10 citations · 10 across the 6 of their papers we have counts for
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cond-mat.soft2025
Multiscale geometrical and topological learning in the analysis of soft matter collective dynamics
Tetiana Orlova, Amaranta Membrillo Solis, Hayley R. O. Sohn +5
Understanding the behavior and evolution of a dynamical many-body system by analyzing patterns in their experimentally captured images is a promising method relevant for a variety…
cond-mat.soft2021
Structural heterogeneity: a topological characteristic to track the time evolution of soft matter systems
Ingrid Membrillo Solis, Tetiana Orlova, Karolina Bednarska +5
We introduce structural heterogeneity, a new topological characteristic for semi-ordered materials that captures their degree of organisation at a mesoscopic level and tracks their…