ARC Centre of Excellence for Dark Matter Particle Physics. The Centre of Excellence for Dark Matter Particle Physics will deliver breakthroughs in our understanding of the Universe through the pursuit of the discovery of dark matter particles which comprise 80% of the mass of the universe. It assembles for the first time a strong and diverse team of physicists from particle, nuclear, and quantum physics as well as particle astrophysics. It will deliver high-profile experiments using new cutting- ....ARC Centre of Excellence for Dark Matter Particle Physics. The Centre of Excellence for Dark Matter Particle Physics will deliver breakthroughs in our understanding of the Universe through the pursuit of the discovery of dark matter particles which comprise 80% of the mass of the universe. It assembles for the first time a strong and diverse team of physicists from particle, nuclear, and quantum physics as well as particle astrophysics. It will deliver high-profile experiments using new cutting-edge technologies. The Centre will exploit the unique geographical location of the first underground physics lab in the Southern Hemisphere. The ultra-sensitive detectors and ultra-low radiation techniques will translate into a broad range of industrial applications and train a new generation of scientists.Read moreRead less
Data-driven monitoring of raceway dynamics in ironmaking blast furnaces. Raceway dynamics in ironmaking blast furnaces affect operational stability and cost considerably, yet their dynamic behaviour has not been well monitored online. The project aims to develop a data-driven model for monitoring the internal state of gas-solid-powder reacting flow in the raceway and predicting raceway anomalies online. It will be achieved by combining particle-fluid numerical simulations with data processing an ....Data-driven monitoring of raceway dynamics in ironmaking blast furnaces. Raceway dynamics in ironmaking blast furnaces affect operational stability and cost considerably, yet their dynamic behaviour has not been well monitored online. The project aims to develop a data-driven model for monitoring the internal state of gas-solid-powder reacting flow in the raceway and predicting raceway anomalies online. It will be achieved by combining particle-fluid numerical simulations with data processing and reduced-order state observer, supported by lab/plant experiments, and collaborating with two industry partners from coal and steel industries. The project outcomes including codes, models and raceway control strategies can help promote Australian metallurgical coal's global markets and ultimately the Australian economy.Read moreRead less