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E. S. Božin

Researcher at Brookhaven National Laboratory

Publications -  49
Citations -  2962

E. S. Božin is an academic researcher from Brookhaven National Laboratory. The author has contributed to research in topics: Distribution function & Neutron diffraction. The author has an hindex of 20, co-authored 33 publications receiving 2607 citations. Previous affiliations of E. S. Božin include Michigan State University.

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PDFfit2 and PDFgui: computer programs for studying nanostructure in crystals

TL;DR: PDFfit2 is a program as well as a library for real-space refinement of crystal structures capable of fitting a theoretical three-dimensional structure to atomic pair distribution function data and is ideal for nanoscale investigations.
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Entropically Stabilized Local Dipole Formation in Lead Chalcogenides

TL;DR: The observation of local structural dipoles that emerge from an undistorted ground state on warming, in contrast to conventional structural phase transitions in which distortions emerge on cooling, shed light on the anomalous electronic and thermoelectric properties of the lead chalcogenides.
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Quantitative size-dependent structure and strain determination of CdSe nanoparticles using atomic pair distribution function analysis

TL;DR: In this article, the size-dependent structure of CdSe nanoparticles, with diameters ranging from $2\phantom{0.3em}{0ex}}\text{to}\phantom{\rule{ 0.3m}nm}, has been studied using the atomic pair distribution function (PDF).
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Neutron Diffraction Evidence of Microscopic Charge Inhomogeneities in the CuO 2 Plane of Superconducting La 2 − x Sr x CuO 4 ( 0 ≤ x ≤ 0.30 )

TL;DR: High-resolution atomic pair distribution functions have been obtained using neutron powder diffraction data from La2-xSrxCuO4 over the range of doping and show a broadening of the in-plane Cu-O bond distribution as a function of doping up to optimal doping.
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Improved measures of quality for the atomic pair distribution function

TL;DR: Quality criteria that help produce automated direct Fourier transformed PDFs of quality similar to hand-processed data are presented, and optimization methods are compared.