Semiconductors
Semiconductors, and especially Si, are the basic building block of the transistor and all the processing power that comes with its implementation. Commercial finite element TCAD (Technology computer aided design) software is used from different vendors (Silvaco, Synopsys) to simulate the fabrication and electrical characteristics of individual transistors. Higher up the hierarchy, Electronic CAD shows the behaviour of circuits consisting of millions (billions) of nominal identical transistors with quantisation related parameter fluctuation. On a more fundamental level, density functional theory is used to calculate the intrinisc properties of Si and e.g. its properties undre passivation by hydrogen.
For queries about this topic, contact Kees de Groot.
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Projects
Centre for Doctoral Training in Next Generation Computational Modelling
Hans Fangohr, Ian Hawke, Peter Horak (Investigators), Susanne Ufermann Fangohr, Thorsten Wittemeier, Kieran Selvon, Alvaro Perez-Diaz, David Lusher, Ashley Setter, Emanuele Zappia, Hossam Ragheb, Ryan Pepper, Stephen Gow, Jan Kamenik, Paul Chambers, Robert Entwistle, Rory Brown, Joshua Greenhalgh, James Harrison, Jonathon Waters, Ioannis Begleris, Craig Rafter
The £10million Centre for Doctoral Training was launched in November 2013 and is jointly funded by EPSRC, the University of Southampton, and its partners.
The NGCM brings together world-class simulation modelling research activities from across the University of Southampton and hosts a 4-year doctoral training programme that is the first of its kind in the UK.
Continuously Tunable Optical Buffer
Peter Horak (Investigator)
The project aims to design, fabricate and test a novel integrated all-optical buffer device that is based on MEMS technology and provides a continuously tunable delay for optical pulses over a broad wavelength region. Such a device could play a crucial role in future packet-switched optical networks, photonic integrated circuits and coherent light based applications such as optically steered phase array antennas, LIDAR and optical coherence tomography.
This EPSRC funded project is a collaboration between the Optoelectronics Research Centre, Southampton, and University College London.
Development of wide-ranging functionality in ONETEP
Chris-Kriton Skylaris (Investigator), Jacek Dziedzic
ONETEP is at the cutting edge of developments in first principles calculations. However, while the fundamental difficulties of performing accurate first-principles calculations with linear-scaling cost have been solved, only a small core of functionality is currently available in ONETEP which prevents its wide application. In this collaborative project between three Universities, the original developers of ONETEP will lead an ambitious workplan whereby the functionality of the code will be rapidly and significantly enriched.
Investigation into the Interfacial Physics of Field Effect Biosensors
Nicolas Green, Chris-Kriton Skylaris (Investigators), Benjamin Lowe
This interdisciplinary research aims to improve understanding of Field Effect Transistor Biosensors (Bio-FETs) and to work towards a multiscale model which can be used to better understand and predict device response.
Modelling the Combined Effects of Total Ionizing Dose and Random Dopant Fluctuations in sub-100 nm gate-length Transistors
Kees de Groot (Investigator), Eleni Chatzikyriakou
The radiation hardness of state-of-the-art silicon-on-insulator transistors of gate length dimensions of 90 nm and beyond is investigated. The combined effects of oxide charges and random fluctuations of the dopant atoms in silicon are considered. It is demonstrated that a parasitic channel forms at the interface of buried oxide and shallow trench isolation regions of the device and that this effect is aggravated by random dopant fluctuations.
nano-CMOS
Mark Zwolinski (Investigator), Michael Merrett
Modelling random device variations within systems using nano-CMOS technologies.
On the applicability of nonlinear timeseries methods for partial discharge analysis
Paul Lewin (Investigator), Lyuboslav Petrov
The governing processes of Partial Discharge (PD)
phenomena trigger aperiodic chains of events resulting in ’ap-
parently’ stochastic data, for which the widely adopted analysis
methodology is of statistical nature. However, it can be shown,
that nonlinear analysis methods can prove more adequate in
detecting certain trends and patterns in complex PD timeseries.
In this work, the application of nonlinear invariants and phase
space methods for PD analysis are discussed and potential pitfalls
are identified. Unsupervised statistical inference techniques based
on the use of surrogate data sets are proposed and employed for
the purpose of testing the applicability of nonlinear algorithms
and methods. The Generalized Hurst Exponent and Lempel Ziv
Complexity are used for finding the location of the system under
test on the spectrum between determinism and stochasticity. The
algorithms are found to have strong classification abilities at
discerning between surrogates and original point series, giving
motivation for further investigations.
Optical Characterisation of Black Silicon for Photovoltaics Using the Finite Element Method
Jack Tyson (Investigator)
Here we present a novel method of simulating the reflectance spectra of black silicon solar cells using the finite element method. Designed in COMSOL Multiphysics is a new set of algorithm-controlled-geometries rendering a vast array of different structural permutations of silicon nanowires. Our model focused on the variation of this geometry within customisable predefined conditions in large output quantities, collated and averaged to reliably determine the reflectance of an entire black silicon solar cell.
The ONETEP project
Chris-Kriton Skylaris (Investigator), Stephen Fox, Chris Pittock, Álvaro Ruiz-Serrano, Jacek Dziedzic
Program for large-scale quantum mechanical simulations of matter from first principles quantum mechanics. Based on theory and algorithms we have developed for linear-scaling density functional theory calculations on parallel computers.
Today's Computation Enabling Tomorrow's Seamless Communication
Lajos Hanzo (Investigator), Varghese Thomas
Radio Over Fibre (ROF) is a communication technique that aims to gainfully amalgamate the benefits of optical and wireless communication, while keeping the system cost low. This technique would support the next generation of wireless services.
People
Professor, Chemistry (FNES)
Professor, Electronics and Computer Science (FPAS)
Professor, Engineering Sciences (FEE)
Professor, Electronics and Computer Science (FPAS)
Professor, Electronics and Computer Science (FPAS)
Professor, Electronics and Computer Science (FPAS)
Reader, Electronics and Computer Science (FPAS)
Reader, Optoelectronics Research Centre
Lecturer, Mathematics (FSHS)
Lecturer, Chemistry (FNES)
Senior Research Fellow, Optoelectronics Research Centre
Research Fellow, Chemistry (FNES)
Research Fellow, Engineering Sciences (FEE)
Research Fellow, Chemistry (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Chemistry (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Chemistry (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Chemistry (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Administrative Staff, Research and Innovation Services
Administrative Staff, Civil Engineering & the Environment (FEE)
Alumnus, University of Southampton
Alumnus, University of Southampton
None, None
None, None