The Development of High Strength Aluminium and Magnesium Alloys Using "Edge-to-edge" Matching Model. The theoretical, crystallographic "edge-to-edge" matching model for diffusion-controlled phase transformations will be applied to the practical development of improved industrial aluminium and magnesium alloys with assistance of computer simulations. The model will be used to enhance the precipitation hardening response and to identify more effective grain refiners in these light alloys. The aim ....The Development of High Strength Aluminium and Magnesium Alloys Using "Edge-to-edge" Matching Model. The theoretical, crystallographic "edge-to-edge" matching model for diffusion-controlled phase transformations will be applied to the practical development of improved industrial aluminium and magnesium alloys with assistance of computer simulations. The model will be used to enhance the precipitation hardening response and to identify more effective grain refiners in these light alloys. The aims will be the development of one high strength aluminium alloy with good ductility and one high strength magnesium alloy with good creep resistance at elevated temperatures. A computer program that will help to identify the most effective grain refiners for specific light alloys will also be produced.Read moreRead less
Computer Modelling of the Morphology and Crystallography of Diffusion-controlled Phase Transformations. An analytical, phenomenological version of the successful "edge-to edge" matching approach to the morphology and crystallography of diffusion-controlled phase transformations will be developed. This will be incorporated in a Windows based computer program that can predict the essential features of precipitation (orientation relationships, habit planes, morphology and interface structure), fro ....Computer Modelling of the Morphology and Crystallography of Diffusion-controlled Phase Transformations. An analytical, phenomenological version of the successful "edge-to edge" matching approach to the morphology and crystallography of diffusion-controlled phase transformations will be developed. This will be incorporated in a Windows based computer program that can predict the essential features of precipitation (orientation relationships, habit planes, morphology and interface structure), from readily available input data for the two phases involved. It will provide a fuller understanding of diffusion-controlled phase transformations and the computer simulation will assist in the development of improved precipitation hardening alloys. In addition, a database of crystallographic data for typical metallic materials will be established in the project.Read moreRead less
QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and en ....QUA:Queensland digital Ultra-Atlas. This project aims to design and develop a digital ultra-atlas of Queensland which integrates the capabilities of GIS(geographical information system) with interactive 4D graphical modelling,knowledge extraction and context-based query and retrieval. This ultra-atlas would allow users to discover knowledge on natural resources,cultural characteristics and historical changes,as well as simulating different effects by providing advanced search capabilities and engaging display of spatial and thematically-linked data. Such an ultra-atlas would have enormous impact on facilitating strategic planning and performance in many applications(e.g fire control,environment and urban planning).Read moreRead less
Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biolog ....Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biological data. In this project we will develop efficient methodologies and data structures for gathering high-quality approximations of full genomic information, and will use these innovations as the foundation to develop novel, practical tools for clustering and visualization in genomic data mining and database management.
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Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in ....Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework. This will be used on an exemplar application for lineage commitment in haematopoiesis and for exploring and validating genetic regulatory models in general.Read moreRead less
Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will ex ....Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework for exploring and validating genetic regulatory models in general. This will be used on an exemplar application for understanding the induction process in lambda phage.Read moreRead less