Dr. Peter Graf's research with NREL's Computational Science Center is primarily focused on bringing state-of-the-art applied mathematics to bear on computational problems involving renewable energy. In particular, he has helped develop the methodology and a suite of software tools to apply advanced computing and optimization techniques to problems of material design. He also developed a highly modular drift-diffusion-device simulation tool for organic photovoltaics research. Current research focuses are (1) optimization of electronic structure of alloys and nanostructures, and (2) multi-scale device simulation and optimization in organic photovoltaics.
Dr. Graf graduated Phi Beta Kappa, with distinction, from Stanford University in 1989. After years as a C/C++ programmer, he entered graduate school and in 2003 received his Ph.D. in Mathematics from the University of California at Berkeley. His thesis involved optimization of model reduction for systems of ordinary differential equations, under advisor Alexandre Chorin.
Ph.D., mathematics, University of California at Berkeley
B.S., symbolic systems (a combination of Philosophy, Psychology, Computer Science, and Linguistics), Stanford University.