Decision-making involves the identification and selection of options, guided by a predetermined set of criteria and personal preferences set by the decision-maker. Each option presents a unique trajectory and profile in ...

Cardiovascular diseases (CVDs) are the leading cause of global mortality, emphasizing the urgent need for accurate, accessible, and interpretable risk assessment methodologies. This dissertation introduces a deep learning ...

All pristine nanostructured materials are susceptible to disruptions in their chemical composition and expected crystal structure, where these disruptions are commonly referred to as defects. At first glance, defects may ...

Numerous mechanical processes are governed by complex multi-scale dynamics (e.g. manufacturing, robotic systems, and building thermal control), which often involve the interaction of various physical phenomena, making it ...

We use both molecular dynamics (MD) simulations and density functional theory (DFT) calculations to investigate various nanomechanical properties of nanoparticles under compression, exfoliation of perovskite heterogeneous ...

ABSTRACTDistributed optimization has gained much attention over recent years as the world generates ever more data. At the same time machine learning methods are able to solve many new problems. As the desire to train ...

The global Covid-19 pandemic has caused massive disruption to social practices of nearly every kind, impelling groups and institutions to migrate in-person activities onto digital videoconferencing platforms such as Zoom. ...

Computational fluid dynamics (CFD)-based aerodynamic design optimization requires automation, particularly when dealing with complex geometries that require boundary conforming meshes. To address this issue and help automate ...

Microbially produced surfactants offer fertile ground for the discovery and development of low-cost alternative cancer specific biologics to treat breast cancer. Naturally derived through simple fermentations in high titers, ...

In this dissertation, we delve into an in-depth analysis of the $SU(2)$ Georgi-Glashow model in a four-dimensional space-time configuration, particularly emphasizing its strong coupling behavior. We systematically investigate ...