• The role that choice of model plays in predictions for epilepsy surgery 

  Junges, L; Lopes, MA; Terry, JR; et al. (Nature Research, 14 May 2019)

  Mathematical modelling has been widely used to predict the effects of perturbations to brain networks. An important example is epilepsy surgery, where the perturbation in question is the removal of brain tissue in order ...

• Energy efficient global optimisation of reactive dividing wall distillation column 

  Kaur, J; Chugh, T; Sangal, VK (Taylor & Francis / Anamaya Publishers, 10 June 2019)

  An optimisation problem to minimise energy requirements in the synthesis of bio-additive ethyl tertiary butyl ether (ETBE) via reactive dividing wall distillation column (RDWC) is considered. The contribution of the article ...

• Marginal stability of the convective boundary layer 

  Thuburn, J; Efstathiou, G (American Meteorological Society, 2019)

  We hypothesize that the convective atmospheric boundary layer is marginally stable when the damping effects of turbulence are taken into account. If the effects of turbulence are modeled as an eddy viscosity and diffusivity ...

• Derivation of Delay Equation Climate Models Using the Mori-Zwanzig Formalism 

  Falkena, SKJ; Quinn, C; Sieber, J; et al. (Royal Society, 2019)

  Models incorporating delay have been frequently used to understand climate variability phenomena, but often the delay is introduced through an ad-hoc physical reasoning, such as the propagation time of waves. In this paper, ...

• Reducing the complexity of mathematical models for the plant circadian clock by distributed delays 

  Tokuda, IT; Akman, OE; Locke, JCW (Elsevier, 12 December 2018)

  A major bottleneck in the modelling of biological networks is the parameter explosion problem – the exponential increase in the number of parameters that need to be optimised to data as the size of the model increases. ...

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