Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100015
Funder
Australian Research Council
Funding Amount
$523,899.00
Summary
Integrated Tip-Enabled Nanofabrication and Characterisation at Atomic Scale. This project aims to establish the most advanced all-in-one multifunctional system going beyond the best system in the world. This facility is expected to combine tip-enabled nanofabrication, imaging, photo-/electrochemical, and electromechanical measurement to realise atomically precisely controlled nanofabrication, in-situ imaging, and real-time measurement of single active sites in micro and nanoscale devices.The pro ....Integrated Tip-Enabled Nanofabrication and Characterisation at Atomic Scale. This project aims to establish the most advanced all-in-one multifunctional system going beyond the best system in the world. This facility is expected to combine tip-enabled nanofabrication, imaging, photo-/electrochemical, and electromechanical measurement to realise atomically precisely controlled nanofabrication, in-situ imaging, and real-time measurement of single active sites in micro and nanoscale devices.The proposed facility features high-quality measurements in an unmatched spatial and temporal range, allowing studying physical and chemical phenomena that are difficult to detect using conventional methods. The proposed integrated system will be the first of its kind in Australia. Read moreRead less
Synthesis and Characterisation of Tracer-Functionalised Nanoparticles . This project aims to engineer nanomaterials by utilising gold nanochemistry and neural tracing capabilities of plant-based, nontoxic proteins. In a significant departure from current nanomaterials being developed, functionalising nanoparticles with the tracers enable them to undergo path-specific axonal retrograde transport, transneuronal transport, and anatomical tract flow to bypass the blood-brain barrier. Microfluidics w ....Synthesis and Characterisation of Tracer-Functionalised Nanoparticles . This project aims to engineer nanomaterials by utilising gold nanochemistry and neural tracing capabilities of plant-based, nontoxic proteins. In a significant departure from current nanomaterials being developed, functionalising nanoparticles with the tracers enable them to undergo path-specific axonal retrograde transport, transneuronal transport, and anatomical tract flow to bypass the blood-brain barrier. Microfluidics will be used to characterise the neuronal activities of the synthesised nanoconjugates of different sizes and compositions to understand their bio-interactions with axons, synapses, and neuromuscular junctions. The results will lead to a new class of functional nanomaterials as well as cell-based functional assays.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100036
Funder
Australian Research Council
Funding Amount
$754,700.00
Summary
Ultra-fast structure-property characterisation of materials. The design of materials for functional and damage-tolerant applications requires detailed knowledge of their structure and the mechanisms that operate at length scales ranging from interatomic layers to micro, meso and macro scales. This project aims to establish ultra-fast processing capabilities that enable ion-damage free structural modifications and microstructure-mechanical properties characterisation across multiple length scales ....Ultra-fast structure-property characterisation of materials. The design of materials for functional and damage-tolerant applications requires detailed knowledge of their structure and the mechanisms that operate at length scales ranging from interatomic layers to micro, meso and macro scales. This project aims to establish ultra-fast processing capabilities that enable ion-damage free structural modifications and microstructure-mechanical properties characterisation across multiple length scales at unprecedented speed and accuracy. Expected outcomes include the ability to create new knowledge about multi-scale structure, composition and deformation mechanisms for the design of novel materials systems that enable manufacturing benefits throughout transportation, defence and clean energy sectors.Read moreRead less
Nano-engineering of hierarchical catalysts for renewable chemicals. Producing high-value chemicals based on renewable alternatives -biomass resources is vital for the climate and a sustainable economy. This project will develop a unique nano-engineering approach to design hierarchical catalysts for the selective conversion of biomass into tailor-made products. Advanced in situ spectroscopic techniques will be employed to establish the structure-reactivity relationship of working catalysts and th ....Nano-engineering of hierarchical catalysts for renewable chemicals. Producing high-value chemicals based on renewable alternatives -biomass resources is vital for the climate and a sustainable economy. This project will develop a unique nano-engineering approach to design hierarchical catalysts for the selective conversion of biomass into tailor-made products. Advanced in situ spectroscopic techniques will be employed to establish the structure-reactivity relationship of working catalysts and thereby manipulate the key factors governing the activity/selectivity. Such cutting-edge knowledge gained is crucial for optimising process efficiency and resource utilisation, which is essential for the success of the biorefining industry and a more environmentally-friendly chemical economy in Australia.Read moreRead less
Making Strong Alloys Ductile and Hydrogen-Tolerant via Tuning Nanogradients. This project aims to develop a novel design concept of gradient segregation engineering (GSE) to produce high-performance alloys. The innovative GSE will synergistically introduce a chemical gradient via grain boundary segregation and a physical gradient by microstructure control to simultaneously achieve an excellent strength-ductility combination and exceptional resistance to hydrogen embrittlement. This project expec ....Making Strong Alloys Ductile and Hydrogen-Tolerant via Tuning Nanogradients. This project aims to develop a novel design concept of gradient segregation engineering (GSE) to produce high-performance alloys. The innovative GSE will synergistically introduce a chemical gradient via grain boundary segregation and a physical gradient by microstructure control to simultaneously achieve an excellent strength-ductility combination and exceptional resistance to hydrogen embrittlement. This project expects to create new fundamental knowledge and provide critical perspectives for future mechanistic alloy design. The results will enhance Australia’s capacity to develop next-generation advanced alloys to underpin current and emerging industrial applications and strengthen the country’s leading position in materials engineering.Read moreRead less
Bidirectional Evolutionary Structural Optimization for Transient Problems. Aims: This proposal aims to expand the bidirectional evolutionary structural optimisation (BESO) method for transient mechanical, multiphysical and robotic problems.
