The solar energy hitting Earth’s surface in one hour is powerful enough to fuel the global energy grid for an entire year. The problem, however, lies in our limited ability to capture and harvest this energy.
Photochemists like Alexandra Barth, a Florida State University Department of Chemistry and Biochemistry alumna, push past such scientific barriers by designing brand-new molecules that can efficiently harness light energy, leading to enhancements in fuels, industrial feedstocks and even medicine.
“When I mention my job, people often reminisce about how difficult they found chemistry courses,” Barth said. “Even without a technical background, people can understand that laser-based instruments are captivating and powerful. These tools, which allow me to understand chemical events occurring faster than I can blink, unlock new means of energy harvesting.”
As a postdoctoral researcher at North Carolina State University, Barth combines ultrafast spectroscopy — a technique that leverages lasers to measure and characterize molecules — with molecular design, or the intentional creation of new molecules. This approach seeks to identify ways scientists may have synthetic control over molecular properties, such as light-reactive charge localization, that are critical for discovering the next generation of energy materials.
“Chemists have recently recognized the power and potential of harnessing light energy for selective, unprecedented transformations,” Barth said. “Examples of these advancements include carbon dioxide reduction by turning greenhouse gas emissions into small-molecule fuels and creating more effective medicines through targeting bond construction to access complex molecules.”
Barth’s research also has applications in spintronics, or spin electronics — an emerging physics field that can increase processing capabilities while keeping the size of electronic devices small. Her graduate research explored ways to keep electrons in a polarized state for extended periods of time to create spin memory, a key component for efficient data storage in computers.