Cell Membrane Coated Photonic Crystal to study Receptor-Ligand Interactions. The current gold-standard assays for examining receptor-ligand interactions require expensive and costly fluorescent or radioactive labels or proteomics processes. This project aims to develop Artificial Photonic Cells by directly coating photonic crystals with cell membranes. The Artificial Photonic Cells retain the protein receptors in their native cell membrane environment and allow for label-free monitoring of the r ....Cell Membrane Coated Photonic Crystal to study Receptor-Ligand Interactions. The current gold-standard assays for examining receptor-ligand interactions require expensive and costly fluorescent or radioactive labels or proteomics processes. This project aims to develop Artificial Photonic Cells by directly coating photonic crystals with cell membranes. The Artificial Photonic Cells retain the protein receptors in their native cell membrane environment and allow for label-free monitoring of the receptor-ligand interactions using inexpensive miniature spectrometers - radically transforming these assays. This would generate fundamental and applied knowledge of materials sciences, photonic, and biointerfaces for label-free, ultra-sensitive, and selective assays to enable future drug and diagnostics target discovery. Read moreRead less
Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility ....Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project benefits include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.Read moreRead less
Indoor Photovoltaics Enabled by Wide-Bandgap Perovskite Quantum Dots. This project aims to develop a high-efficiency indoor photovoltaic (PV) technology to provide reliable low-cost power in the multi-billion dollar “Internet of Things” (IoT) market. There are currently no devices that meet the requirements for maximum operating efficiency under indoor illumination. We propose to solve this problem by fabricating PV cells using colloidal perovskite quantum dots that offer class-leading stability ....Indoor Photovoltaics Enabled by Wide-Bandgap Perovskite Quantum Dots. This project aims to develop a high-efficiency indoor photovoltaic (PV) technology to provide reliable low-cost power in the multi-billion dollar “Internet of Things” (IoT) market. There are currently no devices that meet the requirements for maximum operating efficiency under indoor illumination. We propose to solve this problem by fabricating PV cells using colloidal perovskite quantum dots that offer class-leading stability and band gap tunability across the required range, enabled by quantum confinement. The outcome is the development of integrated self-powered IoT devices potentially impacting Advanced Manufacturing growth in Energy, Cyber Security, Food and Agribusiness, as all of these will ultimately rely on networked smart devices.Read moreRead less