Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2016A multi-slice simulation algorithm for grazing-incidence small-angle X-ray scattering7citations
  • 2013MPQC: Performance Analysis and Optimizationcitations

Places of action

Chart of shared publication
Kumar, Dinesh
1 / 21 shared
Venkatakrishnan, S. V.
1 / 1 shared
Li, Xiaoye S.
1 / 1 shared
Sinha, Sunil K.
1 / 4 shared
Bailey, David
1 / 1 shared
Williams, Samuel
1 / 2 shared
Chart of publication period
2016
2013

Co-Authors (by relevance)

  • Kumar, Dinesh
  • Venkatakrishnan, S. V.
  • Li, Xiaoye S.
  • Sinha, Sunil K.
  • Bailey, David
  • Williams, Samuel
OrganizationsLocationPeople

article

A multi-slice simulation algorithm for grazing-incidence small-angle X-ray scattering

  • Sarje, Abhinav
  • Kumar, Dinesh
  • Venkatakrishnan, S. V.
  • Li, Xiaoye S.
  • Sinha, Sunil K.
Abstract

<jats:p>Grazing-incidence small-angle X-ray scattering (GISAXS) is an important technique in the characterization of samples at the nanometre scale. A key aspect of GISAXS data analysis is the accurate simulation of samples to match the measurement. The distorted-wave Born approximation (DWBA) is a widely used model for the simulation of GISAXS patterns. For certain classes of sample such as nanostructures embedded in thin films, where the electric field intensity variation is significant relative to the size of the structures, a multi-slice DWBA theory is more accurate than the conventional DWBA method. However, simulating complex structures in the multi-slice setting is challenging and the algorithms typically used are designed on a case-by-case basis depending on the structure to be simulated. In this paper, an accurate algorithm for GISAXS simulations based on the multi-slice DWBA theory is presented. In particular, fundamental properties of the Fourier transform have been utilized to develop an algorithm that accurately computes the average refractive index profile as a function of depth and the Fourier transform of the portion of the sample within a given slice, which are key quantities required for the multi-slice DWBA simulation. The results from this method are compared with the traditionally used approximations, demonstrating that the proposed algorithm can produce more accurate results. Furthermore, this algorithm is general with respect to the sample structure, and does not require any sample-specific approximations to perform the simulations.</jats:p>

Topics
  • impedance spectroscopy
  • theory
  • thin film
  • simulation
  • X-ray scattering