Calculation of optical and electronic properties of semiconductors
Semiconductor device modelling
Simulation of blood clotting
Colloidal quantum dots
ESPRC’s (Engineering and Physical Sciences Research Council) International Collaboration Sabbatical award
Collaboration opportunity with Professor Anne Carpenter of the Broad Institute of MIT and Harvard, Amnis Corporation, Cancer Research UK and the Centre for Nanohealth in Swansea.
This new initiative aims to foster long-term international collaboration between leading UK researchers and their international peers and break down some of the barriers to extended international collaboration. The programme allows UK-based researchers to undertake visits to overseas centres of excellence for between 6-12 months, built around a high quality research agenda. Current international collaboration has revolved around short-term projects, conferences etc and it was felt that longer-term higher-profile collaboration would be more beneficial.
This module offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems students see how statistics fits within the methods of engineering problem solving and learn how to apply statistical methodologies to their field of study. The module teaches students how to think like an engineer when analysing real data. Mini projects, tailored to each engineering discipline, are intended to simulate problems that students will encounter professionally during their future careers. Emphasis is placed on the use of statistical software for tackling engineering problems that require the use of statistics.
Students will carry out a medical engineering design project in groups of up to 4 people.
¿ Quantum mechanics ¿ Bohr model of the atom, Schrodinger equation, energy eigenvalues and wave functions of the hydrogen atom. ¿ Application of quantum mechanics to nano-scale semiconductor structures ¿ Semiconductor band structure, effective mass approximation, quantum wells, wires and dots, density of states for electrons, quantum devices. ¿ Molecular modelling ¿ Basic atomic forces and bonding, small molecule models, proteins, molecular modelling packages. ¿ Transport of particles ¿ Electron transport; diffusion and conduction, nano-fluidics, rate equations and Monte Carlo simulations.