activity
20072023
most citedNucleation of dislocations and their dynamics in layered oxides cathode materials during battery charging

431 citations · 1.4k across the 38 of their papers we have counts for

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Showing cond-mat.softShow all

14 papers · 1 filter

cond-mat.soft2023★ 14 cited

Coherent X-ray Scattering Reveals Nanoscale Fluctuations in Hydrated Proteins

Maddalena Bin, Mario Reiser, Mariia Filianina +15

Hydrated proteins undergo a transition in the deeply supercooled regime, which is attributed to rapid changes in hydration water and protein structural dynamics. Here, we investiga…

cond-mat.soft2021

Angular structure factor of the hexatic-B liquid crystals: bridging theory and experiment

Ivan A. Zaluzhnyy, Ruslan P. Kurta, Michael Sprung +2

We report results from X-ray scattering studies of the angular structure factor of liquid crystal hexatic-B films. According to the sixfold rotational symmetry of the hexatic-B pha…

cond-mat.soft2021

In-situ Characterization of Crystallization and Melting of Soft, Thermoresponsive Microgels by Small-Angle X-ray Scattering

Dmitry Lapkin, Nastasia Mukharamova, Dameli Assalauova +8

Depending on the volume fraction and interparticle interactions, colloidal suspensions can form different phases, ranging from fluids, crystals, and glasses to gels. For soft micro…

cond-mat.soft2021

Gelation dynamics upon pressure-induced liquid-liquid phase separation in a water-lysozyme solution

M. Moron, A. Al-Masoodi, C. Lovato +9

Employing X-ray photon correlation spectroscopy we measure the kinetics and dynamics of a pressure-induced liquid-liquid phase separation (LLPS) in a water-lysozyme solution. Scatt…

cond-mat.soft2021

Using low dose X-ray Speckle Visibility Spectroscopy to study dynamics of soft matter samples

Johannes Möller, Mario Reiser, Jörg Hallmann +10

We demonstrate the successful application of X-ray Speckle Visibility Spectroscopy (XSVS) experiments to study the dynamics of radiation sensitive, biological samples with unpreced…

cond-mat.soft2021

Automated matching of two-time X-ray photon correlation maps from protein dynamics with Cahn-Hilliard type simulations using autoencoder networks

S. Timmermann, V. Starostin, A. Girelli +10

We use machine learning methods for an automated classification of experimental XPCS two-time correlation functions from an arrested liquid-liquid phase separation of a protein sol…