14 June 2024
H.C. Ørsted Institute
Europe/Copenhagen timezone
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Topological Data Analysis of Phase Transitions in Soft Active Matter Systems

14 Jun 2024, 15:30
1h 40m
Auditorium 3 & Hall (H.C. Ørsted Institute)

Auditorium 3 & Hall

H.C. Ørsted Institute

Universitetsparken 5 2100 København Ø

Description

This thesis explores the application of algebraic topological methods, particularly persistent homology, in the analysis of models within statistical, condensed matter, and active matter systems. The primary goal is to classify phase transitions in soft active matter systems characterized by topological defects. Building on preliminary studies using the XY-model as a reference, we propose to use the variance of the Wasserstein distance between persistence diagrams of positively and negatively charged topological defects as a phase transition indicator.

We further hope to extend this approach by:

-Validating the method against other classical models with topological defects or solitons.
-Generalizing the methodology to dimensions higher than two.
-Rigorously proving that this method can reliably indicate phase transitions.

This research seeks to provide a novel topological perspective on phase transitions in complex physical systems.

Field of study Physics of Complex Systems
Supervisor Amin Doostmohammadi, Martin Cramer Pedersen

Primary author

Frederik Mols (The Niels Bohr Institute, University of Copenhagen)

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