|
Computational studies of
nanoparticles as fuel cell catalysts
Dr. Lichang Wang
One of the obstacles in
the fuel cell application is the kinetic limitation of oxygen reduction
at the cathode at low temperatures. A major goal of this research
project is to provide a fundamental understanding of the catalytic
activity of transition metal nanomaterials on the oxygen reduction at
an atomic and molecular level. For instance, between the two
nanoparticles illustrated below, the pure Pt cluster (left) is not as
active as the Pt/Au bimetallic cluster (right) in the oxygen reduction.
Our research aims to provide understanding on the difference in their
catalytic activity and to further predict even better catalytic
candidates.
REU students will perform calculations using super
computers to explore the size and structure effects on the oxygen
reduction. Through the research activities, students will learn how to
use the most common computational tools in both the academic and
industrial worlds. The research project will also help students to
understand better the abstract concepts that we often encounter in
learning chemistry by “seeing how the atoms and molecules
move”. Furthermore, students will gain experience on using
supercomputers and state-of-the art
software.
|