Australian Laureate Fellowships - Grant ID: FL160100089
Funder
Australian Research Council
Funding Amount
$2,600,796.00
Summary
In situ electron microscopy toward new materials and applications. In situ electron microscopy toward new materials and applications. This project aims to develop materials for structural and green energy applications, using spatially-resolved, dynamic in situ transmission electron microscopy to research fundamental mechanical, electrical, thermal, optical, optoelectronic and photovoltaic properties of diverse nanostructures. These techniques measure nanomaterial (one-dimensional nanotubes and n ....In situ electron microscopy toward new materials and applications. In situ electron microscopy toward new materials and applications. This project aims to develop materials for structural and green energy applications, using spatially-resolved, dynamic in situ transmission electron microscopy to research fundamental mechanical, electrical, thermal, optical, optoelectronic and photovoltaic properties of diverse nanostructures. These techniques measure nanomaterial (one-dimensional nanotubes and nanowires and two-dimensional graphene-like nanosheets) response to external stimuli, including mechanical, electrical, optical and thermal stimuli. Anticipated outcomes are new ultralight and superstrong structural composites and ‘green-energy’ nanomaterials, such as solar cells, touch panels, batteries, supercapacitors, field-effect transistors, light sensors and displays.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL210100045
Funder
Australian Research Council
Funding Amount
$3,245,263.00
Summary
Energy-efficient artificial intelligence using quantum technologies. Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected ....Energy-efficient artificial intelligence using quantum technologies. Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected outcomes are neuromorphic computers that operate efficiently—with low-energy cost—and rapidly—achieving speeds impossible with conventional electronic approaches. The anticipated benefits are transformative technologies for AI, new applications across society, and new tools for exploring brain function and cognition.Read moreRead less