Marissa Buck

Marissa Buck
Mentor: Dr. Juan Nino
College of Engineering
 
"Research allows for a deeper understanding of class material and increased practical knowledge. Not only can you learn about interesting topics, but you can also explore new ideas and discover something unique that can potentially impact society."

Major

Chemical Engineering

Minor

N/A

Research Interests

  • Photovoltaics
  • Renewable Energy
  • Process Systems Engineering

Academic Awards

  • University Scholar
  • Research Experience in Materials Scholarship
  • President's Honor Roll/Dean's List
  • National Society of Collegiate Scholars

Organizations

  • American Institute of Chemical Engineers
  • Freshman Leadership Engineering Group
  • Society of Women Engineers

Volunteer

  • Alachua Habitat for Humanity Women Build
  • Relay for Life
  • Dance Marathon

Hobbies and Interests

  • Dance
  • Community Service
  • Travel
  • Drawing/Painiting

Research Description

Tunable Perovskite Semiconductors for Use in Photovoltaic Cells
Photovoltaic cells, also known as solar cells, are on the forefront of renewable energy technology. The discovery of perovskite semiconductors for dye replacement in dye-sensitized solar cells began the rapid growth of perovskite research for thin-film photovoltaic purposes. Despite many innovations, the efficiency is still too low for profitable production. Two of the major drawbacks to the more efficient method, organic-inorganic methylammonium lead halide perovskites, are the use of lead in the perovskite layer and its long-term instability. The potential toxicity of lead rises environmental concerns because perovskites are water soluble and may expose lead through a leaky module. The goal of our research is to determine what properties contribute to lead’s large absorption coefficient and high charge carrier mobility in order to replace it in photovoltaic cells. This begins with testing single crystal lead iodide for the optimal orientation, and modeling tunable perovskite semiconductors for potential experimentation. This data may not provide record efficiency, but could eliminate the environmental concern and allow for future advancements.