Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Jump to: 2016 | 2015 | 2014
Number of items: 3.

2016

Costa, J L L F S and Simionesie, D and Zhang, Z J and Mulheran, P A (2016) Aggregation of model asphaltenes – a molecular dynamics study. Journal of Physics: Condensed Matter. ISSN 0953-8984 (In Press)

2015

Wei, Guoke and Simionesie, Dorin and Sefcik, Jan and Sutter, Jens U. and Xue, Qingjiang and Yu, Jun and Wang, Jinliang and Birch, David J.S. and Chen, Yu (2015) Revealing the photophysics of gold-nanobeacons via time-resolved fluorescence spectroscopy. Optics Letters, 40 (24). 5738–5741. ISSN 0146-9592

2014

Zhang, Zhenyu J. and Simionesie, Dorin and Schaschke, Carl (2014) Graphite and hybrid nanomaterials as lubricant additives. Lubricants, 2 (2). pp. 44-65. ISSN 2075-4442

This list was generated on Mon Jul 13 23:05:21 2020 BST.