dynamics simulations for
temperatures between 10 and 600 eV and densities between 10^{20}/cc to
10^{24}/cc. Careful attention has been devoted to convergence of the
simulations, including the role of semiclassical potentials. We find that for
Coulomb logarithms L>1, a model by Gericke-Murillo-Schlanges (GMS) [Gericke et
al., PRE 65, 036418 (2002)] based on a T-matrix method and the approach by
Brown-Preston-Singleton [Brown et al., Phys. Rep. 410, 237 (2005)] agrees with
the simulation data to within the error bars of the simulation. For smaller
Coulomb logarithms, the GMS model is consistent with the simulation results.
Landau-Spitzer models are consistent with the simulation data for L>4
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Electromigration-induced plasticity and texture in Cu interconnects
Plastic deformation has been observed in damascene Cu interconnect test structures during an in-situ electromigration experiment and before the onset of visible microstructural damage (ie. voiding) using a synchrotron technique of white beam X-ray microdiffraction. We show here that the extent of this electromigration-induced plasticity is dependent on the texture of the Cu grains in the line. In lines with strong <111> textures, the extent of plastic deformation is found to be relatively large compared to our plasticity results in the previous study [1] using another set of Cu lines with weaker textures. This is consistent with our earlier observation that the occurrence of plastic deformation in a given grain can be strongly correlated with the availability of a <112> direction of the crystal in the proximity of the direction of the electron flow in the line (within an angle of 10{sup o}). In <111> out-of-plane oriented grains in a damascene interconnect scheme, the crystal plane facing the sidewall tends to be a {l_brace}110{r_brace} plane,[2-4] so as to minimize interfacial energy. Therefore, it is deterministic rather than probabilistic that the <111> grains will have a <112> direction nearly parallel to the direction of electron flow. Thus, strong <111> textures lead to more plasticity, as we observe
Femtosecond x-ray diffraction reveals a liquid–liquid phase transition in phase-change materials
6 pags., 5 figs.In phase-change memory devices, a material is cycled between glassy and crystalline states. The highly temperature-dependent kinetics of its crystallization process enables application in memory technology, but the transition has not been resolved on an atomic scale. Using femtosecond x-ray diffraction and ab initio computer simulations, we determined the time-dependent pair-correlation function of phase-change materials throughout the melt-quenching and crystallization process. We found a liquid–liquid phase transition in the phase-change materials AgInSbTe and GeSb at 660 and 610 kelvin, respectively. The transition is predominantly caused by the onset of Peierls distortions, the amplitude of which correlates with an increase of the apparent activation energy of diffusivity. This reveals a relationship between atomic structure and kinetics, enabling a systematic optimization of the memory-switching kinetics.F.Q., A.K., M.N., and K.S.T. gratefully acknowledge financial support
from the German Research Council through the Collaborative
Research Center SFB 1242 project 278162697 (“Non-Equilibrium
Dynamics of Condensed Matter in the Time Domain”), project C01
(“Structural Dynamics in Impulsively Excited Nanostructures”),
and individual grant So408/9-1, as well as the European Union
(7th Framework Programme, grant no. 280555 GO FAST). M.J.S.,
R.M., and M.W. acknowledge financial support from the German
Research Council through the Collaborative Research Center
SFB 917 (“Nanoswitches”) and individual grant Ma-5339/2-1.
M.J.S., I.R., and R.M. also acknowledge the computational resources
granted by JARA-HPC from RWTH Aachen University under project
nos. JARA0150 and JARA0183. M.T., A.M.L., and D.A.R. were
supported by the U.S. Department of Energy, Office of Science,
Office of Basic Energy Sciences, through the Division of Materials
Sciences and Engineering under contract no. DE-AC02-76SF00515.
This work was performed under the auspices of the U.S.
Department of Energy by Lawrence Livermore National Laboratory
under contract DE-AC52-07NA27344. J.L. acknowledges support
from the Swedish Research Council. J.S. acknowledges financial
support from the Spanish Ministry of Science, Innovation and
Universities through research grant UDiSON (TEC2017-82464-R).
P.Z. gratefully acknowledges funding by the Humboldt Foundatio
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