This image shows the valence and conduction bands in the phase transition from topological insulator to conventional insulator with increasing tensile strain.
Euclid Mission to Explore Dark Energy
Euclid is an ESA mission to map the geometry of the dark Universe. The mission will investigate the distance-redshift relationship and the evolution of cosmic structures. Penn researchers are part of the Euclid science team.
Functional Imaging in the Brain
A representation of blood flow changes in a rat brain during cortical spreading depression. In the experiment, a large local concentration of KCl initiates a 'wave' of neuronal depolarization that propagates outward from a central point and then repeats itself. The figure shows images of blood flow in four parallel planes located within 3 millimeters of the skull.
Large Hadron Collider - ATLAS Higgs candidate event
An event captured by the ATLAS detector in the search for a Higgs boson decaying into two Z bosons, one of which goes into a pair of electrons and two muons (the two tracks shown in red). There is no way to tell if this particular event comes from a Higgs decay or simply from a background event such as one containing two Z bosons.
The Epoch of Reionization
Astrophysicists are interested in tracing the development of large scale structure during the so-called Epoch of Reionization - the period in the history of the universe in which the first luminous sources turn on and ionize neutral hydrogen in their vicinity. Prof. Adam Lidz studies the theory of how to detect and gain information from radition emitted during this period.
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.