Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
500 Days of Summer, released in 2009 and written by Scott Neustadter and Michael H. Weber, is an American film told through the perspective of Tom Hansen, the male lead. It is a story that begins with a third-person narrator, explaining that “This is a story of boy meets girl.” The narration then finishes with a warning that “you should know up front, this is not a love story” (Neustadter & Weber, 2009). As the movie continues, however, it becomes increasingly challenging to believe this warning. Tom sees Summer Finn, falls in love, and their relationship ends with him broken-hearted. It is only natural for the audience to view it as a story of Tom’s failed love, and without a deeper analysis, to perceive Summer as the antagonist. <br/> This tendency to view the movie as a love story motivated me to question why the discrepancy between the beginning narration and the common audience perception occurs. My thesis addresses this discrepancy by focusing on the idea that the natural gravitation towards the belief that 500 Days of Summer is a love story exists due to the unreliable narration given by Tom Hansen throughout the movie. I wrote three songs, an interlude, a duet, and a solo, based on the themes and lead characters of the movie to help validate the warning provided in the beginning and provide a deeper insight into Summer’s version of the story.
For my project, I delve into the relationships of Victor and the Monster as well as the relationships Victor shares with other characters that were underdeveloped within the original novel by Mary Shelley in the novel Franeknstein. I examine their relationships in two components. The first through my own interpretation of Victor and the Monster’s relationship within a creative writing piece that extends the novel as if Victor had lived rather than died in the arctic in order to explore the possibilities of a more complex set of relationships between Victor and the Monster than simply creator-creation. My writing focuses on the development of their relationship once all they have left is each other. The second part of my project focuses on an analytical component. I analyze and cite the reasoning for my creative take on Victor and the Monster as well as their relationship within the novel and Mary Shelley’s intentions.
High-entropy alloys possessing mechanical, chemical, and electrical properties that far exceed those of conventional alloys have the potential to make a significant impact on many areas of engineering. Identifying element combinations and configurations to form these alloys, however, is a difficult, time-consuming, computationally intensive task. Machine learning has revolutionized many different fields due to its ability to generalize well to different problems and produce computationally efficient, accurate predictions regarding the system of interest. In this thesis, we demonstrate the effectiveness of machine learning models applied to toy cases representative of simplified physics that are relevant to high-entropy alloy simulation. We show these models are effective at learning nonlinear dynamics for single and multi-particle cases and that more work is needed to accurately represent complex cases in which the system dynamics are chaotic. This thesis serves as a demonstration of the potential benefits of machine learning applied to high-entropy alloy simulations to generate fast, accurate predictions of nonlinear dynamics.
This creative project is a short story in the Gothic genre followed by an explanation of certain literary elements and decisions. The Gothic genre often explores supernatural and uncomfortable topics that can challenge the reader’s perception and understanding of the world. Through this means of storytelling, authors are given the opportunity to connect the supernatural with complex and sensitive topics that may be difficult or even taboo to speak about in certain locations and time periods. In this thesis, I embrace the traditions of the Gothic-genre with a story that focuses on the issues prevalent today. The years 2020 and 2021 have been unprecedented times for humanity. Technology continues to grow at an alarming rate, suicide rates of young people have been on the rise for years, and a global pandemic has people adapting to all new ways of living. During these ever changing times, it is the Gothic that may provide guidance through these uncertainties by shedding light on the problems that will plague humanity both today and tomorrow. The story follows an outcast from society who aids in the creation of a divine monster, and the consequences that follow.
The goal of this experiment was to examine the energy absorption properties of origami-inspired honeycomb and standard honeycomb structures. These structures were 3D printed with two different materials: thermoplastic polyurethane (TPU) and acrylonitrile butadiene styrene (ABS). Quasi-static compression testing was performed on these structures for both types and materials at various wall thicknesses. The energy absorption and other material properties were analyzed for each structure. Overall, the results indicate that origami-inspired structures perform best at energy absorption at a higher wall thickness with a rigid material. The results also indicated that standard honeycomb structures perform better with lower wall thickness, and also perform better with a rigid, rather than a flexible material. Additionally, it was observed that a flexible material, like TPU, better demonstrates the folding and recovery properties of origami-inspired structures. The results of this experiment have applications wherever honeycomb structures are used, mostly on aircraft and spacecraft. In vehicles with structures of a sufficiently high wall thickness with a rigid material, origami-inspired honeycomb structures could be used instead of current honeycomb structures in order to better protect the passengers or payload through improved energy absorption.