Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0221428
Funder
Australian Research Council
Funding Amount
$530,000.00
Summary
A Transportable Optical Frequency Counter, Synthesizer and Super-Continuum Generator (OFCSSG). The generation of ultra-short light pulses of just a few femtoseconds (one thousand-trillionth of a second) in duration has enabled applications in a wide range of fields, but complexity and cost has limited availability. This project will employ recently developed optical fibre and solid-state laser technology to create a cost-effective compact transportable facility of highly coherent, ultra-broadba ....A Transportable Optical Frequency Counter, Synthesizer and Super-Continuum Generator (OFCSSG). The generation of ultra-short light pulses of just a few femtoseconds (one thousand-trillionth of a second) in duration has enabled applications in a wide range of fields, but complexity and cost has limited availability. This project will employ recently developed optical fibre and solid-state laser technology to create a cost-effective compact transportable facility of highly coherent, ultra-broadband radiation. The source will enable new research and substantially enrich existing research in optical time standards and metrology, in-vivo biological imaging, and ultrafast spectroscopy. No such facility is presently available in AustraliaRead moreRead less
Evolutionary multi-objective algorithms for Global Grids. This research investigates alternative software technologies for Grid-based evolutionary multi-objective decision algorithms. By employing the latest adaptive techniques and taking advantage of the low cost Grid infrastructure, new parallel evolutionary systems will be developed that can rapidly supply robust solutions to complex problems. This project will further develop an understanding of scaling issues in parallel evolutionary syste ....Evolutionary multi-objective algorithms for Global Grids. This research investigates alternative software technologies for Grid-based evolutionary multi-objective decision algorithms. By employing the latest adaptive techniques and taking advantage of the low cost Grid infrastructure, new parallel evolutionary systems will be developed that can rapidly supply robust solutions to complex problems. This project will further develop an understanding of scaling issues in parallel evolutionary systems and pave the way for even more widespread application of evolutionary techniques for large scale, data-intensive applications in science and industry.Read moreRead less