Andrew G. Green

Prof Green is interested in the equilibrium and out-of-equilibrium strongly correlated quantum systems. This encompasses fundamental properties of natural and manufactured materials, the effort to harness quantum mechanics for information processing, and the overlap of the latter with machine learning. He uses a range of tools, including analytical and numerical techniques drawn from quantum field theory and tensor networks.  

Complementary metal oxide semiconductor technology using paper Complementary metal oxide semiconductor (CMOS) circuit based on n-t
Researchers from the London Centre for Nanotechnology at Imperial College report the magnetic field detection properties.
Organic and polymer light-emitting diodes (LEDs) have received much attention in recent years for application in displays and ligh
Absorption of electromagnetic radiation in a quantum system of nuclei and electrons results in an instantaneous rearrangement of t
The amorphous oxide semiconductor thin film transistor (TFT) is a highly promising candidate for large area displays in terms of i
We are familiar with polymer materials in all aspects of our everyday lives - but in future, polymers are set to be important mate
A group of researchers in the Department of Electronic and Electrical Engineering at UCL and the London Centre for Nanotechnology

Sanjiv Sharma

Research in the group falls broadly into the area of bioanalysis with a particular focus in the following areas:Biosensors: We are producing sensors based on both optical and electrochemical signal transduction schemes for applications in personal healthcare, bioreactor monitoring and clinical diagnostics. These biosensors often exploit engineered proteins.Protein Engineering: Although proteins have been widely used in bioanalysis many of their properties are not optimally suited to this application.

Arash Mostofi

Materials lie at the heart of almost every modern technology and our research is dedicated to the application and development of theory and computational simulation tools for solving problems in materials. We develop and use methods at a wide range of length and time-scales, combining analytical theory, quantum mechanical first-principles simulations of interacting electrons and nuclei, atomistic simulations that use simpler models of interatomic bonding, coarse-grained molecular dynamics and Monte Carlo techniques.