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...
Thermoelectric (TE) materials has been drawn broad attention given that it can enable direct conversion between thermal and electrical energies, hence is treated as a vital candidate for clean power generation as well as waste heat recycling. However, the energy conversion efficiency of TE devices used nowadays is still very...
This dissertation aims to develop innovative analytical methods that integrate engineering, marketing, and social science disciplines to incorporate heterogeneous consumer preferences into product design using network-based customer preference modeling. Both companies and designers frequently face difficulties in understanding and addressing customer preferences, which can result in product failure and loss...
We rely on the properties of our skeletal muscles to traverse our world, interact with objects, and complete everyday tasks. The macroscopic properties of muscles that endow us with these abilities arise from the material properties of muscle fibers and the surrounding extracellular matrix (ECM), as well as how they...
Recommender systems (RSs) have become essential tools that provide personalized recommendations to their users. These systems may consider user, item provider, and system requirements simultaneously. With the inclusion of possibly clashing considerations, there is a growing focus on solving multiple-objective recommender system (MORS) problems as efficiently as possible. The constrained...
Historically, there have been large disparities in the degree to which different communities have access to resources and representation within society. With the increased availability of the internet and the growth of user-generated content platforms like Twitter and Wikipedia, there are opportunities to alleviate some these long-standing barriers to access...
Peptides consists of a series of amino acids connected via an amide type of covalent chemical bond. A diverse field of applications such as biosensors,2 catalysis,4 and biomedicine6 include the oligomeric forms of peptides due to their genuine features comparing to other biomacromolecules. Particularly, peptides in the field of biomedical...
Promyelocytic leukemia (PML) nuclear bodies act as quality control centers in the nucleus, participating in a plethora of nuclear functions. As such, PML bodies are a signature model for functional nuclear organization. PML bodies have a dynamic protein composition that responds to changing conditions of the cell. Many of the...
We establish the criterion for chaos in three-planet systems, for systems similar to those discovered by the Kepler spacecraft. Our main results are as follows: (i) The simplest criterion, which is based on overlapping mean motion resonances (MMRs), only agrees with numerical simulations at a very crude level. (ii) Much...
Machine learning and deep learning have been proven successful across various scientific fields, such as computer vision, natural language processing, and recommendation systems. As models become more complex, with more parameters and intricate architectures, they can achieve higher prediction accuracy when trained on larger datasets. However, despite the great prediction...