Recent high school graduate Rohan Datta published his Georgia Tech research in the Journal of Chemical Physics
Undergraduate engineering students interested in research typically enroll at Georgia Tech with an eye on joining a lab within its eight schools. Their long-term goal is to write and submit a study, hoping for an eventual publication in a peer-reviewed journal.
Rohan Datta, however, reversed the usual timeline. The 18-year-old recently graduated from The Galloway School in Atlanta. By the time he attends his first classes on campus this fall as a Stamps Scholar, Datta will already have a published paper on his resume.
With guidance from and collaboration with both a professor and an alumna of the School of Materials Science and Engineering (MSE), Datta is the first author on a recently published study in the Journal of Chemical Physics. In the paper, “Conductivity prediction model for ionic liquids using machine learning,” Datta describes his construction of a deep neural network capable of making rapid and accurate predictions of the conductivity of ionic liquids.
Datta’s publication marks a fitting conclusion to high school while serving as the next phase of his Georgia Tech experience.