Controllable synthesis of multifunctional boron-based 2D materials. This project aims to make it possible to control the synthesis of boron-based two-dimensional (2D) materials with the desired following features in single or multiple aspects: thickness, composition, lateral sizes, porosity, surface area, and functionality. It intends to do so by designing and synthesising novel precursors, and by optimising the fabrication process of boron-based 2D nanosheets for different applications. The pro ....Controllable synthesis of multifunctional boron-based 2D materials. This project aims to make it possible to control the synthesis of boron-based two-dimensional (2D) materials with the desired following features in single or multiple aspects: thickness, composition, lateral sizes, porosity, surface area, and functionality. It intends to do so by designing and synthesising novel precursors, and by optimising the fabrication process of boron-based 2D nanosheets for different applications. The project will advance our fundamental knowledge in synthetic chemistry, materials chemistry, materials engineering and physics. It is expected to take us closer to unlocking the potential of boron-based 2D materials for real-world applications in, for example, energy storage and high-performance flexible electronics.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100215
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Nature-inspired electrochemical conversion of nitrogen to ammonia. This project aims to achieve a highly active electrochemical catalytic system for ammonia production from atmospheric nitrogen under ambient conditions. Ammonia is essential for plant growth and food production but its synthesis is energy intensive, eco-destructive and costly. The project will design a functional device featuring a catalyst that will not only provide insights into the fundamentals of nitrogen reduction but also a ....Nature-inspired electrochemical conversion of nitrogen to ammonia. This project aims to achieve a highly active electrochemical catalytic system for ammonia production from atmospheric nitrogen under ambient conditions. Ammonia is essential for plant growth and food production but its synthesis is energy intensive, eco-destructive and costly. The project will design a functional device featuring a catalyst that will not only provide insights into the fundamentals of nitrogen reduction but also a sustainable and cost effective production of ammonia, a potential key to future world food supply and renewable energy.Read moreRead less
Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in ha ....Platform technology to decode motor control through ultra high-field MRI. This project aims to advance our understanding of the poorly understood neural circuits that enable fine motor control in humans. To obtain this knowledge, new platform technology will be developed to capture the full kinematics of the hand during concurrent functional magnetic resonance imaging at ultra high-field. This device will allow testing of fundamental theories describing the canonical microcircuits involved in hand motion. Expected outcomes include new evidence of mirror neurons and observation of predictive error signals in the motor cortex. This new knowledge paves the way towards improved computer-brain interface technology which is likely to create benefits through translation to applications such as artificial limb control.Read moreRead less
The structure and function of the human spinal connectome. This project will use complex network analysis to map the interactions between the brain and body, to understand how the central nervous system controls our movements. The project will provide fundamental insights into mechanisms that coordinate activity in the human motor system, and how the breakdown of coordination may lead to movement disorders. By integrating advanced computational analyses with state-of-the-art recording techniques ....The structure and function of the human spinal connectome. This project will use complex network analysis to map the interactions between the brain and body, to understand how the central nervous system controls our movements. The project will provide fundamental insights into mechanisms that coordinate activity in the human motor system, and how the breakdown of coordination may lead to movement disorders. By integrating advanced computational analyses with state-of-the-art recording techniques, the project will generate new knowledge of the neural basis of human motor coordination. Expected outcomes may support future applications to restore motor function through brain stimulation, prosthetics and robotics design.Read moreRead less
Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outc ....Developmental trajectory of tongue control for speech with real-time MRI. This project aims to evaluate the developmental trajectory of tongue control during speech, relating dynamic 3D vocal tract modelling to the acoustic signal. By optimising real-time MRI technology to capture and model articulatory movements, the project expects to accelerate understanding of how tongue control for speech is developed, mastered, and perturbed by factors such as rapid growth and foreign accent. Expected outcome is a new understanding of how different speakers' vocal tracts change and how speech is reshaped, informed by real physiological data. Significant benefits will be realised through refined methods and theory development for diverse fields e.g. linguistics, speech science, and automatic speech recognition/synthesis. Read moreRead less
Learning control and computational models of human motor systems. With the aim of understanding how humans learn their body movements, this project addresses fundamental cross-disciplinary issues of learning control, robotics and computational models of human motor systems. The results will lead to improvements in smart industrial automation and the development of more effective rehabilitation stategies.