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, Dr SP Wilson Application Deadline: Applications accepted all year round Details Efficient coding models can successfully explain the emergence of different features detectors along the visual pathway
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of nonlinear systems. These methods will identify unstable states, design stabilizing or optimal controllers and compute invariant sets. There is scope here to combine traditional model-based methods with new
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/battery systems for distributed power generation. The balance of economics and performance of the system will be the main objective of the research. Computer modeling techniques will be employed in order to
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will then focus on the chemical kinetic behaviour of alkali salts at oxyfuel conditions using kinetic modelling techniques such as chemkin. Finally the project will couple chemical kinetic models
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we intend to understand what is the statistical structure of the electric grid that is coming, we need to confront the dynamism of the network and discard the widespread linearized static model
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, making the design of flow and aerodynamic systems to be still largely empirical. The purpose of this project is to develop new insight and modelling methodology for boundary layers subjected to a
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, and is complicated further by the nature of anisotropic materials. The goal of this research is to use finite element methods to develop computational models which can accurately replicate behaviour
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., Rowe, R., Poulter, D., Powell, P., & Ypsilanti, A. (2019). Impulsive and Self-Regulatory Processes in Risky Driving among Young People: A Dual Process Model. Frontiers in Psychology. doi:10.3389/fpsyg
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to the structure integrity and noise generation of the turbine. The proposed research will focus on modeling and optimization of aerodynamic flow over a turbine blade in order to decrease the drag, and control noise
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the findings with Computational Fluid Dynamics based modelling work as part of an integrated team. A central aim of the project is to identify successful mitigation strategies and thereby enhance the commercial