Campbell Sweet
Cohort 2024 · Chemical Engineering
Trainee Director
My research focus is on the accelerated discovery of oMLD precursors for energy storage applications. I employ machine-learned property predictors and lean automated/autonomous characterization and data analysis procedures to rapidly search for vapor processible organic precursors to lithium-ion battery cathode and protective coating materials.
Advisor · Matthias Young
oMLDEnergy StorageMaterials DiscoveryAutomated/Autonomous Materials Characterization
My name is Campbell, and I'm a member of the first-year cohort of Mizzou's NRT for advancing materials frontiers through creativity and data science. When I'm not thinking about batteries, machine learning, and data, I like to run, bake, and hang out with my cats. I also like to crochet, but I stick to making things that are rectangular.
Publications
- Data Fusion and Contrastive Alignment for Unconstrained IR Molecular Structure Elucidation (2026) · arXiv (Cornell University)
- Enabling Oxidative Molecular Layer Deposition on Reactive Battery Substrates (2025) · ECS Meeting Abstracts
Leadership history
- Trainee Director · 2026–present