ArticleIUCrJ2022
Reverse-engineering method for XPCS studies of non-equilibrium dynamics.
Article in IUCrJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- On the analysis of two-time correlation functions: equilibrium versus non-equilibrium systems.Journal of applied crystallography · 2024Article
- Transport coefficient approach for characterizing nonequilibrium dynamics in soft matter.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Lipid vesicle pools studied by passive X-ray microrheology.The European physical journal. E, Soft matter · 2023Article
- Exploring non-equilibrium processes and spatio-temporal scaling laws in heated egg yolk using coherent X-rays.Nature communications · 2023Article
- Direct measurement of Stokes-Einstein diffusion of Cowpea mosaic virus with 19 µs-resolved XPCS.Journal of synchrotron radiation · 2022Article
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Authors and funding
11 authors.
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Abstract
X-ray photon correlation spectroscopy (XPCS) is a powerful tool in the investigation of dynamics covering a broad time and length scale. It has been widely used to probe dynamics for systems in both equilibrium and non-equilibrium states; in particular, for systems undergoing a phase transition where the structural growth kinetics and the microscopic dynamics are strongly intertwined. The resulting time-dependent dynamic behavior can be described using the two-time correlation function (TTC), which, however, often contains more interesting features than the component along the diagonal, and cannot be easily interpreted via the classical simulation methods. Here, a reverse engineering (RE) approach is proposed based on particle-based heuristic simulations. This approach is applied to an XPCS measurement on a protein solution undergoing a liquid-liquid phase separation. It is demonstrated that the rich features of experimental TTCs can be well connected with the key control parameters including size distribution, concentration, viscosity and mobility of domains. The dynamic information obtained from this RE analysis goes beyond the existing theory. The RE approach established in this work is applicable for other processes such as film growth, coarsening or evolving systems.
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