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Title: DShaper: An approach for handling missing low-Q data in pair distribution function analysis of nanostructured systems

Journal Article · · Journal of Applied Crystallography (Online)
 [1];  [2];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Our article discusses the potential problems and currently available solutions in modeling powder-diffraction-based pair distribution function (PDF) data from systems where morphological feature information content includes distances in the nanometre length scale, such as finite nanoparticles, nanoporous networks and nanoscale precipitates in bulk materials. Moreover, the implications of an experimental finite minimumQvalue are reviewed by simulation, which also demonstrates the advantages of combining PDF data with small-angle scattering data. Finally, we introduced a simple Fortran90 code,DShaper, which may be incorporated into PDF data fitting routines in order to approximate the so-called `shape function' for any atomistic model.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC05-00OR22725; AC52-06NA25396; KC040602
OSTI ID:
1237630
Alternate ID(s):
OSTI ID: 1255233; OSTI ID: 1261488
Report Number(s):
LA-UR-15-21538; JACGAR; KC0402010; ERKCSNX
Journal Information:
Journal of Applied Crystallography (Online), Vol. 48, Issue 6; ISSN 1600-5767
Publisher:
International Union of CrystallographyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

Cited By (2)

Evaluation of nano- and mesoscale structural features in composite materials through hierarchical decomposition of the radial distribution function journal February 2018
Reverse Monte Carlo modeling for low-dimensional systems journal August 2019