UROP Research Mentor Project Submission Portal: Submission #1338
Submission information
Submission Number: 1338
Submission ID: 21286
Submission UUID: 769d856c-59a0-457f-b6ae-1e03b0b82b59
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=lOPXzc912LYv0_PEKopo5ZQtDausi9T088zLajph5M4
Created: Fri, 08/22/2025 - 10:21 PM
Completed: Fri, 08/22/2025 - 10:30 PM
Changed: Mon, 08/25/2025 - 11:08 AM
Remote IP address: 73.42.27.215
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Research Mentor Information
Christopher Holmes
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Prof.
Faculty
Arts and Sciences
Earth, Ocean and Atmospheric Science
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Additional Research Mentor(s)
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Overall Project Details
Reaction rates of atmospheric pollutants: computational methods for atmospheric chemistry
environmental science, chemistry, pollution
Yes
1
Chemistry, Physics, Computer science, Environmental Science, Meteorology
On FSU Main Campus
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Partially Remote
5
Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Chemical reaction rates control the lifetime and distribution of many pollutants and trace gases in the atmosphere. For many emerging pollutants and volatile organic compounds involved in ozone production and aerosol production, these reaction rates have not (yet) been measured in a laboratory. Instead, reaction rates are predicted from structure-activity relationships (SAR). This project will generate data to test a new SAR for atmospheric oxidation and compare it to existing SARs. The research student will use Windows and Linux computer programs to predict reaction rates and bond enthalpies, compile a spreadsheet comparing reaction rates with new and old methods, and use statistical tests (regression, t-test, ANOVA) to compare the two methods.
literature review of chemical datasets, programming in Linux and Python, statistical data analysis
Python or Linux experience desired, chemistry coursework (familiarity with enthalpy, Arrhenius equation), basic statistics (e.g. regression, t-test, ANOVA)
The student involved in this project will work semi-independently with frequent guidance and support from the mentor and other group members. An organized approach to recordkeeping is also essential.
https://acgc.eoas.fsu.edu
I am available for individual meetings with students interested in working on this project. Please contact me by email. Include a description of your experience or skills relevant to this project in the email.
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UROP Program Elements
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2025
https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=lOPXzc912LYv0_PEKopo5ZQtDausi9T088zLajph5M4