This thesis explores the complex behaviors of whirl-like structures, known as vortices, in fluids that behave according to quantum mechanics, unlike ordinary liquids. Using computer models and machine learning simulation techniques, the study investigates how these vortices interact and organize themselves under different conditions. The findings enhance our understanding of fluid dynamics in quantum environments and offer new insights into the fundamental laws of thermodynamics in such systems far from equilibrium. This research not only advances scientific knowledge in quantum vortex related physics but also has potential implications for developing new quantum related technologies.
History
Thesis type
Thesis (PhD)
Thesis note
Thesis submitted for the Degree of Doctor of Philosophy, Swinburne University of Technology, 2024.