Due to their ubiquitous presence in bioactive molecules, the development of new methodologies for the synthesis of nitrogen heteroaromatic scaffolds is key to the field of organic chemistry. In this thesis, acceptor-acceptor metal carbenes derived from diazo compounds were utilized in the development of synthetic methodologies that allow for the mo...
In the first chapter of this thesis, the production and characterization of inorganic-organic hybrid materials is discussed. Inorganic-organic hybrids allow for the modification of physical properties and the addition of new features in polymer-based systems, and thus have received great interest. This thesis demonstrates that titanium oxide hydrat...
We generate spin squeezed ground states in an atomic spin-1 Bose-Einstein condensate tuned near the quantum critical point between the polar and ferromagnetic quantum phases of the interacting spin ensemble. In contrast to typical non-equilibrium methods for preparing atomic squeezed states by quenching through a quantum phase transition, squeezed ...
/ Ph.D.
Azuero Pedraza, C; Thomas, Valerie; Ingwersen, Wesley. 2022. Incorporating new technologies in EEIO models - manuscript in submission / This data corresponds to the paper "Incorporating new technologies in EEIO models". These are the input files required to run the new technologies methodology within USEEIO v2 model for the woody-based biofuels cas...
Interview portion of Lost in the Stacks, episode 519. Features interview with Jason Aukerman and Carrie Cooper of the Center for Ray Bradbury Studies at IUPUI.
Two important problems in behavioral medicine are modeling the risk of adverse health behaviors such as smoking, and classifying longitudinal health data to determine health conditions. Models for each can be used for prediction in order to inform just in time adaptive interventions (JITAI) and inference to help behavioral scientists understand pro...
This thesis has two themes. In chapters 1 and 2 we investigate tractable approximations to specific classes of computationally hard problems as they relate to the areas of signal estimation, system identification and control. In chapters 3 and 4 we focus on the algorithmic development for the solution of variational inequalities and stochastic vers...
The objective of this project is to develop new approaches for analyzing dynamic functional network connectivity (dFNC) and investigate the link between dFNC with cognitive score and symptom severity in different neurological disorders, including schizophrenia, major depressive disorder, and Alzheimer’s disease. Knowing that the brain is highly dyn...
Stereolithography (SLA) 3D printing is a vat photopolymerization additive manufacturing process that utilizes photocurable resin, which requires sacrificial supporting structures on part overhangs, increasing material waste and post-processing time. This study details a novel process for conducting top-down SLA 3D printing from a thin resin layer l...
