1. Microsecond hydrodynamic interactions in dense colloidal dispersions probed at the European XFEL
- Author
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Francesco Dallari, Avni Jain, Marcin Sikorski, Johannes Möller, Richard Bean, Ulrike Boesenberg, Lara Frenzel, Claudia Goy, Jörg Hallmann, Yoonhee Kim, Irina Lokteva, Verena Markmann, Grant Mills, Angel Rodriguez-Fernandez, Wojciech Roseker, Markus Scholz, Roman Shayduk, Patrik Vagovic, Michael Walther, Fabian Westermeier, Anders Madsen, Adrian P. Mancuso, Gerhard Grübel, and Felix Lehmkühler
- Subjects
free-electron lasers ,correlated fluctuations ,dynamical studies ,time-resolved studies ,xfels ,nanoscience ,saxs ,xpcs ,Crystallography ,QD901-999 - Abstract
Many soft-matter systems are composed of macromolecules or nanoparticles suspended in water. The characteristic times at intrinsic length scales of a few nanometres fall therefore in the microsecond and sub-microsecond time regimes. With the development of free-electron lasers (FELs) and fourth-generation synchrotron light-sources, time-resolved experiments in such time and length ranges will become routinely accessible in the near future. In the present work we report our findings on prototypical soft-matter systems, composed of charge-stabilized silica nanoparticles dispersed in water, with radii between 12 and 15 nm and volume fractions between 0.005 and 0.2. The sample dynamics were probed by means of X-ray photon correlation spectroscopy, employing the megahertz pulse repetition rate of the European XFEL and the Adaptive Gain Integrating Pixel Detector. We show that it is possible to correctly identify the dynamical properties that determine the diffusion constant, both for stationary samples and for systems driven by XFEL pulses. Remarkably, despite the high photon density the only observable induced effect is the heating of the scattering volume, meaning that all other X-ray induced effects do not influence the structure and the dynamics on the probed timescales. This work also illustrates the potential to control such induced heating and it can be predicted with thermodynamic models.
- Published
- 2021
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