Schematic of a carbon nanotube FET sensor functionalized with an antibody to a Lyme disease biomarker protein. The insulating substrate is shown in pink. When antigen molecules bind to the antibody, the electrical characteristics of the FET are altered.
From the lab of Prof. Charlie Johnson.
Majorana Fermions, Topological Insulators and Superconductors
Magnetic diffraction pattern for a Josephson junction with a topological insulator weak link. Building on a theoretical description published in 2008 by Prof. Charles Kane and Liang Fu at Penn, Stanford researchers believe the unusual behavior is explained in terms of Majorana fermions.
MUSTANG - a Penn Radio Telescope Array
Penn,the National Institute of Standards and Technology, NASA's Goddard Space Flight Center, and the National Radio Astronomy Observatory, have built a 3 millimeter array of 8x8 TES detectors for the Green Bank Telescope (GBT).
Excitons are electrically neutral excited states of a material consisting of a bound state of an electron and a hole. Prof. Jay Kikkawa explores previously unseen "dark exciton" states in carbon nanotubes and shows their dependence on geometry of the nanotube.
DNA-Carbon Nanotube Hybrid
Single-stranded DNA and carbon nanotubes are chemically compatible and readily self-assemble into DNA-carbon nanotube hybrids (pictured here). These materials have applications in nanoelectronics, medicine, environmental safety and homeland security. Dr. Robert R. Johnson of the University of Pennsylvania has used computer simulation to study the structure of these nanomaterials.
Katifori and Postdoctoral Fellow Henrik Ronellenfitsch, collaborate to develop
a new model to understand how the growth of the embedding tissue
influences the development of the network it contains. The model predicts that
as the tissue grows, a hierarchal network develops in stages that resemble the
ones found in the human body as well as in plant leaves. The evolved network is
close to a global optimum for transport efficiency showcasing that nature can
find the best solution to a complicated problem using only simple rules.