Significance: The study will develop new BESO transient algorithms by integrating time-dependent analysis and stepwise design sensitivity in multicriteria and multidisciplinary optimisation.
Expected outcomes: The project will largely broaden the algorithmi ....Bidirectional Evolutionary Structural Optimization for Transient Problems. Aims: This proposal aims to expand the bidirectional evolutionary structural optimisation (BESO) method for transient mechanical, multiphysical and robotic problems.
Significance: The study will develop new BESO transient algorithms by integrating time-dependent analysis and stepwise design sensitivity in multicriteria and multidisciplinary optimisation.
Expected outcomes: The project will largely broaden the algorithmic scope of BESO and enables it to solve more extensive real-life problems with time-varying nature.
Benefits include a new BESO design framework and computer program, as well as a series of novel designs, potentially being implemented for aerospace, automotive, biomedical, mechanical, civil and mechatronic applications.Read moreRead less
Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structu ....Experiment-numerical-virtual Generative Design for Nondeterministic Impacts. This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structures with intrinsic uncertainties. The generative design-calibration system unifying experimental-numerical-virtual processes will largely reduce the need for repetitive large-scale experimental tests. This project benefits civil, aerospace, automotive, and defence with competitive advantage through technological innovation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101196
Funder
Australian Research Council
Funding Amount
$439,012.00
Summary
Data-Driven Design for 3D Printed Materials with Tailored Fracture Response. Fracture is the main source of material failure and may cause serious engineering disasters and even death. This project aims to develop a Data-Driven Design System that intelligently optimizes local materials and architectures for heterogeneous structures with desired fracture response, and enhancing their mechanical fracture properties including stiffness, strength, toughness, and failure displacement. It will open up ....Data-Driven Design for 3D Printed Materials with Tailored Fracture Response. Fracture is the main source of material failure and may cause serious engineering disasters and even death. This project aims to develop a Data-Driven Design System that intelligently optimizes local materials and architectures for heterogeneous structures with desired fracture response, and enhancing their mechanical fracture properties including stiffness, strength, toughness, and failure displacement. It will open up a new and promising research field in mechanics and data-driven science that deals with intractable inverse problems in broad engineering fields. Economic, high-performance, and customized 3D printed structural materials will be generated to benefit national corporations and enterprises and meet the high-end industry needs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101371
Funder
Australian Research Council
Funding Amount
$459,592.00
Summary
Boron nitride nanosheets for low energy consumption self-cooling devices. This project aims to investigate the thermal transport mechanism of strained two-dimensional materials for self-cooling thermal management. It expects to generate new knowledge about their unique thermal properties, guiding the use of waste heat generated in electronics for self-cooling. Expected outcomes include a novel energy-effective thermal management strategy and enhanced capacity to engineer thermal transport in two ....Boron nitride nanosheets for low energy consumption self-cooling devices. This project aims to investigate the thermal transport mechanism of strained two-dimensional materials for self-cooling thermal management. It expects to generate new knowledge about their unique thermal properties, guiding the use of waste heat generated in electronics for self-cooling. Expected outcomes include a novel energy-effective thermal management strategy and enhanced capacity to engineer thermal transport in two-dimensional materials that will be deployed in miniaturised and high-density electronics to overcome overheating problems. This will provide significant benefits to the economy and the environment, such as reduced cost, energy consumption and CO2 emissions in thermal management technologies. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101683
Funder
Australian Research Council
Funding Amount
$448,354.00
Summary
Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, ....Computational Design of Defect-Free Additive Manufactured Ceramic Structure. Despite its importance and potential, ceramic additive manufacturing (AM) is facing significant challenge for its inherent material characteristics prone to shrinkage and fracture during fabrication process. This project aims to fill a knowledge gap by developing a new computational design framework for a commonly-used indirect AM process. It will address a range of AM issues, such as residual stress/distortion, cracks, and uncertainty in a nondeterministic context. The study is expected to establish novel design methodologies for ceramic AM with process modelling, robust/reliable optimisation, and fracture-based design. It will provide ceramic industry with a new framework for biomedical, aerospace and mechanical applications.Read moreRead less