Rohan Datta publishes paper as incoming freshman
Rohan Datta, the 18-year old who recently graduated from The Galloway School in Atlanta, has become the first author of a published paper as an incoming freshman at Georgia Tech—a feat that undergraduate engineering students interested in research aim for during their time at the college. Datta is the first author of 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 worked under the guidance of Rampi Ramprasad, a professor at the School of Materials Science and Engineering (MSE) and the Michael E. Tennenbaum Family Chair and Georgia Research Alliance Eminent Scholar, who paired Datta with Shruti Venkatram, a PhD student.
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