Author ORCID Identifier

0009-0004-0210-0512

Date of Award

8-31-2026

Document Type

Open Access Thesis

Degree Name

Master of Science (MS)

Department

Physics, Applied

First Advisor

Jonathon Celli

Second Advisor

Chandra Yelleswarapu

Third Advisor

Mohammed Garbhi

Abstract

This thesis investigates the relationship between macroscopic rheological signals and underlying microscopic dynamics in complex fluids, specifically focusing on ”living polymers” within the cetyltrimethylammonium bromide (CTAB) and sodium salicylate (NaSal) surfactant system. The research addresses the inverse parameterization problem, demonstrating how bulk measurements like zero-shear viscosity can mask fundamentally different physical topologies, such as purely cylindrical, reptating micelles versus highly branched networks. Through the successful synthesis of viscoelastically ”degenerate” samples, the study utilizes an array of characterization techniques including frequency sweeps, Large Amplitude Oscillatory Shear (LAOS) to resolve these unique underlying states. Furthermore, the work explores further avenues of study for addressing the core issue, such as phase space and perturbation analysis, meso-macro level comparisons using microrheology via Differential Dynamic Microscopy, and the application of Physics-Informed Neural Networks (PINNs) guided by the Maximum Caliber Principle to infer microscopic relaxation spectra from macroscopic data in an effort to provide a framework for reconciling the tension between discrete microstates and continuous bulk measurements.

Comments

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Additional Files

HaslerSignaturePage.pdf (98 kB)

HaslerThesisRev2.pdf (18889 kB)

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