Advanced grazing-incidence techniques for modern soft-matter materials analysis

The complex nano-morphology of modern soft-matter materials is successfully probed with advanced grazing-incidence techniques. Based on grazing-incidence small- and wide-angle X-ray and neutron scattering (GISAXS, GIWAXS, GISANS and GIWANS), new possibilities arise which are discussed with selected...

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Bibliographic Details
Published in:IUCrJ Vol. 2; no. 1; pp. 106 - 125
Main Authors: Hexemer, Alexander, Müller-Buschbaum, Peter
Format: Journal Article
Language:English
Published: England International Union of Crystallography 01.01.2015
Subjects:
CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Data processing
Diffraction
Feasibility
GISANS
GISAXS
GIWAXS
grazing-incidence techniques
Materials selection
morphology
Nanostructure
Neutron scattering
Neutrons
resonant soft X-ray scattering
Scattering
soft matter
Software packages
Tuning
X-rays
United States
GIWAXS
soft matter
morphology
resonant soft X-ray scattering
GISANS
grazing-incidence techniques
GISAXS
ISSN:2052-2525, 2052-2525
Online Access:Get full text
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Description
Summary:The complex nano-morphology of modern soft-matter materials is successfully probed with advanced grazing-incidence techniques. Based on grazing-incidence small- and wide-angle X-ray and neutron scattering (GISAXS, GIWAXS, GISANS and GIWANS), new possibilities arise which are discussed with selected examples. Due to instrumental progress, highly interesting possibilities for local structure analysis in this material class arise from the use of micro- and nanometer-sized X-ray beams in micro- or nanofocused GISAXS and GIWAXS experiments. The feasibility of very short data acquisition times down to milliseconds creates exciting possibilities for in situ and in operando GISAXS and GIWAXS studies. Tuning the energy of GISAXS and GIWAXS in the soft X-ray regime and in time-of flight GISANS allows the tailoring of contrast conditions and thereby the probing of more complex morphologies. In addition, recent progress in software packages, useful for data analysis for advanced grazing-incidence techniques, is discussed.
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USDOE
AC02-05CH11231
ISSN:2052-2525
2052-2525
DOI:10.1107/S2052252514024178