Automated matching of two-time X-ray photon correlation maps from phase-separating proteins with Cahn–Hilliard-type simulations using auto-encoder networks

Timmermann, S.; Starostin, V.; Girelli, A.; Ragulskaya, A.; Rahmann, H.; Reiser, M.; Begam, N.; Randolph, L.; Sprung, M.; Westermeier, F.; Zhang, F.; Schreiber, F.; Gutt, C.

doi:10.1107/S1600576722004435

Journal of Applied Crystallography Journal of Applied
Crystallography

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Figure 7
(a) Fitted parameters ε and $[\Psi_{{\rm gel}}]$ as a function of quench temperature. (b) Phase diagram derived from the free energy density used in the simulation displaying the spinodal and binodal line. The points represent the predictions of the neural networks for the experimental TTCs and mark the region of the gelation (guide to the eye) in the framework of the simulation.

JOURNAL OF
APPLIED
CRYSTALLOGRAPHY

ISSN: 1600-5767

Volume 55| Part 4| August 2022| Pages 751-757

https://doi.org/10.1107/S1600576722004435

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