Literature DB >> 19349667

Relationship between the atomic pair distribution function and small-angle scattering: implications for modeling of nanoparticles.

Christopher L Farrow1, Simon J L Billinge.   

Abstract

The relationship between the equations used in the atomic pair distribution function (PDF) method and those commonly used in small-angle-scattering (SAS) analyses is explicitly shown. The origin of the sloping baseline, -4pirrho0, in PDFs of bulk materials is identified as originating from the SAS intensity that is neglected in PDF measurements. The nonlinear baseline in nanoparticles has the same origin, and contains information about the shape and size of the nanoparticles.

Year:  2009        PMID: 19349667     DOI: 10.1107/S0108767309009714

Source DB:  PubMed          Journal:  Acta Crystallogr A        ISSN: 0108-7673            Impact factor:   2.290


  12 in total

1.  Data requirements for the reliable use of atomic pair distribution functions in amorphous pharmaceutical fingerprinting.

Authors:  Timur Dykhne; Ryan Taylor; Alastair Florence; Simon J L Billinge
Journal:  Pharm Res       Date:  2011-01-08       Impact factor: 4.200

2.  The rise of the X-ray atomic pair distribution function method: a series of fortunate events.

Authors:  Simon J L Billinge
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-06-17       Impact factor: 4.226

3.  Tiopronin gold nanoparticle precursor forms aurophilic ring tetramer.

Authors:  Carrie A Simpson; Christopher L Farrow; Peng Tian; Simon J L Billinge; Brian J Huffman; Kellen M Harkness; David E Cliffel
Journal:  Inorg Chem       Date:  2010-11-10       Impact factor: 5.165

Review 4.  Structural Analysis of Molecular Materials Using the Pair Distribution Function.

Authors:  Maxwell W Terban; Simon J L Billinge
Journal:  Chem Rev       Date:  2021-11-17       Impact factor: 60.622

5.  Multivariate analysis of disorder in metal-organic frameworks.

Authors:  Adam F Sapnik; Irene Bechis; Alice M Bumstead; Timothy Johnson; Philip A Chater; David A Keen; Kim E Jelfs; Thomas D Bennett
Journal:  Nat Commun       Date:  2022-04-21       Impact factor: 17.694

6.  Structure-mining: screening structure models by automated fitting to the atomic pair distribution function over large numbers of models.

Authors:  Long Yang; Pavol Juhás; Maxwell W Terban; Matthew G Tucker; Simon J L Billinge
Journal:  Acta Crystallogr A Found Adv       Date:  2020-04-28       Impact factor: 2.290

7.  Signature of antiphase boundaries in iron oxide nanoparticles.

Authors:  Tobias Köhler; Artem Feoktystov; Oleg Petracic; Nileena Nandakumaran; Antonio Cervellino; Thomas Brückel
Journal:  J Appl Crystallogr       Date:  2021-11-16       Impact factor: 3.304

8.  Efficient solution of particle shape functions for the analysis of powder total scattering data.

Authors:  Alberto Leonardi; Reinhard Neder; Michael Engel
Journal:  J Appl Crystallogr       Date:  2022-03-18       Impact factor: 3.304

9.  Cu(Ir₁ - xCrx)₂S₄: a model system for studying nanoscale phase coexistence at the metal-insulator transition.

Authors:  E S Božin; K R Knox; P Juhás; Y S Hor; J F Mitchell; S J L Billinge
Journal:  Sci Rep       Date:  2014-02-12       Impact factor: 4.379

10.  Cluster-mining: an approach for determining core structures of metallic nanoparticles from atomic pair distribution function data.

Authors:  Soham Banerjee; Chia Hao Liu; Kirsten M Ø Jensen; Pavol Juhás; Jennifer D Lee; Marcus Tofanelli; Christopher J Ackerson; Christopher B Murray; Simon J L Billinge
Journal:  Acta Crystallogr A Found Adv       Date:  2020-01-01       Impact factor: 2.290

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