Our research program is currently getting started, stay tuned as we get things going!
The sun is constantly showering our planet with free energy, and this will play an increasingly important role in meeting the world's demands as we transition toward a more diverse energy economy. The task of determining which class of materials possesses the optimal set of solar-harvesting properties is one that must be given priority, and that falls squarely into the realm of chemistry. Using a combination of pen-and-paper and powerful computers, we are looking for ways to make solar cells efficient enough to be competitive with more traditional sources of energy.
Materials technology permeates every aspect of our lives. From textiles to roadways to satellites, the materials we employ derive their performance from fundamental molecular properties. To maintain innovation in the design of new materials we must be able to connect these properties to the required functionality. To this end, we are using artificial intelligence (machine learning) to isolate which molecular properties most effectively map onto a material's performance.
The technology of the future will require materials that enable ever faster and complex methods of processing information with molecular level precision, including spin. Underlying this effort will be the ability to coherently manipulate and control the outcome of chemical transformations. Plasmons (collective electron oscillations) offer both the precise selectivity and inexhaustible tunability that will make this possible.