Sofia Izmailov ’11



Project Title

Design and Discovery of Optimal Molecular Scale Solar Antennas

Presentation Link

View Sofia's Presentation

The optimization of solar collectors can be approached through computational methods for molecular property prediction. The ability to predict the properties of a molecule such as a solar collector decreases the amount synthesis and testing of molecules required to find those with the desired properties. Property prediction help determine which molecules are more likely to have the desired properties or be “active” and these can then be synthesized and tested. My internship focused on developing a method for property prediction which uses a training set of laboratory data to create a map and uses an input of reaction conditions to predict reaction yield.

Internship Year


Project Category

Climate and Energy


Herschel Rabitz, Charles Phelps Smyth ‘16 *17 Professor of Chemistry