Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100126
Funder
Australian Research Council
Funding Amount
$527,638.00
Summary
Advanced Maskless Photolitography for Western Australia. This project aims to close an existing gap in micro- & nano-fabrication in Western Australia and provide access to advanced maskless photolithography in support of Australian research flagships of international excellence which include advanced infrared and quantum technologies, semiconductor optoelectronics, chemical engineering, microelectromechanical systems, as well as dark matter and gravitational wave discovery. Notably, the new capa ....Advanced Maskless Photolitography for Western Australia. This project aims to close an existing gap in micro- & nano-fabrication in Western Australia and provide access to advanced maskless photolithography in support of Australian research flagships of international excellence which include advanced infrared and quantum technologies, semiconductor optoelectronics, chemical engineering, microelectromechanical systems, as well as dark matter and gravitational wave discovery. Notably, the new capability is of utmost importance for five distinct ARC Centres in multidisciplinary areas and will be available to all researchers via the WA Node of Australian National Fabrication Facility in support of high impact scientific research and to maintain strong engagement with industry and Australian economy.Read moreRead less
Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale ....Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale computing, and the interaction of non-computing components with individual computing systems. This project addresses these challenges via a holistic, multi-scale paradigm for modelling, analysis, and optimisation of energy cost, carbon footprint, and product lifetime in emerging computing systems.Read moreRead less