In my research, I strive to apply cutting-edge algorithm development to outstanding science and technology challenges, with emphasis on predicting new materials and understanding organic/inorganic interfaces for advances in solar energy, thermoelectrics, sensing, and synthesis.  My approach does not necessarily rely on a single method to solve a given problem nor do I favor one computational approach over another; rather, I believe in using the best method(s) available and those most suited to tackle the challenge at hand.  My vision for a successful research program includes a strong emphasis on a multidisciplinary approach in order to expand the scientific possibilities beyond any one discipline or field, including (1) structuring regular interactions between my group and other theoretical and experimental research groups (faculty and students) from chemistry, physics, materials science, computer science, mechanical engineering, and electrical engineering departments, (2) encouraging and facilitating my group members to promote collaborations with experimental colleagues with whom they share science interests, and (3) creating diversity in my group by taking students and postdocs in overlapping but diverse backgrounds in order to maximize our “working phase space.” I believe that this approach also allows students in my group to gain exposure to a broad intersection of computational nanoscience.

MOT Course(s):

• THE BUSINESS OF NANOTECHNOLOGY

Computational Nanoscience Faculty Page