Underwater Electric Arc Synthesis of Ammonia and Machine Learning Guidance for Synthesis of Antimicrobial Aminocyanines

Simple item page
dc.contributor.advisorTour, James Men_US
dc.creatorLathem, Alex Eanen_US
dc.date.accessioned2025-01-17T17:20:41Zen_US
dc.date.available2025-01-17T17:20:41Zen_US
dc.date.created2024-12en_US
dc.date.issued2024-12-06en_US
dc.date.submittedDecember 2024en_US
dc.date.updated2025-01-17T17:20:41Zen_US
dc.description.abstractIncreasing demand for ammonia is expected in future years due to its potential as an electrochemical fuel and continued use in growing food for billions of people. Meanwhile, there is a growing need for novel antibiotics in the face of antimicrobial resistance worldwide. In this thesis, novel synthesis methods to address both challenges are explored. First, a novel method of ammonia synthesis is demonstrated using a nitrogen stream running through an underwater electric arc. Variation in ammonia yield is shown for a wide array of parameters, including electrode material and geometric configuration. Yield and energy efficiency are compared to other prominent bench-scale ammonia synthesis techniques in the literature. Second, machine learning analysis is conducted on a dataset of cyanine-derived molecules and their inhibition of bacterial growth. The most performant model is blind-tested against additional data, and then promising candidate molecules are offered for future synthesis and testing.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.urihttps://hdl.handle.net/1911/118227en_US
dc.language.isoenen_US
dc.subjectsynthesisen_US
dc.subjectantibioticsen_US
dc.subjectammoniaen_US
dc.subjectelectric arcen_US
dc.subjectmachine learningen_US
dc.titleUnderwater Electric Arc Synthesis of Ammonia and Machine Learning Guidance for Synthesis of Antimicrobial Aminocyaninesen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentApplied Physicsen_US
thesis.degree.disciplineApplied Physics/Chemistry, Applied Physics/Chemistryen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
LATHEM-DOCUMENT-2024.pdf
Size:
19.71 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
5.84 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
LICENSE.txt
Size:
2.98 KB
Format:
Plain Text
Description:
Download
Collections
Rice University Theses and Dissertations