Renewable energy technology, more so than ever before, is critical to the survival of humanity. For decades, concentrated efforts into designing and developing such novel devices resulted in the innovation of solar-driven photovoltaics that were competitive with nonrenewable alternatives. This thesis explores the dynamic behavior of alternative material candidates that...
The work presented in this thesis is to describe the fabrication of the nano-composites of carbonaceous materials (e.g. graphene oxide) and metal oxides (e.g. Titanium dioxide TiO2) for two specific applications in the field of public health protection: 1.) removal of micropollutants (MPs) in the aqueous environment; 2.) antimicrobial coating.The...
The need for complex and sophisticated materials continues to grow as society becomes more advanced. For many chemists, the design of these materials begins by looking towards model molecular systems for the identification of desirable properties and functions. As such, restricting oneself to C, H, N, O, and the other...
Each neuron in the primary motor cortex (M1) is like a musician in an orchestra, contributing to a larger harmony under the constraint of a “neural manifold”—a geometric score describing the correlated signals produced by the neural musicians that drive movement. Despite the widespread recognition of the importance of M1...
Interpenetrating polymer networks (IPNs) are multicomponent materials that enhance the compatibility of otherwise immiscible polymers by trapping the microstructure in a non-equilibrium state. By combining polymers with vastly different moduli, IPNs effectively disperse rigid polymers within a soft matrix, resulting in a reinforced elastomer. This approach significantly increases the modulus...
Large scale adoption of sustainable technologies for energy productionand storage can be greatly facilitated by scientific advances impacting efficiency, cost and availability. The study of materials is instrumental in both upgrading the performance of existing technologies and enabling the development of new ones, and ab-initio methods and machine learning represent...
Chronic stress is a significant risk factor for the development of numerous psychiatric disorders, including major depressive disorder (MDD). Individuals with MDD exhibit impairments in reward processing and decreased motivation to engage in previously-rewarding activities. Importantly, there is a large sex disparity in MDD diagnosis, such that it affects nearly...
The rise in children’s media use (Rideout & Robb, 2020) and the prioritization of STEM learning (Fayer et al., 2017) has led to the development of new STEM-related apps, TV shows, and other media for young children. One topic in this area gaining popularity is computational thinking (CT). Researchers refer...
A proliferation of new media platforms have upended the traditional roles that journalists have played in society, placing their work into content streams that are populated by creators who mimic the surface features of their work but not their methods. As a result, journalists’ practices and news media that they...
In this dissertation, we aim to develop a theoretical understanding of foundation models and reinforcement learning. We delve into a comprehensive analysis of specific aspects within these domains. The focal points of our study are as follows: • Generative Adversarial Imitation Learning (GAIL) with Neural Networks: GAIL is poised to...