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Reverse-engineering method for XPCS studies of non-equilibrium dynamics.

Anastasia Ragulskaya1, Vladimir Starostin1, Nafisa Begam1

  • 1Institute of Applied Physics, University of Tübingen, Auf der Morgenstelle 10, 72076 Tübingen, Germany.

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Summary
This summary is machine-generated.

A new reverse engineering (RE) approach enhances X-ray photon correlation spectroscopy (XPCS) analysis of complex dynamics. This method effectively links experimental data to key parameters in systems like protein solutions undergoing phase separation.

Keywords:
X-ray photon correlation spectroscopydynamical simulationsliquid–liquid phase separationnon-equilibrium dynamicsphase transitionsproteinsreverse engineeringsmall-angle X-ray spectroscopy

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Area of Science:

  • Soft Matter Physics
  • Biophysics
  • Materials Science

Background:

  • X-ray photon correlation spectroscopy (XPCS) probes dynamics across various scales.
  • XPCS is crucial for equilibrium and non-equilibrium systems, especially during phase transitions.
  • Intertwined structural kinetics and dynamics in phase transitions are often analyzed using two-time correlation functions (TTCs).

Purpose of the Study:

  • To develop a novel reverse engineering (RE) approach for interpreting complex XPCS data.
  • To connect experimental TTC features with physical parameters in phase-separating protein solutions.
  • To extend the applicability of RE analysis to diverse dynamic processes.

Main Methods:

  • Utilized particle-based heuristic simulations for a reverse engineering (RE) approach.
  • Applied the RE method to analyze XPCS measurements of protein solutions undergoing liquid-liquid phase separation.
  • Investigated the relationship between experimental TTCs and system parameters like domain size, concentration, viscosity, and mobility.

Main Results:

  • Successfully linked rich features in experimental TTCs to key control parameters.
  • Demonstrated that the RE approach provides dynamic insights beyond current theoretical frameworks.
  • Validated the RE approach's effectiveness for analyzing complex dynamic systems.

Conclusions:

  • The proposed RE approach offers a powerful new tool for analyzing XPCS data.
  • This method enhances understanding of dynamics in liquid-liquid phase separation and other evolving systems.
  • The RE framework is broadly applicable to phenomena like film growth and coarsening.