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.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Article

Trager-Cowan, Carol and Alasmari, Aeshah and Avis, William and Bruckbauer, Jochen and Edwards, Paul R and Ferenczi, Gergely and Hourahine, Benjamin and Kotzai, Almpes and Kraeusel, Simon and Kusch, Gunnar and Martin, Robert W and McDermott, Ryan and Gunasekar, Naresh and Nouf-Allehiani, M. and Pascal, Elena and Thomson, David and Vespucci, Stefano and Smith, Matthew David and Parbrook, Peter J and Enslin, Johannes and Mehnke, Frank and Kuhn, Christian and Wernicke, Tim and Kneissl, Michael and Hagedorn, Sylvia and Knauer, Arne and Walde, Sebastian and Weyers, Markus and Coulon, Pierre-Marie and Shields, Philip and Bai, J. and Gong, Y. and Jiu, Ling and Zhang, Y. and Smith, Richard and Wang, Tao and Winkelmann, Aimo (2020) Structural and luminescence imaging and characterisation of semiconductors in the scanning electron microscope. Semiconductor Science and Technology, 35 (5). 054001. ISSN 0268-1242

Coda, S. and Agostini, M. and Gahle, D.S. and McDermott, R. (2019) Physics research on the TCV tokamak facility : From conventional to alternative scenarios and beyond. Nuclear Fusion, 59 (11). 112023. ISSN 0029-5515

This list was generated on Mon Jul 13 00:12:51 2020 BST.