Laser emission at the limit of glass transparency using nanocrystal doping . We will create a new composite glass providing strong fluorescence which fully exploits the high transmission of glass in the mid-infrared. When combined with emerging rare earth ion transitions and precise excitation processes, this project will help solve an important problem in optics; that the overall efficiency and power produced from deep mid-infrared light sources is not sufficient for all industries. The primary ....Laser emission at the limit of glass transparency using nanocrystal doping . We will create a new composite glass providing strong fluorescence which fully exploits the high transmission of glass in the mid-infrared. When combined with emerging rare earth ion transitions and precise excitation processes, this project will help solve an important problem in optics; that the overall efficiency and power produced from deep mid-infrared light sources is not sufficient for all industries. The primary outcome will be a series of robust fibre-based gain modules suitable for high power and very short optical pulses in the mid-infrared. These light sources will beneficially impact medicine, defence, sensing and manufacturing providing excellent opportunities for increasing Australian productivity and global competitiveness. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100001
Funder
Australian Research Council
Funding Amount
$410,000.00
Summary
Collaborative advanced spectroscopy facility for materials and devices. Collaborative advanced spectroscopy facility for materials and devices: This project aims to enable advancements in electronics, photonics, biomedicine, and sensing through a collaborative, open access facility for advanced optical and chemical spectroscopy of thin films, materials, and devices. The intended capabilities include high-speed, precise and state-of-the-art spectroscopy tools which enable in situ characterisation ....Collaborative advanced spectroscopy facility for materials and devices. Collaborative advanced spectroscopy facility for materials and devices: This project aims to enable advancements in electronics, photonics, biomedicine, and sensing through a collaborative, open access facility for advanced optical and chemical spectroscopy of thin films, materials, and devices. The intended capabilities include high-speed, precise and state-of-the-art spectroscopy tools which enable in situ characterisation at sub-micron scales and cryogenic temperatures, under bio-simulated environments, down to single pixel resolution, with parallel imaging and spectroscopy, and of fluids and biomaterials. The instrumentation will include cryogenic sub-micron photoluminescence and micro-Raman spectroscopy, single pixel optical and dark field spectroscopy, continuous wave terahertz time-domain spectroscopy, wide wavelength microscopic spectroscopy, and temperature-jump kinetics spectroscopy. It is expected that these complementary instruments will accelerate research in materials and devices for plasmonics, nanoelectronics, biomedicine, biochemistry, security, and forensic science.Read moreRead less
Next generation photonic waveguide sensors enabled by machine learning. This project aims to establish the next frontier in photonic waveguide sensing, by using machine learning to shift the complexity out of conventional photonic-waveguide/optical-fibre sensors and into smart detection algorithms. The complexity and instability of multimode photonic waveguides, traditionally a hinderance to sensing, will be advantageously employed to train deep learning models for sensing. Expected outcomes inc ....Next generation photonic waveguide sensors enabled by machine learning. This project aims to establish the next frontier in photonic waveguide sensing, by using machine learning to shift the complexity out of conventional photonic-waveguide/optical-fibre sensors and into smart detection algorithms. The complexity and instability of multimode photonic waveguides, traditionally a hinderance to sensing, will be advantageously employed to train deep learning models for sensing. Expected outcomes include the creation of intelligent photonic sensors that can, in principle, measure any environmental parameter using any optical waveguide material. It will create new critically needed measurement capabilities for challenging harsh environments, such as extreme temperature and in-vivo biochemical sensing.Read moreRead less