Computational Modelling Group

Pylab

Matplotlib (also known as Pylab) is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (not too dissimilar from matlab or mathematica), web application servers, and six graphical user interface toolkits.

Matplotlib tries to make easy things easy and hard things possible. It can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. For a sampling, see the screenshots, thumbnail gallery with source code, and examples directory. (More from Matplotlib home page.)

The image has been produced using this code

For queries about this topic, contact Hans Fangohr.

View the calendar of events relating to this topic.

Projects

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Ab initio simulations of chemical reactions on platinum nanoparticles

Chris-Kriton Skylaris (Investigator), Alvaro Ruiz-Serrano, Peter Cherry

•Use first principles calculations to study the relationship between shape and size of nanoparticle and the oxygen adsorption energy.

• Investigate the effect of high oxygen coverage on the catalytic activity of the nanoparticles.

Multiscale Simulation of Cellular Calcium Signalling

Hans Fangohr, Jonathan Essex (Investigators), Dan Mason

Calcium ions play a vitally important role in signal transduction and are key to many cellular processes including muscle contraction and cell apoptosis (cell death). This importance has made calcium an active area in biomedical science and mathematical modelling.

Scalability of Energy Efficient Routing Algorithms in WSN

Davide Zilli

This project compares two broad classes of routing algorithms for Wireless Sensor Networks, message flooding and single path, by means of a simulation model. In particular, we want to understand how the two scale in terms of energy efficiency on large networks of sensors.

Wave-based discontinuous Galerkin methods

Gwenael Gabard (Investigator), Greg Kennedy

Wave-based computational methods are developed to model sound propagation in moving inhomogeneous media.

People

Jonathan Essex
Professor, Chemistry (FNES)
Hans Fangohr
Professor, Engineering Sciences (FEE)
Richard Edwards
Senior Lecturer, Biological Sciences (FNES)
Gwenael Gabard
Lecturer, Institute of Sound & Vibration Research (FEE)
Ivan Markovsky
Lecturer, Electronics and Computer Science (FPAS)
Chris-Kriton Skylaris
Lecturer, Chemistry (FNES)
Nicolas Palopoli
Research Fellow, Biological Sciences (FNES)
Jordi Arranz
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Ashley Booth
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Peter Cherry
Postgraduate Research Student, Chemistry (FNES)
Joshua Jeeson Daniel
Postgraduate Research Student, Engineering Sciences (FEE)
Leo Jofeh
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Kondwani Kanjere
Postgraduate Research Student, Engineering Sciences (FEE)
Greg Kennedy
Postgraduate Research Student, Institute of Sound & Vibration Research (FEE)
Andreas Loengarov
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Dan Mason
Postgraduate Research Student, Chemistry (FNES)
Alkin Nasuf
Postgraduate Research Student, Engineering Sciences (FEE)
Alvaro Ruiz-Serrano
Postgraduate Research Student, Chemistry (FNES)
Samuel Sinayoko
Postgraduate Research Student, Institute of Sound & Vibration Research (FEE)
Matthew Spraggs
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Johannes Van Der Horst
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Robin Wilson
Postgraduate Research Student, Geography (FSHS)
Davide Zilli
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Petrina Butler
Administrative Staff, Research and Innovation Services