Index Catalog // Arch : Northwestern University Institutional Repository

Description:: This manuscript describes and contextualizes the research I performed as a PhD student in Northwestern University. The first three chapters, on Markov chains, stochastic thermodynamics, and large deviation theory, describe three interrelated topics that serve as the background for subsequent research detailed in the next three chapters, on understanding the...
Keyword:: large deviation theory, thermodynamic uncertainty relations, stochastic thermodynamics, and non-equilibrium statistical mechanics
Subject:: Physical chemistry and Statistical physics
Creator:: Fu, Rueih-Sheng
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 08/23/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_994428 and http://dissertations.umi.com/northwestern:16629

Description:: There is a rich history on the study of the interplay between symmetry and synchronization in networks. At the most fundamental level, many synchronization patterns are induced by underlying network symmetries. However, when stability is taken into account, the relation between symmetry and synchronization is far from monotonic. In this...
Keyword:: complex systems, nonlinear dynamics, networks, chimeras, symmetry, and synchronization
Subject:: Applied mathematics, Statistical physics, and Systems science
Creator:: Zhang, Yuanzhao
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_764987 and http://dissertations.umi.com/northwestern:15288

Description:: Deep neural networks have achieved remarkable success in the past decade on tasks that were out of reach prior to the era of deep learning. Amongst the myriad reasons for these successes are powerful computational resources, large datasets, new optimization algorithms, and modern architecture designs. Most of the reasons are...
Keyword:: Statistical Physics, Deep Learning, and Machine Learning
Subject:: Statistical physics
Creator:: Wei, Mingwei
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_777448 and http://dissertations.umi.com/northwestern:15367

Description:: Liquid helium-3 is a remarkable substance. Even prior to the discovery of superfluidity in 1972, liquid helium-3 was the paradigm of a strongly interacting Fermi liquid. At even lower temperatures, liquid helium-3 undergoes a phase transition to a p-wave Fermi superfluid. Over 40 years since its discovery, superfluid helium-3 is...
Subject:: Condensed matter physics, Computational physics, and Statistical physics
Creator:: Wiman, Joshua John
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2018-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:14399 and etdadmin_upload_616638

Description:: Soft materials such as colloids and polymers often exhibit a variety of mesoscopic structures that are governed merely by weak physical interactions. Due to these intermediate structures, they can be easily taken out of thermal equilibrium by introducing external stimuli such as a shear flow and electromagnetic fields. This thesis...
Keyword:: Phase transition, Nonequilibrium dynamics, Coarse-grained simulations, Self-assembly, Soft matter, and Machine Learning
Subject:: Materials Science, Computational physics, and Statistical physics
Creator:: Han, Ming
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/12/2020
Date Created:: 2018-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:14411 and etdadmin_upload_618073

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